text-in-image

Generates correctly spelled text in AI images via reserve-and-overlay or constrained bake-in prompting.

5|2|Updated Jul 12, 2026
One-click install
npx skills add https://github.com/LongLeo287/seosona-flow --skill text-in-image-longleo287
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: text-in-image
Source: https://github.com/LongLeo287/seosona-flow/tree/main/.claude/skills/text-in-image
Command: npx skills add https://github.com/LongLeo287/seosona-flow --skill text-in-image-longleo287

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI image models cannot proofread the text they draw, so generated posters, banners, thumbnails, and logos often contain misspelled words, broken diacritics, or garbled line breaks. This Skill eliminates text corruption by choosing between a deterministic overlay approach and a tightly constrained bake-in approach. ## Core Features & Use Cases - Reserve → Overlay mode: Prompts the model to render a flat, text-free region, then overlays real vector text with fonts like Be Vietnam Pro using the Text Overlay tool or the text_overlay workflow node. - Safe bake-in mode: Constrains prompts to short, uppercase, accent-free strings (≤3 words, one line) when overlay is not possible, with multi-variant generation and selection. - Verification workflow: Compares rendered text against the target string using image-qa / TextIntegrity checks instead of trusting visual inspection. - Use Case: You need a Vietnamese sale banner with accented text. Use Mode A to generate the banner background with a reserved blank area, overlay the exact copy, and verify it — changing the text later only requires re-rendering the overlay, not regenerating the image. ## Quick Start Ask the assistant to create a poster with correctly spelled Vietnamese text using the reserve-and-overlay method and verify the result against the target string.

Frequently Asked Questions about text-in-image

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get correct text in AI-generated images?▼

Use the reserve-and-overlay method: prompt the model to render a flat empty region with no text, then overlay the real text with a font using the Text Overlay tool or text_overlay workflow node. This guarantees correct spelling, diacritics, and line breaks.

Why does AI image generation produce garbled or misspelled text?▼

Image models do not proofread the text they draw, so letters, diacritics, and line breaks frequently come out wrong, especially for Vietnamese accents. The fix is to let the model decide content and position while deterministic code renders the actual glyphs.

When should I use bake-in text instead of overlay?▼

Use bake-in only when overlay is impossible and the text is at most 3 words or about 12 characters on a single line. Keep it uppercase, Latin, and accent-free, quote the exact string in the prompt, and generate multiple variants to pick a correct one.

Can AI image models render Vietnamese text with diacritics correctly?▼

No, accented characters like â, ế, and ữ are among the most likely to be corrupted by image models. For Vietnamese text, the reserve-and-overlay mode is mandatory, rendering the text with a proper font such as Be Vietnam Pro.

How do I fix an AI image where the text came out wrong?▼

Switch to the reserve-and-overlay mode instead of regenerating and hoping for better luck. Regenerate the image with a reserved blank text area, overlay the correct string, and verify it with image-qa or TextIntegrity comparison.