RRepoGEO

REPOGEO REPORT · LITE

NanoNets/docstrange

Default branch main · commit d72ce262 · scanned 6/29/2026, 11:42:51 AM

GitHub: 1,491 stars · 135 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
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 NanoNets/docstrange, 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 README H1 and opening paragraph to clarify core function

    Why:

    CURRENT
    # DocStrange

DocStrange converts documents to Markdown, JSON, CSV, and HTML quickly and accurately.
    COPY-PASTE FIX
    # DocStrange: Open-Source Intelligent Document Processing (IDP)

DocStrange is an advanced, open-source Intelligent Document Processing (IDP) tool that extracts and converts data from diverse documents (PDFs, images, office files, URLs) into structured formats like Markdown, JSON, CSV, and HTML. It is not a code documentation generator.
  • mediumreadme#2
    Add a comparison section explicitly positioning DocStrange against commercial IDP

    Why:

    COPY-PASTE FIX
    ## Why DocStrange? An Open-Source Alternative to Commercial IDP

DocStrange provides a powerful, open-source alternative to commercial Intelligent Document Processing (IDP) solutions like Google Cloud Document AI, Amazon Textract, and Azure AI Document Intelligence. It offers advanced OCR, structured data extraction, and LLM-optimized output with the flexibility of local processing or a free cloud API, ensuring data privacy and cost-effectiveness.
  • lowtopics#3
    Add "intelligent-document-processing" and "idp" to repository topics

    Why:

    CURRENT
    ai, document-parser, document-parsing, image-to-markdown, llm, markdown, ocr, pdf-parser, pdf-to-json, pdf-to-markdown, structured-data, structured-data-capture, tables
    COPY-PASTE FIX
    ai, document-parser, document-parsing, image-to-markdown, llm, markdown, ocr, pdf-parser, pdf-to-json, pdf-to-markdown, structured-data, structured-data-capture, tables, intelligent-document-processing, idp

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 NanoNets/docstrange
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Document AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Document AI · recommended 2×
  2. Abbyy FineReader Engine SDK · recommended 2×
  3. Amazon Textract · recommended 1×
  4. Microsoft Azure Form Recognizer (now Azure AI Document Intelligence) · recommended 1×
  5. Rossum · recommended 1×
  • CATEGORY QUERY
    How can I extract structured data from diverse documents like PDFs, images, and office files into JSON?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI
    2. Amazon Textract
    3. Microsoft Azure Form Recognizer (now Azure AI Document Intelligence)
    4. Rossum
    5. Tesseract OCR
    6. PDF.co
    7. Abbyy FineReader Engine SDK

    AI recommended 7 alternatives but never named NanoNets/docstrange. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for converting scanned documents and images into clean, LLM-optimized markdown?
    you: not recommended
    AI recommended (in order):
    1. Azure AI Document Intelligence
    2. Google Cloud Document AI
    3. AWS Textract
    4. Tesseract OCR (tesseract-ocr/tesseract)
    5. Abbyy FineReader Engine SDK
    6. Nougat (facebookresearch/nougat)

    AI recommended 6 alternatives but never named NanoNets/docstrange. 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 NanoNets/docstrange?
    pass
    AI did not name NanoNets/docstrange — 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 NanoNets/docstrange in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NanoNets/docstrange 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 NanoNets/docstrange solve, and who is the primary audience?
    pass
    AI named NanoNets/docstrange explicitly

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

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite