Key takeaways

• Based on the evidence provided, there is not enough reliable support to say that GPT Image 2 is better than GPT Image 1.5 at rendering readable text inside images. The strongest official evidence only says that GPT Image models, including `gpt-image-1.5` and `gpt-image-1`, have text rendering that i
• The supplied official OpenAI documentation confirms that GPT Image models have improved text rendering relative to earlier DALL·E models, not relative to each other.
• The evidence set includes official references to `gpt-image-1` and mentions `gpt-image-1.5`, but it does not include an official model page or benchmark for a model explicitly identified as `gpt-image-2`.
• The only item suggesting a major typography improvement for “ChatGPT Images 2.0” is a social-media post, which is weaker evidence than official documentation or published evaluations.
• Therefore, the answer is: Insufficient evidence to confirm that GPT Image 2 is better than GPT Image 1.5 at rendering readable text inside images.
• Based on the evidence provided, there is not enough reliable support to say that GPT Image 2 is better than GPT Image 1.5 at rendering readable text inside images. The strongest official evidence only says that GPT Image models, including `gpt-image-1.5` and `gpt-image-1`, have t
• ## Key findings

Research answer

Based on the evidence provided, there is not enough reliable support to say that GPT Image 2 is better than GPT Image 1.5 at rendering readable text inside images. The strongest official evidence only says that GPT Image models, including

gpt-image-1.5

and

gpt-image-1

, have text rendering that is significantly improved over DALL·E models, but it does not provide a direct 1.5-versus-2 comparison or a benchmark for readable text performance between those two versions ^[4]. A single X post claims “99% typography accuracy” for “ChatGPT Images 2.0,” but that is not an official benchmark document and is not enough on its own to establish the comparison ^[64].

Key findings

• The supplied official OpenAI documentation confirms that GPT Image models have improved text rendering relative to earlier DALL·E models, not relative to each other ^[4].
• The evidence set includes official references to

  gpt-image-1

  and mentions

  gpt-image-1.5

  , but it does not include an official model page or benchmark for a model explicitly identified as

  gpt-image-2

  ^[2][4][6].
• The only item suggesting a major typography improvement for “ChatGPT Images 2.0” is a social-media post, which is weaker evidence than official documentation or published evaluations ^[64].
• Therefore, the answer is: Insufficient evidence to confirm that GPT Image 2 is better than GPT Image 1.5 at rendering readable text inside images.

Confirmed facts

• OpenAI’s image-generation guide lists GPT Image models including

  gpt-image-1.5

  ,

  gpt-image-1

  , and

  gpt-image-1-mini

  ^[4].
• That same guide states that text rendering is “significantly improved” over DALL·E models, while still describing text rendering as a limitation category for GPT Image models ^[4].
• OpenAI has an official model page for

  gpt-image-1

  with pricing and generation settings, which confirms that

  gpt-image-1

  is a current documented model in the API docs ^[2].
• The supplied OpenAI models index also references “Image 1,” reinforcing that official documentation in this evidence set is centered on the Image 1 family rather than an officially documented “Image 2” page ^[6].
• A post on X claims “99% typography accuracy” for “ChatGPT Images 2.0,” but the provided evidence does not show an OpenAI technical document, evaluation methodology, or side-by-side comparison supporting that number ^[64].

What remains inference

• It is possible that “GPT Image 2” refers to “ChatGPT Images 2.0,” but the evidence provided does not formally map those names to the same API model family ^[64].
• It is possible that GPT Image 2 is better at typography than GPT Image 1.5, but the evidence does not provide controlled tests, official benchmarks, or even a direct vendor claim in the docs comparing the two ^[4][64].
• It is also possible that “99% typography accuracy” refers to a narrow internal test rather than general real-world text rendering across prompts, fonts, languages, or layouts, because no methodology is provided in the supplied evidence ^[64].

What the evidence suggests

• The official documentation supports a modest claim: recent GPT Image models are better at text rendering than older DALL·E models ^[4].
• The evidence does not support the stronger claim the user asked about: that GPT Image 2 is better than GPT Image 1.5 specifically at rendering readable text ^[4].
• If forced to weigh the evidence, the social post points toward a likely improvement narrative for a newer image system, but that remains suggestive rather than verified because it lacks official documentation and reproducible testing in the supplied record ^[64].

Conflicting evidence or uncertainty

• There is no direct contradiction in the evidence, but there is a major evidence gap.
• Official OpenAI documentation in the record discusses

  gpt-image-1

  and mentions

  gpt-image-1.5

  , yet the supplied evidence does not include an official GPT Image 2 model page or a text-rendering benchmark comparing 1.5 and 2 ^[2][4][6].
• The X post is the only source mentioning a high typography-accuracy figure for “ChatGPT Images 2.0,” and social-media claims are materially weaker than primary technical documentation, especially when no test details are shown ^[64].
• Because of that gap, any conclusion stronger than “unverified but plausible” would overstate what the evidence can support.

Open questions

• Is “GPT Image 2” an official API model name, or is it a product/marketing label such as “ChatGPT Images 2.0”? ^[64]
• Did OpenAI publish any benchmark or eval methodology for text readability, spelling accuracy, or typography across image models? The supplied evidence does not show one ^[4][64].
• Are there controlled side-by-side tests comparing

  gpt-image-1.5

  and the newer system on identical prompts with readable text requirements? The supplied evidence does not include any ^[4].

Sources worth trusting most

• The strongest source here is the official OpenAI image-generation guide, because it directly discusses GPT Image model limitations and capabilities, including text rendering, even though it does not answer the 1.5-versus-2 question directly ^[4].
• The official OpenAI model page for

  gpt-image-1

  is also strong for confirming model existence and official documentation status, but it does not provide typography comparisons ^[2].
• The OpenAI models index is useful for confirming naming/documentation context, though it is less specific than the model or guide pages ^[6].
• The X post is the weakest source for the core claim because it is not official technical documentation and provides no visible methodology in the supplied evidence ^[64].

Recommended next step

• Treat the claim as unproven unless you can obtain one of these:
  • an official OpenAI page for GPT Image 2 with text-rendering claims,
  • a published benchmark comparing GPT Image 2 and GPT Image 1.5 on readable text,
  • or controlled side-by-side test results using the same prompts and settings.
• If you want, I can next help you design a fair prompt-based evaluation rubric for “readable text in images” so you can compare the models yourself.

Summary

No, this cannot be confirmed from the provided evidence. Official documentation supports only that GPT Image models improved text rendering versus DALL·E, not that GPT Image 2 outperforms GPT Image 1.5 specifically ^[4]. The only evidence pointing toward a major typography leap for “ChatGPT Images 2.0” is a single social-media post, which is not strong enough to establish the claim on its own ^[64].

Supporting visuals

Research conversation

YouApr 22, 2026

Research question

Search and fact-check: Is GPT Image 2 better than GPT Image 1.5 at rendering readable text inside images?

Studio Global AIApr 22, 202640 sources

Cited answer

Verdict

Insufficient evidence. Based on the provided sources, I can’t verify that GPT Image 2 is definitively better than GPT Image 1.5 at rendering readable text inside images.^{[1][3][5][6][7][59]}

What the evidence does show

• The OpenAI sources in the provided evidence are API references and image-generation guides, but the snippets shown do not include any benchmark, evaluation, or explicit comparison between GPT Image 2 and GPT Image 1.5 on text rendering quality.^{[1][3][5][6][7]}

• The only direct comparison in the provided evidence is a Reddit post claiming that GPT Image 2 produces “super legible” text and is a “huge upgrade” over GPT Image 1.5.^[59]

Why that is not enough to fact-check the claim

• A single Reddit anecdote is not strong enough to establish a general performance claim without controlled examples, official test results, or independent evaluations.^[59]

• Since the provided official documentation snippets do not address readable text performance at all, they do not confirm the Reddit claim.^{[1][3][5][6][7]}

Conclusion

If you ask strictly for a fact-check from the evidence provided, the answer is: not proven. There is one anecdotal signal in favor of GPT Image 2, but no solid comparative evidence here to confirm it.^{[1][3][5][6][7][59]}

YouApr 22, 2026

Research question

Research and fact-check: Is GPT Image 2 better than GPT Image 1.5 at rendering readable text inside images?

Studio Global AIApr 22, 202622 sources

Cited answer

Based on the provided evidence alone, there is not enough reliable support to conclude that GPT Image 2 is definitively better than GPT Image 1.5 at rendering readable text inside images. Insufficient evidence. The only direct claim in the evidence favoring GPT Image 2 on text legibility is a Reddit anecdote, which is too weak on its own to establish a fact-checked conclusion ^[22].

Key findings

• The strongest direct comparison in the provided evidence is a Reddit post stating that GPT Image 2 output is “so much better” and that “all the text is super legible,” but this is an unverified user report rather than a controlled benchmark or official evaluation ^[22].

• The provided GPT Image 1.5 materials describe improvements such as faster generation, stronger instruction following, and more precise editing that preserves important details like faces, logos, and lighting, but the snippets do not provide a direct text-readability benchmark against GPT Image 2 ^[5][6][7].

• One provided academic source includes “Text” as a category in a broader image-editing evaluation table, which shows that text rendering/editing is a recognized benchmark dimension, but the evidence shown does not establish a head-to-head GPT Image 2 vs. GPT Image 1.5 result ^[1].

• A comparison page between “ChatGPT Images” and “GPT Image 2” is listed in the evidence, but the snippet provided does not show a methodology, a text-legibility metric, or a clear result relevant to GPT Image 2 versus GPT Image 1.5 specifically ^[2].

• The provided GPT Image 2 guide entry does not expose any usable claim in the snippet about readable text performance, so it does not materially strengthen the case either way from the evidence shown ^[3].

Evidence notes

• The available evidence is uneven in quality:
  • ^[1] is the most academic-looking source, but it does not clearly answer the exact product-vs-product question from the visible evidence ^[1].
  • ^[22] is the only direct claim about text readability, but it is anecdotal ^[22].
  • ^[5], ^[6], and ^[7] describe GPT Image 1.5 positively, but not with a direct comparable text-rendering test against GPT Image 2 ^[5][6][7].

Limitations / uncertainty

• There is no official OpenAI benchmark, release note, or controlled side-by-side evaluation in the provided evidence that directly measures readable text rendering for GPT Image 2 versus GPT Image 1.5.

• Several sources are product guides or comparison pages rather than primary technical evaluations, and the snippets shown do not contain enough detail to verify methodology or isolate text performance ^{[2][3][5][6][7]}.

• Because the only explicit “GPT Image 2 is better at text” evidence here is anecdotal, the safest fact-checked answer is that the claim is not established by the provided record ^[22].

Summary

With only the evidence provided, you cannot reliably say that GPT Image 2 is better than GPT Image 1.5 at rendering readable text inside images. There is a weak signal pointing that way from one Reddit comparison ^[22], but there is no strong, direct, verifiable benchmark in the evidence to confirm it ^{[1][2][3][5][6][7]}.

YouApr 22, 2026

Research question

Deep research & fact-check: Is GPT Image 2 better than GPT Image 1.5 at rendering readable text inside images?

Studio Global AIApr 22, 202640 sources

Cited answer

Based on the evidence provided, there is not enough reliable support to say that GPT Image 2 is better than GPT Image 1.5 at rendering readable text inside images. The strongest official evidence only says that GPT Image models, including

gpt-image-1.5

and

gpt-image-1

, have text rendering that is significantly improved over DALL·E models, but it does not provide a direct 1.5-versus-2 comparison or a benchmark for readable text performance between those two versions ^[4]. A single X post claims “99% typography accuracy” for “ChatGPT Images 2.0,” but that is not an official benchmark document and is not enough on its own to establish the comparison ^[64].

Key findings

• The supplied official OpenAI documentation confirms that GPT Image models have improved text rendering relative to earlier DALL·E models, not relative to each other ^[4].
• The evidence set includes official references to

  gpt-image-1

  and mentions

  gpt-image-1.5

  , but it does not include an official model page or benchmark for a model explicitly identified as

  gpt-image-2

  ^[2][4][6].
• The only item suggesting a major typography improvement for “ChatGPT Images 2.0” is a social-media post, which is weaker evidence than official documentation or published evaluations ^[64].
• Therefore, the answer is: Insufficient evidence to confirm that GPT Image 2 is better than GPT Image 1.5 at rendering readable text inside images.

Confirmed facts

• OpenAI’s image-generation guide lists GPT Image models including

  gpt-image-1.5

  ,

  gpt-image-1

  , and

  gpt-image-1-mini

  ^[4].
• That same guide states that text rendering is “significantly improved” over DALL·E models, while still describing text rendering as a limitation category for GPT Image models ^[4].
• OpenAI has an official model page for

  gpt-image-1

  with pricing and generation settings, which confirms that

  gpt-image-1

  is a current documented model in the API docs ^[2].
• The supplied OpenAI models index also references “Image 1,” reinforcing that official documentation in this evidence set is centered on the Image 1 family rather than an officially documented “Image 2” page ^[6].
• A post on X claims “99% typography accuracy” for “ChatGPT Images 2.0,” but the provided evidence does not show an OpenAI technical document, evaluation methodology, or side-by-side comparison supporting that number ^[64].

What remains inference

• It is possible that “GPT Image 2” refers to “ChatGPT Images 2.0,” but the evidence provided does not formally map those names to the same API model family ^[64].
• It is possible that GPT Image 2 is better at typography than GPT Image 1.5, but the evidence does not provide controlled tests, official benchmarks, or even a direct vendor claim in the docs comparing the two ^[4][64].
• It is also possible that “99% typography accuracy” refers to a narrow internal test rather than general real-world text rendering across prompts, fonts, languages, or layouts, because no methodology is provided in the supplied evidence ^[64].

What the evidence suggests

• The official documentation supports a modest claim: recent GPT Image models are better at text rendering than older DALL·E models ^[4].
• The evidence does not support the stronger claim the user asked about: that GPT Image 2 is better than GPT Image 1.5 specifically at rendering readable text ^[4].
• If forced to weigh the evidence, the social post points toward a likely improvement narrative for a newer image system, but that remains suggestive rather than verified because it lacks official documentation and reproducible testing in the supplied record ^[64].

Conflicting evidence or uncertainty

• There is no direct contradiction in the evidence, but there is a major evidence gap.
• Official OpenAI documentation in the record discusses

  gpt-image-1

  and mentions

  gpt-image-1.5

  , yet the supplied evidence does not include an official GPT Image 2 model page or a text-rendering benchmark comparing 1.5 and 2 ^[2][4][6].
• The X post is the only source mentioning a high typography-accuracy figure for “ChatGPT Images 2.0,” and social-media claims are materially weaker than primary technical documentation, especially when no test details are shown ^[64].
• Because of that gap, any conclusion stronger than “unverified but plausible” would overstate what the evidence can support.

Open questions

• Is “GPT Image 2” an official API model name, or is it a product/marketing label such as “ChatGPT Images 2.0”? ^[64]
• Did OpenAI publish any benchmark or eval methodology for text readability, spelling accuracy, or typography across image models? The supplied evidence does not show one ^[4][64].
• Are there controlled side-by-side tests comparing

  gpt-image-1.5

  and the newer system on identical prompts with readable text requirements? The supplied evidence does not include any ^[4].

Sources worth trusting most

• The strongest source here is the official OpenAI image-generation guide, because it directly discusses GPT Image model limitations and capabilities, including text rendering, even though it does not answer the 1.5-versus-2 question directly ^[4].
• The official OpenAI model page for

  gpt-image-1

  is also strong for confirming model existence and official documentation status, but it does not provide typography comparisons ^[2].
• The OpenAI models index is useful for confirming naming/documentation context, though it is less specific than the model or guide pages ^[6].
• The X post is the weakest source for the core claim because it is not official technical documentation and provides no visible methodology in the supplied evidence ^[64].

Recommended next step

• Treat the claim as unproven unless you can obtain one of these:
  • an official OpenAI page for GPT Image 2 with text-rendering claims,
  • a published benchmark comparing GPT Image 2 and GPT Image 1.5 on readable text,
  • or controlled side-by-side test results using the same prompts and settings.
• If you want, I can next help you design a fair prompt-based evaluation rubric for “readable text in images” so you can compare the models yourself.

Summary

No, this cannot be confirmed from the provided evidence. Official documentation supports only that GPT Image models improved text rendering versus DALL·E, not that GPT Image 2 outperforms GPT Image 1.5 specifically ^[4]. The only evidence pointing toward a major typography leap for “ChatGPT Images 2.0” is a single social-media post, which is not strong enough to establish the claim on its own ^[64].

People also ask

Continue your research

Sources

• [1] Has GPT Image 2 Launched? Facts vs Rumors | Mew Design Docsdocs.mew.design

  The first thing to keep in mind is that this comparison is not equally official on both sides. GPT Image 1.5 is documented by OpenAI. GPT Image 2 is not. So the left side of the comparison is based on official documentation, while the right side is based on repeated third-party observations and community testing patterns. OpenAI says GPT Image 1.5 improves instruction following, prompt adherence, text rendering, editing reliability, and preservation of branded logos and key visuals. It also positions GPT Image 1.5 as more useful for creative tools, ecommerce, and marketing work. That means th…

• [2] A Complete Guide to Precise AI Editing and Text Renderingatlascloud.ai

  Accuracy vs. Style The main difference between these tools is their goal. Banana Pro is known for its "stylistic look." It often picks bold colors and artistic lights over real shapes. On the other hand, GPT Image 1.5 is built for Precision Editing. This model is great at keeping things in place. When you change one item, the rest of the image stays locked and exactly the same. Let's try it out in practice: My prompt: Referencing image, maintain the identical composition, the pose of the female detective looking over her shoulder, and her expression. Perform a total, radical transformatio…

• [3] GPT Image 1.5 vs GPT Image 2 | What are the differences? | StackSharestackshare.io

  npx stackshare

  ## Detailed Comparison | GPT Image 1.5 GPT Image 1.5 | GPT Image 2 GPT Image 2 | --- | | Ranks #1 on LMArena. Generate & edit images 4x faster with the most precise AI photo editor. Better text rendering, exact edits, logo preservation. Try free! | Model turns text into crisp 4K visuals in seconds. Use the Open AI GPT Image 2 AI Free workspace to generate or edit photos online, powered by the GPT Image V2 engine for instant inspiration. | | AI image generation, AI photo editor, Inpainting, Outpainting, Object removal, Background removal, Text rendering, Logo preservation, Sty…

• [4] GPT Image 2 vs GPT Image 1.5: What Actually Changedgptimage2api.com

  Text rendering This is the headline. GPT Image 1.5 could render short words if you were careful. Six characters, one font, one line, one color. Past that, you got kerning soup, invented Unicode, or words that read right on first glance and wrong on second. GPT Image 2 is claimed at over 99 percent glyph accuracy for English, with CJK scripts also solid on Arena. If you believe the number, this is the first model where a paragraph of small-point text on a poster is trustworthy. Not "trust it enough to hide the typos in motion." Trust it at print resolution. If you ship UI mockups, infograph…

• [5] GPT Image 2: Why Text Rendering in AI Images Is the Real ...discuss.huggingface.co

  The Ceiling That Kept AI Images Out of Real Workflows Text inside images has been the most reliable failure mode of AI image generation. You could ask for a sign, a label, a dashboard, or a product package and get something that looked almost right — until you read it. Misspelled words, broken characters, inconsistent spacing. This wasn’t just an aesthetic problem. It was functional. It kept AI generation out of every workflow where text is the payload: GPT Image 2 appears to clear this bar. Community testing shows accurate rendering of multi-word labels, interface copy, signage, and packa…

• [6] GPT-Image-1.5 Guide: ChatGPT Images Benchmark Leaderdigitalapplied.com

  Precise Edit Control: Add, subtract, combine, and blend elements while preserving composition, lighting, and subject likeness across edits—ideal for iterative marketing asset development. Improved Text and Markdown Rendering: Dense text, markdown tables, and small typography now render more accurately, enabling direct generation of infographics, posters, and branded content with readable typography. 20% Cheaper Than GPT Image 1: Tiered API pricing from $0.009 (Low) to $0.133 (High) per 1024x1024 image offers cost flexibility for different quality requirements and production volumes. [...] The…

• [7] GPT-image-2 vs GPT-image-1.5: A Comprehensive Analysis of 8 Major ...help.apiyi.com

  The core differences span eight dimensions: text rendering (5 words → 99%), speed (8-18 seconds → 3 seconds), resolution (1536×1024 → 4096×4096), aspect ratios (new 16:9 support), realism (elimination of yellow tint), world knowledge (precise branding/UI), multilingual support (clear CJK/RTL), and UI reproduction (capable of mimicking realistic screenshots). While gpt-image-1.5 remains sufficient for short titles and standard aspect ratios, we recommend waiting for gpt-image-2 for commercial printing, localization, and UI-related tasks. [...] ### Upgrade Benchmarking Vs. Midjourney: Midjourne…

• [8] Imagen 2 vs GPT Image 1.5 vs Midjourneymindstudio.ai

  The iterative refinement capability adds another layer. If the succulent is too large, you can say “make the plant smaller” and the model will adjust it without recomposing the entire image. This conversational editing workflow is something neither Midjourney nor Imagen 2 handles as smoothly. Text rendering is GPT Image 1.5’s standout feature. It can accurately render multi-word text in images, including on signs, product labels, storefronts, and ad creatives. The text is legible, properly kerned, and positioned where you specify. This was a known weakness in earlier generative models and GPT…

• [9] OpenAI's ChatGPT Images 2.0 is here and it does multilingual text, full infographics, slides, maps, even manga — seemingly flawlessly | VentureBeatventurebeat.com

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• [10] The new ChatGPT Images is here - OpenAIopenai.com

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• [11] What We Know So Far About OpenAI's Next Image Model | ImagineArtimagine.art

  | Feature | GPT Image 1.5 (Current) | GPT Image 2 (Expected) | --- | Text rendering | Good but inconsistent, especially with longer text | Near-perfect accuracy (99%+), including CJK characters | | Color accuracy | Warm yellow tint on many outputs | Neutral, accurate color reproduction | | Max resolution | 1536×1024 | Native 4K expected (2048×2048 or higher) | | Character consistency | Inconsistent across multiple generations | Character locking across scenes expected | | Complex scenes | Occlusion and misplacement issues with multiple objects | Significant improvement in multi-layer composit…

• [12] What Will GPT Image 2 Be? Predictions Based on OpenAI's Trajectorywavespeed.ai

  What GPT Image 2 Will Likely Bring Based on OpenAI’s research papers, competitive pressure, and the gaps above, here are the most probable improvements: ### Native 4K resolution The jump from 1024 to 1536 in GPT Image 1.5 was conservative. With Midjourney at 2K and Flux pushing higher, GPT Image 2 will likely support at least 2048x2048 natively, with a premium tier at 4K. This removes the upscaling step from professional workflows. ### Universal text rendering Expect accurate text rendering across CJK, Arabic, Devanagari, and other scripts. OpenAI has been hiring heavily in internationaliz…

• [13] Text-to-Image Generators: Nano Banana Pro & GPT Image 1.5aimultiple.com

  The tools were evaluated in December 2025. Our benchmark consisted of 15 text-to-image prompts designed to evaluate real-world product reliability and deployment readiness of vision-language models. The prompts span a diverse set of failure-prone scenarios, including temporal and factual inconsistencies, physical and optical realism, text and symbol recognition, human activity and intent understanding, and multi-object scene coherence. [...] Performance decreases primarily in prompts that rely on precise physical or optical phenomena at small scales, such as refraction, magnification through…

• [14] Compare GPT Image 1.5 vs Flux 2 Pro for AI images - Picsartpicsart.com

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• [15] GPT Image 1.5 Review: Testing OpenAI's Latest ...cybernews.com

  GPT Image 1.5 is claimed to have a 4x faster generation speed than GPT Image 1. In my tests, it was slightly quicker than the older model but

• [16] I ran 5 capability tests and the text rendering genuinely shocked mereddit.com

  Result: "NEURAL NET v2.0" and "GPT IMAGE 2 ARCHITECTURE" both readable on the chalkboard. The period photography look is convincing too. My take

• [17] Nano Banana 2 vs GPT Image 1.5: Hype vs Control - Mediummedium.com

  The Test Setup. I compared: Nano Banana 2; GPT Image 1.5. Across: Hyper-realistic portrait generation; Product mockups; Text-in-image accuracy

• [18] GPT Image 2 vs GPT Image 1.5 : r/ChatGPT - Redditreddit.com

  All the text is super legible. I think GPT image 2 is a huge upgrade in terms of text readability, and a much better model than Nanobanana 2!

• [19] Paul Soltx.com

  Here's the difference in quality between: GPT Image 2 vs. Image 1.5. The old GPT model was not great with faces and was inconsistent when

• [20] GPT-Image-2 is out the model is insanely good at ...reddit.com

  GPT-Image-2 is out the model is insanely good at rendering text and generating all the tiny details in complex software interfaces.

• [21] I Tested GPT Image 1.5 So You Don't Have Toyoutube.com

  It's a really good model that can be used for a variety of different professional use cases and it's just a really big improvement.

• [22] Images and vision | OpenAI APIdevelopers.openai.com

  const openai = new OpenAI(); const response = await openai.responses.create({ model: "gpt-4.1-mini", input: [{ role: "user", content: [ { type: "input_text", text: "what's in this image?" }, { type: "input_image", image_url: " }, ], }], }); console.log(response.output_text);

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 from openai import OpenAI client = OpenAI() response = client.responses.create( model="gpt-4.1-mini", input=[{ "role": "user", "content": [ {"type": "input_text", "text": "what's in this image?"}, { "type": "input_image", "image_url": " }, ], }], ) [...] response = c…

• [23] GPT Image Generation Models Prompting Guide - OpenAI Developersdevelopers.openai.com

  The design should look like it belongs in a deck that actually raised money: highly readable text, clear data hierarchy, polished spacing, and professional startup-style visual language. Avoid clip art, stock photography, gradients, shadows, decorative elements, or anything that feels generic or overdesigned. """ result = client.images.generate( model="gpt-image-2", prompt=prompt, size="1536x864", quality="high", ) save_image(result, "market_opportunity_slide_gpt-image-2.png")

  Output Image:

  from IPython.display import Image, display display(Image(filename="../../images/output_images/m…

• [24] GPT Image-2 - Text to Image - docs.kie.aidocs.kie.ai
  • Flux-2 - Pro Image to Image - Flux-2 - Pro Text to Image - Flux-2 - Image to Image - Flux-2 - Text to Image + Grok Imagine - Grok Imagine - Text to Image - Grok Imagine - image to image + GPT Image - GPT Image-1.5 - Text to Image POST - GPT Image-1.5 - Image to Image POST - GPT Image-2 - Text to Image POST - GPT Image 2 - Image To Image POST + Topaz - Topaz - Image Upscale + Recraft - Recraft - Remove Background - Recraft - Crisp Upscale + Ideogram - Ideogram - V3 Reframe - Ideogram - Character Edit - Ideogram - Character Remix - Ideogram - Character - Ideogram V3 Text to Image - Ideogram V…
• [25] GPT Image 2 Documentationgpt-image-2.art

  GPT Image 2GPT Image 2 # GPT Image 2 Documentation ## What Is GPT Image 2? GPT Image 2 is a free AI image generator that creates stunning images from text prompts. Powered by OpenAI GPT-Image-2 technology, GPT Image 2 delivers fast, high-quality AI image generation with multiple art styles and resolutions. ## Quick Start 1. Visit gpt-image-2.art 2. Enter a text prompt describing your desired image 3. Choose your preferred style (realistic, anime, fantasy, etc.) 4. Click Generate and download your AI-generated image ## Core Features ### Text-to-Image Describe your vision and GPT Image 2 AI gen…

• [26] ChatGPT Images 2.0 | Text to Image | fal.aifal.ai

  ChatGPT Images 2.0 | Text to Image | fal.ai Chat GPT Images 2.0 is now on fal! 🚀 : $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Token cost is ceiled to the closest cent. ### Logs Show ### minimum, to 8,294,400 total pixel area maximum, with the maximum side length being 4000 pixels | | License | Commercial use via f…

• [27] ChatGPT Images 2.0: Features, Use Cases, and Impactdigitalapplied.com

  Low-Tier 1024² $0.211 High-Tier 1024² ## Key Takeaways Text Rendering Is the Headline Upgrade:Readable typography inside images — posters, infographics, editorial spreads — finally renders cleanly. This is the capability that moves AI image generation from ideation to asset production. Reasoning-Driven, Not Just Diffusion:Thinking mode integrates OpenAI's O-series reasoning so the model plans layout, searches the web, and synthesizes uploaded docs before rendering. Instant ships the base quality jump to every ChatGPT plan; Thinking is reserved for Plus and Pro, with a Pro-exclusive ImageGen P…

• [28] Extract information from documents with GPT | Microsoft Learnlearn.microsoft.com

  With advancements in AI-driven tools, you can define how to process documents or images in an end-to-end workflow by using simple natural language commands. By using the AI Builder prompt in Power Automate or Power Apps, you can easily set parameters for automatic document or image processing. Examples of parameters include key fields to extract, document categories, content summaries, and specific elements to detect within a document or image. With these capabilities, you can automate complex workflows without advanced technical skills. [...] ## Language availability Visit the Explore Featur…

• [29] GPT Image 2 | Image Generation and Editing APIreplicate.com

  Put text in quotes: For readable text in images, put the exact copy in “quotes” and describe the typography. “Bold sans-serif, centered, high contrast” helps ensure legibility. Iterate with small changes: Start with a base image, then make one adjustment at a time rather than rewriting everything. Reference multiple images clearly: When working with several input images, label them by number and describe how they relate. “Apply the style from image 1 to the subject in image 2.” ## Inputs

  prompt

  input_images

  aspect_ratio

  1:1

  3:2

  2:3

  quality

  low

  medium

  high

  auto

  `number_of…

• [30] How to Programmatically Extract Text from Images Using GPT-4 - API - OpenAI Developer Communitycommunity.openai.com

  Call the GPT-4o API with the base64 image and question call_gpt4o(client, base64_image, question, estimated_cost) if name == "main": main()` [...] Screenshot from 2024-09-22 05-59-14 Screenshot from 2024-09-22 05-59-142405×1481 119 KB Screenshot from 2024-09-22 05-59-14 I have no idea if GPT4 can read that - but it might be worth a shot. [...] input_folder = input("Enter the input folder path: ") image_files = [f for f in os.listdir(input_folder) if f.lower().endswith(('png', 'jpg', 'jpeg', 'gif', 'bmp'))] if not image_files: print("No image found in the input folder.") return image…

• [31] Introducing ChatGPT Images 2.0 - OpenAIopenai.com

  Image 2: Generated with ChatGPT Images 2.0, this modernist poster titled “Greater precision and control” uses bold typography, editorial text, and geometric shapes in black, red, and cream to illustrate improved image generation accuracy and control. Image 3: Generated with ChatGPT Images 2.0, this detailed desktop scene shows a macOS workspace filled with open apps and windows, with ChatGPT centered on screen generating ASCII art, surrounded by coding tools, notes, files, music controls, and productivity apps. [...] Image 29: Generated with ChatGPT Images 2.0, this anime-style character refe…

• [32] Introducing gpt-image-2 - available today in the API and Codex - Announcements - OpenAI Developer Communitycommunity.openai.com

  This release is built for production workflows, where images need to be accurate, readable, on-brand, localized, formatted for the destination surface, and usable without heavy cleanup. ### An Arena.AI leaderboard infographic titled "Text-to-Image Arena" shows OpenAI’s GPT-Image-2 ranked #1 with a score of 1,512 above other image generation models. (Captioned by AI)1620×1622 187 KB") ## and improved multilingual text rendering. Better control from prompt to final asset More reliable instruction-following, detail preservation, and composition—resulting in more usable outputs. Thinking mode for…

• [33] Our approach to text extraction with ChatGPT | Loomeryloomery.com

  ‍ # Expanding horizons: A diverse range of use cases Our exploration into text extraction is not just limited to PDFs and images. The methodologies we've developed at Loomery have broader applications, capable of deciphering a wide spectrum of sources, including the often challenging realm of handwritten documents. Let's illuminate some potential scenarios where our techniques could be transformative: ### Legal and financial document processing [...] Over the course of a 3-day investigation, we delved into the capabilities of GPT-4 with vision (GPT-4V) to extract text from PDFs and images. Ho…

• [34] What Is GPT Image 2? Everything We Know About OpenAI's Next ...mindstudio.ai

  Key Takeaways GPT Image 2 is OpenAI’s next image generation model, currently in A/B testing inside ChatGPT with no official release date confirmed. Its most notable improvement is near-perfect text rendering inside images — a long-standing weakness across all major AI image models. It also shows significant gains in UI/screenshot generation and overall photorealism. The model has been identified through API metadata and user-side output comparisons, not an official announcement. Once available via API, it will unlock new use cases in marketing automation, product visualization, and content…

• [35] ChatGPT Images 2.0 | State-of-the-Art Image Model live on fal - Fal.aifal.ai

  AI-generated product photograph with accurate brand labels and packaging text Product Photography ### Brand-Consistent Product Shots Generate product photography with accurate text on labels, logos, and packaging. GPT Image 2 maintains brand consistency across shots with readable ingredient lists, correct colour palettes, and precise logo reproduction. Ideal for e-commerce, catalogues, and marketing assets. Examples ## See what GPT Image 2can create Example prompts showcasing GPT Image 2's core strengths in text rendering, photorealism, and product photography. AI-generated scientific infogra…

• [36] document-extraction-gpt-text-and-vision.ipynb - GitHubgithub.com

  This sample demonstrates how to build a comprehensive process to extract structured data from any document using Azure AI Document Intelligence and Azure

• [37] Today we're introducing GPT Image 2, a new image model built for complex visual tasks and precise, usable outputs. It brings major gains in instruction following, dense text rendering, multilingual… | OpenAI for Business | 20 commentslinkedin.com

  Today we're introducing GPT Image 2, a new image model built for complex visual tasks and precise, usable outputs. It brings major gains in instruction following, dense text rendering, multilingual generation, and now lets you export in thousands of aspect ratios with up to 2K output. This makes it easier to build image workflows for real business use cases: localized advertising, infographics, explainers, educational content, design tools, creative platforms, and web creation products. Developers and businesses can bring these same capabilities into the products they’re building through the…

• [38] From Image to Data: Automating Text Extraction with OpenAI Apimedium.com

  In this project, we use OpenAI's model “gpt-4o”to automatically extract and classify information from images, such as drug labels, using OCR (Optical Character

• [39] The fact that Chat GPT 4 can just straioght up read text off ...reddit.com

  The text recognition itself isn't really better than what we've had with Google lens for years, but how it can re-analyse the way it's recognising the text

• [40] Using GPT for PDF & Image Data Extraction - Facebookfacebook.com

  Extract Data From PDFs & Images With GPT This template uses AI Builder's OCR for PDFs & Images to extract the text present in a file, replicates

• [41] Testing the text-to-image capability of GPT-Image-2 with a single ...reddit.com

  Testing the text-to-image capability of GPT-Image-2 with a single sentence. Use cases.

• [42] GPT PDF & Image Data Extraction (Power Automate) - YouTubeyoutube.com

  ... Images to extract the text present in a file, replicates the file in a text (txt) format, then passes it off to a GPT ... 16K views · 2 years ago.

• [43] OpenAI Vision API Tutorial: Turn Images Into Editable Text - YouTubeyoutube.com

  OpenAI GPT4 Vision API Tutorial: Python OCR App Dec 2025 Update In this video we are going to teach you how to setup and extract information

• [44] gpt-image-1 | NaviGator AIdocs.ai.it.ufl.edu

  gpt-image-1 ## Approved Data Classifications​ ## Description​ gpt-image-1 is a text‑to‑image model from OpenAI that turns your words into pictures in seconds. You get three options to choose from, Low for when you need a quick sketch, Medium for everyday visuals, and High when you want every pixel to pop. You can create images up to 1536×1024, whether it’s a thumbnail for your blog, a slide for your talk, or a colorful illustration for your next lesson. Just send a prompt through the simple API or the NaviGator Toolkit UI, and your idea springs to life without any fuss or hidden fees. ## Ca…

• [45] GPT Image 1 Model | OpenAI APIdevelopers.openai.com

  Cached input $2.50 Output $40.00 Image generation Per image Quality Low 1024x1024 $0.011 1024x1536 $0.016 1536x1024 $0.016 Image generation Per image Quality Medium 1024x1024 $0.042 1024x1536 $0.063 1536x1024 $0.063 Image generation Per image Quality High 1024x1024 $0.167 1024x1536 $0.25 1536x1024 $0.25 Modalities Text Input only Image Input and output Audio Not supported Video Not supported Endpoints Chat Completions v1/chat/completions Responses v1/responses Realtime v1/realtime Assistants v1/assistants Batch v1/batch Fine-tuning v1/fine-tuning Embeddings v1/embeddings Image generation v1/i…

• [46] gpt-image-1 | AI/ML API Documentationdocs.aimlapi.com

  hashtag Generate image

  openai/gpt-image-1

  The text prompt describing the content, style, or composition of the image to be generated. Allows to set transparency for the background of the generated image(s). When auto is used, the model will automatically determine the best background for the image. If transparent, the output format needs to support transparency, so it should be set to either png (default value) or webp.

  auto

  transparent

  opaque

  auto

  Control the content-moderation level for images.

  auto

  low

  auto

  The number of images to generate.

  1

  1

  The compression level…

• [47] Image generation | OpenAI APIdevelopers.openai.com

  Limitations GPT Image models (

  gpt-image-1.5

  ,

  gpt-image-1

  , and

  gpt-image-1-mini

  ) are powerful and versatile image generation models, but they still have some limitations to be aware of: Latency: Complex prompts may take up to 2 minutes to process. Text Rendering: Although significantly improved over the DALL·E series, the model can still struggle with precise text placement and clarity. Consistency: While capable of producing consistent imagery, the model may occasionally struggle to maintain visual consistency for recurring characters or brand elements across multiple generations. Co…

• [48] Models | OpenAI APIdevelopers.openai.com

  Models | OpenAI API Image 1: OpenAI Developers Home API Docs Guides and concepts for the OpenAI APIAPI reference Endpoints, parameters, and responses Codex Docs Guides, concepts, and product docs for CodexUse cases Example workflows and tasks teams hand to Codex ChatGPT Apps SDK Build apps to extend ChatGPTCommerce Build commerce flows in ChatGPT Resources Showcase Demo apps to get inspiredBlog Learnings and experiences from developersCookbook Notebook examples for building with OpenAI modelsLearn Docs, videos, and demo apps for building with OpenAICommunity Programs, meetups, and support f…

• [49] API Overview | OpenAI API Referencedevelopers.openai.com

  API Overview | OpenAI API Reference Skip to content Image 1: OpenAI Developers Home API Docs Guides and concepts for the OpenAI APIAPI reference Endpoints, parameters, and responses Codex Docs Guides, concepts, and product docs for CodexUse cases Example workflows and tasks teams hand to Codex ChatGPT Apps SDK Build apps to extend ChatGPTCommerce Build commerce flows in ChatGPT Resources Showcase Demo apps to get inspiredBlog Learnings and experiences from developersCookbook Notebook examples for building with OpenAI modelsLearn Docs, videos, and demo apps for building with OpenAICommunity…

• [50] OpenAI API Platform Documentationdevelopers.openai.com

  Start building Read and generate text Use the API to prompt a model and generate textUse a model's vision capabilities Allow models to see and analyze images in your applicationGenerate images as output Create images with GPT Image 1Build apps with audio Analyze, transcribe, and generate audio with API endpointsBuild agentic applications Use the API to build agents that use tools and computersAchieve complex tasks with reasoning Use reasoning models to carry out complex tasksGet structured data from models Use Structured Outputs to get model responses that adhere to a JSON schemaTailor to…

• [51] OpenAI GPT Image 1 - ComfyUI Native Node Documentation - ComfyUIdocs.comfy.org

  IO. STRING, { { "multiline": True, "multiline": True, "default": "", "default": "", "tooltip": "Text prompt for GPT Image 1", "tooltip": "Text prompt for GPT Image 1", }, }, ), ), }, }, "optional": { "optional": { "seed": ( "seed": ( IO.INT, IO. INT, { { "default": 0, "default": 0, "min": 0, "min": 0, "max": 231 - 1, "max": 2 31 - 1, "step": 1, "step": 1, "display": "number", "display": "number", "control_after_generate": True, "control_after_generate": True, "tooltip": "not implemented yet in backend", "tooltip": "not implemented yet in backend", }, }, ), ), "quality": ( "quality": ( IO.COMB…

• [52] new-api-docs/docs/en/api/openai-image.md at main · QuantumNous/new-api-docs · GitHubgithub.com

  📝 Introduction Given a text prompt and/or input image, the model will generate new images. OpenAI offers several powerful image generation models that can create, edit, and modify images based on natural language descriptions. Currently supported models include: | Model | Description | --- | | DALL·E Series | Includes two versions, DALL·E 2 and DALL·E 3, which differ significantly in image quality, creative expression, and accuracy | | GPT-Image-1 | OpenAI's latest image model, supporting multi-image editing features, capable of creating new composite images based on multiple input images…

• [53] Image Generation Policy Limits My Creative Freedomcommunity.openai.com

  Image Generation Policy Limits My Creative Freedom – Request for Clarification and Support - ChatGPT / Feature requests - OpenAI Developer Community Skip to last replySkip to top Skip to main content Image 1: OpenAI Developer Community Docs API Support Sign Up Log In ​ Topics More Resources Documentation API reference Help center Categories Announcements API Prompting Documentation Plugins / Actions builders All categories Tags chatgpt gpt-4 lost-user api assistants-api All tags Light mode ​ ​ Welcome to the OpenAI Developer Community, a forum for developers to meet and chat with other deve…

• [54] OCR using API for text extraction - API - OpenAI Developer Communitycommunity.openai.com

  Am I missing something? Am I missing something? First, why use GPT-4o-mini? They priced it so it is actually more expensive for images than the latest GPT-4o. Then, read the docs about internal image resizing. So if you want high-quality PDF, sending the documented way, you either would do wide slices of 1536x512 to pay for three tiles of high intelligibility, and then continue in future tasks with vertical overlaps with a “continue from”, or you would do your own custom slicing and overlaps at “low” to a destination of 512px wide. Something that is sent at 3000x4000 gets you 768x1024 seen. O…

• [55] OpenAI API for image text extraction - API - OpenAI Developer Communitycommunity.openai.com

  You can find more on the OpenAI GPT-4-Vision docs page… Hope this helps. Hi Guys, I upload .docx file than i retrieve with file id both endpoints working fine but when i try retrieve file content the response i am getting is: Note i upload file with purpose assistants

  { "error": { "message": "Not allowed to download files of purpose: assistants", "type": "invalid_request_error", "param": null, "code": null } }

  ### Related topics [...] ### Related topics | Topic | | Replies | Views | Activity | --- --- | Assistant API cant read my PDF.. How come? API api | 5 | 2740 | January 10, 2026 | | Una…

• [56] python - How do I extract data from a document using the OpenAI API? - Stack Overflowstackoverflow.com

  Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question. Closed 2 years ago. I want to extract key terms from rental agreements. To do this, I want to send the PDF of the contract to an AI service that must return some key terms in JSON format. What are some of the different libraries and companies that can do this? So far, I've explored the OpenAI API, but it isn't as straightforward as I would have imagined. When using the ChatGPT interface, it works very well, so I though…

• [57] [PDF] Improving Image Generation with Better Captions - OpenAIcdn.openai.com

  generating humans, products and places, concept blending, text rendering and artwork. [...] samples and code for these evaluations so that future research can continue optimizing this important aspect of text-to-image systems. [...] 2 Dataset Recaptioning Our text-to-image models are trained on a dataset composed of a large quantity of pairings (t, i) where i is an image and t is text that describes that image4. In large-scale datasets, t is generally derived from human authors who focus on simple descriptions the subject of the image and omit background details or common sense relationships…

• [58] Gpt-image-1.5 Images API returns text output tokens - APIcommunity.openai.com

  gpt-image-1

  output_tokens

  gpt-image-1.5

  I couldn’t find any documentation explaining this behavior in the official guides: Questions: What is the purpose of these text output tokens? Is this text output visible anywhere in the response, or is it internal only? Is there a way to disable this, or a parameter we can use to opt out? For high-volume image generation use cases, this adds additional cost that wasn’t present with

  gpt-image-1

  .

  gpt-image-1

  Thanks! I’m honestly not sure, but i can reply to a hypothesis on why it exists: on chatgpt you generate an image and the text tokens are…

• [59] Unveiling GPT-image-1: Rising to new heights with image generation in Azure AI Foundry | Microsoft Azure Blogazure.microsoft.com

  Granular instruction response: GPT-image-1 excels at understanding and executing detailed instructions, ensuring precise and accurate image generation. Text rendering: The model reliably renders text within images, enhancing its utility in creating educational materials and storybooks. Image input acceptance: Users can upload images and provide text prompts to generate new images or edit existing ones, offering a versatile tool for creative projects. ## GPT-image-1 capabilities GPT-image-1 supports multiple modalities and features: [...] GPT-image-1 supports multiple modalities and features:…

• [60] Extract Text from Images using Azure OpenAI GPT-4.1 | by Pritam Paul | Dev Geniusblog.devgenius.io

  Get Pritam Paul’s stories in your inbox Join Medium for free to get updates from this writer. GPT-4.1 supports image inputs, making it a powerful tool for tasks like: OCR (Optical Character Recognition) Understanding diagrams Reading labels, receipts, forms Translating or analyzing visual data Prerequisites Access to Azure OpenAI with a GPT-4.1 deployment that supports image input Python 3.8+ OpenAI SDK (

  pip install openai

  ) A sample image (

  .jpg

  or

  .png

  ) with readable text The Code [...]

  [...]

• [61] Image GPT - OpenAIopenai.com

  We train GPT-2 on images unrolled into long sequences of pixels, which we call iGPT, we find that the model appears to understand 2-D image characteristics.

• [62] How to extract text from images using API?community.openai.com

  I am creating a project, where I want to be able to extract data from invoices as images. Now, I am stuck at extracting text from a photo.

• [63] Question about OpenAI's new Image-to-Image capabilities (gpt ...reddit.com

  I'm trying to get clarity on OpenAI's new image generation API (gpt-image-1), specifically regarding image-to-image capabilities.

• [64] ChatGPT Image Generation 1.5: Full Guide (2026) - Arahi AIarahi.ai

  •GPT Image 1.5 launched December 16, 2025 with 4x faster generation speed, preserves original image elements during edits (no more complete re-renders), and delivers significantly better text rendering—denser, smaller, more accurate characters that make AI-generated marketing materials and infographics actually usable for professional workflows. •New dedicated Images section in ChatGPT sidebar includes preset filters, trending prompts, automatic image library, and editing screens that transform ChatGPT from chatbot into creative studio—addressing the three biggest barriers to business adoptio…

• [65] ChatGPT Images 2.0: Create Realistic Graphics Easily - Office Watchoffice-watch.com

  We took the koala image above and asked for a Widescreen 16:9 version. ## Better Text Rendering, Including Non-Latin Scripts The new model is also designed to handle fine-grained elements that previous image models consistently struggled with; small text, iconography, UI elements, dense compositions, and subtle stylistic instructions. For anyone who has tried to get an AI image generator to put readable text on a banner or infographic, this is significant. The model handles text in general, and especially in non-Latin scripts, significantly better. Specific fonts can’t be chosen but you can a…

• [66] ChatGPT’s Images 2.0 improves text rendering, marks shift in AI image generation - Storyboard18storyboard18.com

  OpenAI stated in a release that Images 2.0 delivers a higher level of precision and fidelity in image creation, enabling it to produce more detailed visuals while maintaining instruction accuracy. The company stated that the model can better render elements that have traditionally posed challenges, including small text, iconography, user interface components, dense compositions and subtle stylistic requirements, at resolutions of up to 2K. While these enhancements mean that generating complex visuals may take longer than standard text-based queries, the system is still capable of producing ou…

• [67] GPT Image 1.5 Guide - EvoLink.AIevolink.ai

  3. Superior Text Rendering Earlier AI image models treated text as decorative shapes rather than readable information. GPT Image 1.5 implements improved OCR-aware generation that produces: Legible text at smaller point sizes Correct spelling in common languages Proper text alignment and kerning Appropriate font weight and style matching Readable text in complex layouts (infographics, magazine covers, product labels) Important limitation: Text rendering remains most reliable for Latin characters and common English words. Complex typography, handwritten styles, or non-Latin scripts may stil…

• [68] Gpt-image-1.5 decreased image render quality? - API - OpenAI Developer Communitycommunity.openai.com

  jan_17_render_innacurate_coffeetable_remotecontrols jan_17_render_innacurate_coffeetable_remotecontrols1121×756 207 KB jan_17_render_innacurate_coffeetable_remotecontrols GPT SCREENSHOT image image1392×848 70.7 KB image Real answer, not from AI: this topic is in the wrong category. ChatGPT is a consumer product. OpenAI doesn’t name “gpt-image-1.5” there. You get the “make pictures with ChatGPT” with whatever facility OpenAI wants to deliver. So that means: ChatGPT a consumer product? haha Are you pointlessly asking ChatGPT? That’s what your screenshot shows. Is ChatGPT where you are aski…

• [69] GPT-Image-1.5 rolling out in the API and ChatGPT - Communitycommunity.openai.com

  Community chatgpt, api, image-generation, announcement, models You have selected 0 posts. select all cancel selecting Dec 2025 1 / 46 Dec 2025 Jan 2 ## post by vb on Dec 16, 2025 Image 2 vb Leader Image 3: potato 4 Dec 2025 Announcement from OpenAI Developers Image 4: G8Tzp46a4AElG-t G8Tzp46a4AElG-t 1469×730 204 KB GPT Image 1.5 is now available in the API: More precise image editing and preservation of logos & faces Better instruction following and adherence to prompts Improved text rendering, particularly for denser and smaller text Learn more in the docs: Updated prompt guide for imagegen-…

• [70] GPT-Image-1.5: The Enterprise-Grade AI Visual Toolkit for Precision Editing and Professional Workflows — AI/ML API Blog 🔥aimlapi.com

  Challenges, Limitations, and Future Trajectory ‍Despite its advancements, GPT-Image-1.5 is not without limitations. Imperfections in fine details are visible under close inspection. Challenges persist in areas requiring exact visual logic, such as intricate mechanical diagrams, perfectly rendered clocks, and complex multilingual typography. Certain highly specialized artistic or scientific depictions may still require extensive prompting and iteration. [...] The release signals a strategic focus by OpenAI on delivering enterprise-grade stability and control, catering to users whose needs e…

• [71] How GPT Image 1.5 Fixed AI Art’s Major Problem | SuperMaker AIsupermaker.ai

  | Feature | GPT Image 1.5 | Midjourney v6.x | Gemini 3 | --- --- | | Text Rendering | Flawless. Handles long phrases easily. | Good for short words; fails on long text. | Often "hallucinates" or misses letters. | | Editing Workflow | Conversational. Just talk to change parts. | Complex. Requires manual "Vary Region." | Intuitive, but lacks deep reasoning. | | Character Consistency | Built-in. Maintains likeness via memory. | Difficult. Requires complex

  --cref

  hacks. | Moderate. Improving but still inconsistent. | | Iteration Speed | Near-Instant. 4x faster than before. | Slow. Requires wait…

• [72] Improving Text Generation in Imagescommunity.openai.com

  polepole-1 polepole-2 ### Related topics | Topic | | Replies | Views | Activity | --- --- | How do I prompt Dall-E to include specific sentences in image creation and not misspell the words and sentences provided? Prompting dalle3 | 17 | 3193 | April 2, 2025 | | Spelling mistakes in Dalle-3 generated images API gpt-4 , dall-e-3 , dalle3 | 15 | 12173 | July 31, 2024 | | Can Dall-E3 not add text already? API dalle3 | 6 | 231 | April 18, 2025 | | Using Dalle to create backgrounds for social publications Prompting chatgpt , dalle3 | 4 | 838 | March 3, 2025 | | Dall-E is sooo bad at recognizing le…

• [73] What Is GPT Image 1.5? OpenAI's Latest and Most ...mindstudio.ai

  The model works through ChatGPT’s interface and is available via API for developers. It can create images in three sizes: 1024×1024 (square), 1024×1536 (portrait), and 1536×1024 (landscape). Generation takes 15 to 45 seconds depending on complexity and quality settings. OpenAI designed GPT Image 1.5 to address specific problems with earlier image generators. Previous models often misunderstood instructions or changed the entire image when you asked for small edits. They struggled with text rendering and would drift from your original intent. GPT Image 1.5 fixes these issues through better ins…

• [74] April 2026 — ChatGPT / API Image Gallery, Prompt Tips, and Help: Generative Art Theme: Spring / New Beginnings - Community - OpenAI Developer Communitycommunity.openai.com
  1. Do not repost the same image repeatedly. 2. Only post images generated with OpenAI models. 3. Political content should be avoided; NSFW-LITE content needs to be gated using the hide details function found under the + button in your reply box. 4. Please keep the number of images in a single post limited. (1 to 4 is optimal)?? 5. Do not post video links. 6. Do not post website links unless they are OpenAI links. 7. PLEASE include your prompt in a spoiler and let us know if you want help or are just sharing with the community. Tips and tricks tree will go here Gpt-image-1.5 Prompting Guide…
• [75] ChatGPT Images 2.0: A Guide to OpenAI's Next-Gen Image Modeldatacamp.com

  Both are decent choices when it comes to in-image text rendering, stylistic range, and conversational editing. ## Final Thoughts The “visual thought partner” framing holds up – but only with thinking mode on. Without it, the model struggles with spatial logic and photorealism; with it, it turns ambiguous inputs into outputs that feel collaborative rather than mechanical. Two areas in which the model shines even without thinking mode are the stylistic authenticity and aspect ratio flexibility. Web search grounding feels like the biggest upgrade over Images 1.5. In the Boston Marathon test, we…

• [76] GPT Image 1.5 by OpenAI is on Higgsfield: A Complete Guidehiggsfield.ai

  GPT Image 1.5 by OpenAI is on Higgsfield: A Complete Guide ## 3. Output Quality & Technical Specs Hazelnut is intentionally optimized for moderate yet sharp output quality. ## Image Generation Up to 1.5K resolution Selectable rendering quality: Low (fast previews) Medium (standard use) High (final output) ## Supported Aspect Ratios 1:1 – square compositions 2:3 – portrait layouts, diagrams, infographics 3:2 – horizontal formats These ratios provide the right balance of flexibility across technical and visual tasks. ## 4. Key Use Cases for GPT Image 1.5 OpenAI's latest model's strengths shine…

• [77] ChatGPT’s new Images 2.0 model is surprisingly good at generating texttechcrunch.com

  “Images 2.0 brings an unprecedented level of specificity and fidelity to image creation. It can not only conceptualize more sophisticated images, but it actually brings that vision to life effectively, able to follow instructions, preserve requested details, and render the fine-grained elements that often break image models: small text, iconography, UI elements, dense compositions, and subtle stylistic constraints, all at up to 2K resolution,” OpenAI said in a press release. These capabilities mean that image generation isn’t as rapid as typing a question to ChatGPT, but generating something c…

• [78] David Borish on X: "OpenAI just launched ChatGPT Images 2.0, and the most significant number isn't the resolution or the speed. It's 99% typography accuracy, a figure that, if it holds in production, transforms AI image generation from a creative toy into something closer to a commercial design" / Xx.com

  Show more Terms of Service | Privacy Policy | Cookie Policy | Accessibility | Ads info | More © 2026 X Corp. [...] # David Borish on X: "OpenAI just launched ChatGPT Images 2.0, and the most significant number isn't the resolution or the speed. It's 99% typography accuracy, a figure that, if it holds in production, transforms AI image generation from a creative toy into something closer to a commercial design" / X Don’t miss what’s happening People on X are the first to know. Log in Sign up # | 25 Yrs in Tech | NYU Lecturer & AI Mentor | Author of The Open-Prem Inflection Point | Writer at Th…

• [79] GPT Image 1.5: Feature, Comparison and Accessmedium.com

  Two operational details to remember: GPT Image 1.5 renders images up to four times faster than its predecessor and that image inputs/outputs are

• [80] Has anyone else had success with GPT rendering images ...facebook.com

  Created a decodable text with some images using ChatGPT, has anyone done this? ... Limitations of chat gpt for photo realistic rendering. Alexia

• [81] [D] Why do image generation models struggle with ...reddit.com

  Fixed size vectors are extremely lossy and destroy information, particularly for tasks that involve text: most image captions do not describe,

• [82] GPT-Image-1.5 can't generate long and complex ...reddit.com

  Modern image generate images step by step, like LLMs, similar to how text is generated one token at a time, they also generate tokens but a

• [83] BREAKING: OpenAI releases "GPT-Image-1.5" (ChatGPT ... - Redditreddit.com

  The image generation war just heated up again. OpenAI has officially dropped GPT-Image-1.5 and it has already dethroned Google on the

• [84] Testing ChatGPT Image 1.5's crazy capabilities (full review)youtube.com

  In this episode, I test-drive OpenAI's brand new image model inside ChatGPT and share my first impressions. I walk through how to access it,