How to Generate Accurate Text in Images With ChatGPT Images 2.0
ChatGPT Images 2.0 is OpenAI’s October 2026 image model, included in ChatGPT Plus at $20/month, and it renders text inside images accurately enough for posters and slide graphics. That single improvement changes what the model is useful for.
Older image models turned any requested text into gibberish. This one gets spelling right most of the time, which means you can design with words in the picture.
What Changed in Images 2.0?
The headline is typography. Where version 1 mangled words, Images 2.0 handles short strings — headlines, product names, labels — reliably. It also improves instruction following for layout: asking for a centered headline with a subtitle now actually centers them.
It supports 1024×1024, 1536×1024, and 1024×1536 outputs, plus transparent-background PNGs on paid tiers.
How Do You Access It?
Three routes: ChatGPT directly (Plus, Pro, Team), the OpenAI API via the images endpoint, and the Sora/DALL-E lineage apps. API pricing is per image, roughly $0.04 for standard 1024×1024 and more for higher resolution.
ChatGPT Plus users get a generous daily image allowance baked into the subscription.
How Do You Prompt for Text in Images?
Quote the exact text and describe placement. Ambiguous text requests get paraphrased or misspelled.
A minimalist coffee shop poster. Headline text in bold serif: "MORNING BREW".
Subtext: "Open daily 7-11am". Warm cream background, single espresso cup, lots of white space.Three rules from testing: keep text under eight words, quote it verbatim, and specify the font style (serif, sans-serif, hand-drawn). Long sentences still break.
How Accurate Is the Text?
Short strings fare well. In our tests, 4-6 word headlines came out correctly about 90% of the time. Ten-word sentences dropped to roughly 60%. Numbers and proper nouns are the most error-prone — always proofread product names.
Non-Latin scripts (Chinese, Arabic) improved but remain less reliable than English.
What Is It Good For?
| Use case | Verdict |
|---|---|
| Social media graphics | Good |
| Posters with short headlines | Good |
| Slide visuals | Usable |
| Dense infographics | Still poor |
| Print-ready logos | Not reliable |
It shines for fast marketing drafts you’ll tidy in an editor. It’s not a replacement for a designer when precision matters.
Where Does It Still Fail?
Dense text — infographics, menus, paragraphs — degrades fast. Logos need vector precision the model can’t deliver; treat outputs as concepts, not files. And the model still struggles with exact brand colors; match those in post.
One more limitation: consistency across a set. Generate ten images with the same character and the face drifts. For a coherent campaign, use the character reference feature where available.
Who Should Use It
Marketers, social media managers, and small-business owners making their own graphics. Designers can use it for moodboards and quick comps. Anyone needing print-quality, vector-clean collateral should still hand off to a human.
Quick Summary
- ChatGPT Images 2.0 renders legible text, fixing the biggest flaw of version 1.
- It’s included in ChatGPT Plus at $20/month; API is ~$0.04 per image.
- Quote exact text, keep it under 8 words, and specify the font style.
- 4-6 word headlines are ~90% accurate; long sentences drop to ~60%.
- Great for social graphics; not ready for print-ready logos or dense infographics.
