Text was the last hard problem in image generation, and it is still the one that separates tools most clearly. A model can render convincing skin and fail completely at five letters on a shop sign.
Ideogram 3 is currently the leading option when words must be legible. That said, a generated mark is a starting point. The difference between a concept and a brand identity is the whole of this article's second half.
Key takeaways
- Ideogram 3 leads for readable text: posters, signage, thumbnails and logo concepts.
- Keep copy short, quote it exactly, and state where it sits in the frame.
- AI logo output is ideation. Final marks need vector construction and variants.
- AI-generated logo concepts are not automatically trademark-safe or production-ready.
- For social graphics with headlines, generate a clean background and typeset over it.
Why text in images is hard
Everything else in an image can be approximately right. Letterforms cannot. A slightly odd brick pattern is invisible; a slightly odd letter "g" is the first thing anyone sees.
Models also have to hold spelling, letter spacing, baseline alignment and perspective together at once. Small errors that vanish elsewhere accumulate visibly in type.
That is why tools specifically tuned for text outperform general models here by a wide margin, regardless of their overall image quality.
Ideogram 3 for text and signage
Ideogram 3 renders short strings correctly far more often than general-purpose models, which makes it the practical first choice for posters, packaging mock-ups, shopfront signage, thumbnails and social graphics.
Prompt it as a layout brief. Quote the copy, describe the letterform style, state the position, and explicitly forbid extra text so the model does not invent additional signage.
A minimal event poster. The words "Night Market" in a bold condensed sans across the upper third, and "Fridays from six" in small caps at the base. Deep indigo background, single lantern illustration centred, generous margins, print layout, no other text.
Two strings, both quoted and placed, plus a prohibition on additional text.
A small bakery shopfront in the early morning. A hand-painted sign above the window reads "Flour and Salt" in a warm cream serif on deep green. Wet pavement, soft dawn light, 35mm photograph, no other text or signage anywhere in the frame.
Naming the colours of the lettering improves legibility as much as naming the typeface style.
Logo concepts versus finished marks
AI is genuinely useful for logo ideation. In twenty minutes you can see thirty directions, which would take a designer days to sketch. That is a real gain.
What it does not produce is a logo. A usable mark is a vector file with considered spacing, optical corrections, a monochrome variant, a small-size variant, and behaviour rules for how it sits with other elements.
Treat the generated image as a mood board entry. Then rebuild the direction properly in vector software, or hand it to a designer as a brief.
Six simple logo concepts for an independent bookbindery, flat vector style on a plain white background, single colour, geometric marks referencing thread, paper folds and a needle. No text, no gradients, clean silhouettes, generous white space around each mark.
Asking for concepts without text keeps the focus on the mark and avoids garbled wordmarks.
Typography limitations
Expect four recurring problems: invented letterforms, inconsistent spacing, wrong character counts in longer words, and typography that cannot scale down cleanly.
The mitigations are practical. Keep strings under about four words. Prefer familiar styles — condensed sans, geometric sans, high-contrast serif — over exotic descriptions. Generate several options rather than iterating on one.
| Tool | Short strings | Longer copy | Best for |
|---|---|---|---|
| Ideogram 3 | Leading | Moderate | Posters, signage, thumbnails, logo concepts |
| GPT Image 2 | Strong | Limited | Simple headlines and labels in context |
| Adobe Firefly 5 | Good | Limited | Commercial layouts inside Adobe apps |
| Midjourney | Weak | Weak | Artwork to be typeset separately |
| Leonardo AI | Moderate | Limited | Asset art with minimal lettering |
| Design tools (Canva-style) | Exact | Exact | Final typesetting over generated art |
Model availability, product features, pricing, and usage terms can change. Check the official product page before making a purchasing decision.
Alternatives worth knowing
GPT Image 2 is the strongest general-purpose second choice for short text, and its conversational correction loop makes fixing a misspelled word straightforward.
Adobe Firefly 5 fits teams already working in Adobe applications, where generated art can be combined with real type immediately. Midjourney remains the best source of the artwork itself when type will be added later.
A sensible production workflow
Generate the imagery without text. Export it. Set the type in a design tool with a real typeface you have a licence for. This gives exact spelling, exact spacing and a file you can revise.
Explore IdeogramUse text-in-image generation for concepts, comps and social posts where speed matters more than typographic precision. Use real typesetting for anything a client signs off.
Legal and trademark note
AI-generated logo concepts should not be treated as automatically trademark-safe or production-ready without a proper design and legal review. Similar marks may already exist, and rights in AI output vary by jurisdiction and by the terms of the tool used. Commission a trademark search before adopting any mark commercially.
Where legal review begins
Any mark you intend to use in trade should be cleared. That means a search for confusingly similar marks in your classes and territories, and advice on registrability.
Also confirm what rights the tool's terms grant you in its output, and whether your plan permits commercial use. These differ between products and change over time.
Frequently asked questions
Which AI tool is best for text inside images?
Ideogram 3 is currently the leading option for readable text in images, including posters, signage and thumbnails. GPT Image 2 handles short strings well as a second choice.
Can I use an AI-generated logo for my business?
Treat AI output as a concept, not a finished mark. AI-generated logo concepts should not be treated as automatically trademark-safe or production-ready without a proper design and legal review.
Why is text so difficult for image models?
Letterforms must be exactly correct rather than merely plausible. A slightly wrong texture is invisible; a slightly wrong letter is glaring, so text exposes small errors that other content hides.
Do I still need a designer?
For a real brand identity, yes. AI is excellent for exploring directions quickly, but a usable mark needs vector construction, spacing, scalability, variants and legal clearance.
How do I get the most accurate text from a generator?
Keep copy short, quote it exactly, state where it sits, describe the letterform style, and forbid additional text. Generate several options and expect to re-typeset for final use.
Return to the pillar guide for the full comparison: nine tools across realism, text, editing, speed, commercial safety and cost.
Continue the series
The other chapters in the AI Image Tools comparison guide.