RRepoGEO

REPOGEO REPORT · LITE

robertknight/ocrs

Default branch main · commit 459cced0 · scanned 6/22/2026, 1:43:12 PM

GitHub: 1,842 stars · 86 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 robertknight/ocrs, 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
    Reposition the README's opening to clarify core differentiators

    Why:

    CURRENT
    # Ocrs

**ocrs** is a Rust library and CLI tool for extracting text from images, also known as OCR (Optical Character Recognition).
    COPY-PASTE FIX
    # Ocrs

**ocrs** is a modern, open-source Rust library and CLI tool for Optical Character Recognition (OCR), designed as a self-hostable, machine learning-powered alternative to traditional engines like Tesseract and commercial cloud APIs.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a URL to a dedicated project website, documentation, or demo page.
  • lowreadme#3
    Add a 'Roadmap and Future Plans' section to the README

    Why:

    COPY-PASTE FIX
    ## Roadmap and Future Plans

- **Multi-language support:** Expand OCR capabilities beyond the Latin alphabet to include other languages.
- *[Add other planned features here, e.g., improved accuracy, new model architectures, specific platform support, etc.]*

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 robertknight/ocrs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Vision API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Vision API · recommended 1×
  2. Amazon Textract · recommended 1×
  • CATEGORY QUERY
    How to extract text from images using a Rust library?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What are modern alternatives for optical character recognition with minimal image preprocessing?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision API
    2. Amazon Textract

    AI recommended 2 alternatives but never named robertknight/ocrs. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 robertknight/ocrs?
    pass
    AI did not name robertknight/ocrs — 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?

  • If a team adopts robertknight/ocrs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named robertknight/ocrs 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 robertknight/ocrs solve, and who is the primary audience?
    pass
    AI named robertknight/ocrs explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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robertknight/ocrs — 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