REPOGEO REPORT · LITE

songweige/rich-text-to-image

Default branch main · commit 034e1e97 · scanned 5/31/2026, 9:58:10 AM

GitHub: 801 stars · 68 forks

AI VISIBILITY SCORE

33 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface songweige/rich-text-to-image, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Clarify unique value proposition in README's opening

Why:

CURRENT

tl;dr: We use various formatting information from rich text, including font size, color, style, and footnote, to increase control of text-to-image generation. Our method enables explicit token reweighting, precise color rendering, local style control, and detailed region synthesis.

COPY-PASTE FIX

tl;dr: Rich-Text-to-Image introduces a novel approach to text-to-image generation, leveraging detailed formatting from rich text (font size, color, style, footnotes) to provide unprecedented, fine-grained control over diffusion models. This goes beyond the capabilities of standard text-to-image prompts or general image rendering tools, enabling explicit token reweighting, precise color rendering, local style control, and detailed region synthesis.

hightopics#2

Add more specific topics to improve categorization

Why:

CURRENT

computer-vision, diffusion-models, pytorch, rich-text, text-to-image-generation

COPY-PASTE FIX

computer-vision, diffusion-models, pytorch, rich-text, text-to-image-generation, styled-text-to-image, image-generation-control, text-formatting-to-image

mediumabout#3

Enhance repository description for clarity and differentiation

Why:

CURRENT

Rich-Text-to-Image Generation

COPY-PASTE FIX

Achieve fine-grained control in text-to-image generation by leveraging rich text formatting (font size, color, style) with diffusion models.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface songweige/rich-text-to-image

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

python-pillow/Pillow

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

python-pillow/Pillow · recommended 1×
ImageMagick/ImageMagick · recommended 1×
opencv/opencv · recommended 1×
Canva · recommended 1×
Adobe Photoshop · recommended 1×

CATEGORY QUERY
How to generate images from text with specific formatting like font color and size?
you: not recommended
AI recommended (in order):
1. Pillow (python-pillow/Pillow)
2. ImageMagick (ImageMagick/ImageMagick)
3. OpenCV (opencv/opencv)
4. Canva
5. Adobe Photoshop
6. GIMP
7. Puppeteer (puppeteer/puppeteer)
8. Playwright (microsoft/playwright)
AI recommended 8 alternatives but never named songweige/rich-text-to-image. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a PyTorch library to create images from styled text descriptions.
you: not recommended
AI recommended (in order):
1. Diffusers
2. Kandinsky
3. DALL-E mini / Craiyon
4. VQGAN+CLIP
5. latent-diffusion
AI recommended 5 alternatives but never named songweige/rich-text-to-image. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of songweige/rich-text-to-image?
pass
AI named songweige/rich-text-to-image explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts songweige/rich-text-to-image in production, what risks or prerequisites should they evaluate first?
pass
AI named songweige/rich-text-to-image explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo songweige/rich-text-to-image solve, and who is the primary audience?
pass
AI did not name songweige/rich-text-to-image — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of songweige/rich-text-to-image. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/songweige/rich-text-to-image.svg)](https://repogeo.com/en/r/songweige/rich-text-to-image)

HTML

<a href="https://repogeo.com/en/r/songweige/rich-text-to-image"><img src="https://repogeo.com/badge/songweige/rich-text-to-image.svg" alt="RepoGEO" /></a>

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songweige/rich-text-to-image — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite