RRepoGEO

REPOGEO REPORT · LITE

tejas-raskar/noted.md

Default branch main · commit daa63ba1 · scanned 6/16/2026, 5:02:29 PM

GitHub: 500 stars · 27 forks

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 tejas-raskar/noted.md, 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
    Strengthen README's opening sentence to clarify core function

    Why:

    CURRENT
    A command-line tool to convert handwritten notes into a clean and readable Markdown file.
    COPY-PASTE FIX
    noted.md is a **command-line interface (CLI) tool** that leverages **Large Language Models (LLMs)** to convert your **handwritten notes from images (JPG, JPEG, PNG) and PDFs into structured Markdown files**, including LaTeX-formatted mathematical equations. It supports interactive and batch processing.
  • hightopics#2
    Add specific topics for handwritten note conversion and AI

    Why:

    CURRENT
    markdown, rust
    COPY-PASTE FIX
    markdown, rust, handwritten-notes, ocr, llm, pdf-to-markdown, image-to-markdown, cli-tool, document-conversion
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/tejas-raskar/noted.md

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 tejas-raskar/noted.md
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tesseract OCR
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tesseract OCR · recommended 2×
  2. Google Cloud Vision AI · recommended 1×
  3. Microsoft OneNote · recommended 1×
  4. Abbyy FineReader · recommended 1×
  5. Notion · recommended 1×
  • CATEGORY QUERY
    How can I convert scanned handwritten notes from images or PDFs into markdown files?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Microsoft OneNote
    3. Abbyy FineReader
    4. Tesseract OCR
    5. Notion

    AI recommended 5 alternatives but never named tejas-raskar/noted.md. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    CLI tool to transform handwritten text from images into structured markdown using AI models?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision API
    2. gcloud CLI
    3. Microsoft Azure Computer Vision
    4. Azure CLI
    5. Tesseract OCR
    6. Pillow
    7. markdown-it-py
    8. ImageMagick
    9. OpenCV
    10. AWS Textract
    11. AWS CLI

    AI recommended 11 alternatives but never named tejas-raskar/noted.md. 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 tejas-raskar/noted.md?
    pass
    AI did not name tejas-raskar/noted.md — 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 tejas-raskar/noted.md in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tejas-raskar/noted.md 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 tejas-raskar/noted.md solve, and who is the primary audience?
    pass
    AI named tejas-raskar/noted.md explicitly

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

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tejas-raskar/noted.md — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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