RRepoGEO

REPOGEO REPORT · LITE

CatchTheTornado/text-extract-api

Default branch main · commit a78eebfb · scanned 6/30/2026, 7:22:45 AM

GitHub: 3,107 stars · 276 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 CatchTheTornado/text-extract-api, 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 H1 to emphasize API, self-hostable, and LLM features

    Why:

    CURRENT
    # text-extract-api

Convert any image, PDF or Office document to Markdown *text* or JSON structured document with super-high accuracy, including tabular data, numbers or math formulas.
    COPY-PASTE FIX
    # text-extract-api

A self-hostable, privacy-centric API for converting any image, PDF, or Office document to structured Markdown or JSON. It leverages state-of-the-art local OCRs and open-source LLMs (like Ollama-supported models) for high-accuracy extraction, PII removal, and anonymization.
  • mediumabout#2
    Refine the 'About' description for clarity and conciseness

    Why:

    CURRENT
    Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown
    COPY-PASTE FIX
    A self-hostable, privacy-centric API for advanced document processing: extract structured JSON/Markdown from PDFs, Office docs, and images using local OCRs and Ollama-supported LLMs. Includes PII removal and anonymization.
  • mediumreadme#3
    Add a 'Comparison' section to the README to differentiate from basic OCR tools

    Why:

    COPY-PASTE FIX
    ## Why text-extract-api? (vs. Tesseract, PaddleOCR, PDFMiner)

Unlike basic OCR libraries or PDF parsers, `text-extract-api` is a complete, self-hostable API solution. It integrates multiple OCR engines with open-source LLMs (Ollama) to not just extract raw text, but to convert documents into structured JSON or Markdown, enhance OCR accuracy, and perform PII removal. It's designed for developers needing a production-ready, privacy-focused document processing backend, not just a command-line tool.

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 CatchTheTornado/text-extract-api
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tesseract-ocr/tesseract
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tesseract-ocr/tesseract · recommended 1×
  2. PaddlePaddle/PaddleOCR · recommended 1×
  3. mindee/doctr · recommended 1×
  4. opencv/opencv · recommended 1×
  5. pdfminer/pdfminer.six · recommended 1×
  • CATEGORY QUERY
    How to extract text and structured data from PDFs and images using local OCR?
    you: not recommended
    AI recommended (in order):
    1. Tesseract OCR (tesseract-ocr/tesseract)
    2. PaddleOCR (PaddlePaddle/PaddleOCR)
    3. DocTR (mindee/doctr)
    4. OpenCV (opencv/opencv)
    5. PDFMiner.six (pdfminer/pdfminer.six)

    AI recommended 5 alternatives but never named CatchTheTornado/text-extract-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can anonymize documents and convert them to JSON using open-source LLMs?
    you: not recommended
    AI recommended (in order):
    1. Presidio
    2. spaCy
    3. Hugging Face Transformers
    4. Anonymizer
    5. Privacy-preserving NLP Toolkit (PPL-Toolkit)
    6. NLTK

    AI recommended 6 alternatives but never named CatchTheTornado/text-extract-api. 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 CatchTheTornado/text-extract-api?
    pass
    AI named CatchTheTornado/text-extract-api explicitly

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

  • If a team adopts CatchTheTornado/text-extract-api in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CatchTheTornado/text-extract-api 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 CatchTheTornado/text-extract-api solve, and who is the primary audience?
    pass
    AI did not name CatchTheTornado/text-extract-api — 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?

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CatchTheTornado/text-extract-api — 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
CatchTheTornado/text-extract-api — RepoGEO report