Ideogram
AI image generation that actually spells words correctly
An AI image generator built around accurate in-image text rendering, alongside strong logo, poster and typography work that most diffusion models still struggle to get legible.
Picked for Generative Visuals for Creative Studios.
Ideogram built its reputation on solving a problem most image generators still fumble: putting real, legible words inside a picture. Ask for a poster with a specific headline or a logo with a wordmark, and Ideogram is far more likely than a generic diffusion model to spell it correctly and set it with something resembling real typography.
That focus makes it a natural fit for designers and marketers who need text-bearing visuals — posters, packaging mockups, social graphics, early logo concepts — rather than pure photorealistic art. Magic Prompt helps non-designers get better results from short prompts, and the Canvas workspace lets a generation be extended or remixed rather than treated as a one-shot output.
Outside of text rendering, Ideogram is a strong generalist but not a category leader — photorealism and fine detail on faces or hands still trail specialists like Midjourney, and the free tier’s public gallery means anything generated there isn’t private. Commercial rights also depend on which plan you’re on, so it’s worth checking before shipping output in a client project.
Features
Legible in-image text
Renders readable words, logos and slogans inside a generated image, an area where most diffusion models produce garbled text.
Magic Prompt
Automatically expands a short, plain prompt into a richer one to improve composition and detail before generating.
Style references and remixing
Upload a reference image to match its style, or remix an existing generation while keeping its composition.
Canvas
An infinite-canvas workspace for arranging, extending and combining multiple generations into a single composite.
Editing and inpainting
Repaint a selected region rather than rerolling the whole image, which is the difference between fixing a poster and starting it again.
Upscaling
Takes a chosen generation up to print resolution without the detail smearing that a generic upscaler leaves on type.
Use cases
- Designing posters, packaging or social graphics that need real readable text
- Generating logo concepts and wordmarks for early-stage branding
- Producing marketing visuals with a specific slogan baked into the image
- Exploring style variations of an existing piece of artwork
- Fixing one element of an otherwise finished image without regenerating it
- Producing a set of ad variants that each carry different headline text
Compare Ideogram head to head
Side-by-side comparisons, on pricing, platforms and where each one wins.
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