We read every Ideogram prompt guide so you don't have to.
Paste your prompt below - we'll rewrite it using Ideogram's official best practices.
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- Built on Ideogram's official prompting guide
- Handles in_image_text, magic_prompt, layerize_text, design_categories automatically
- Free, instant, no signup
What Ideogram actually rewards
We pulled this from Ideogram's official guidance and what works in production. The short version:
- →Quote literal text.
- →Specify typography style ('bold sans-serif', 'elegant script') — not specific font names.
- →Keep text <=6 words for highest accuracy.
- →Use design categories (Poster, Logo, Book Cover).
- →Use Layerize Text for editable layers.
Before you hit send, check:
- ☐Quote literal text?
- ☐Did you specify typography style ('bold sans-serif', 'elegant script') — not specific font names?
- ☐Keep text <=6 words for highest accuracy?
- ☐Did you use design categories (Poster, Logo, Book Cover)?
- ☐Did you use Layerize Text for editable layers?
Common mistakes we fix automatically
- AvoidDon't use negative phrasing ('no people').
- AvoidUse Latin script for best text accuracy.
Ready to rewrite for Ideogram?
Frequently asked questions
- Which versions of Ideogram does this support?
- We support v1.0, v2.0, v2a, v3.0. We apply the prompt patterns Ideogram recommends for each, so the rewrite is tuned to the version you're using.
- Is my prompt stored or used for training?
- No. Prompts are sent to the rewriter, scored, returned, and discarded. We don't train on them and we don't keep them around.
- Do I need to know prompt engineering to use this?
- Nope. That's the point. Paste what you have, click Rewrite, get back a version that follows Ideogram's official guidance.
- What makes this different from Ideogram's own "improve prompt" feature?
- Built-in optimizers use the model's own preferences. Ours is built on Ideogram's official documentation and patterns that consistently produce better results in production. We keep rewrites inside the length window Ideogram responds best to.
Optimizing for a different AI?