RRepoGEO

REPOGEO REPORT · LITE

CatchTheTornado/text-extract-api

Default branch main · commit a78eebfb · scanned 5/19/2026, 12:12:36 AM

GitHub: 3,103 stars · 274 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
27 /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
1 / 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 README H1 and opening sentence to emphasize core value

    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: Self-Hosted Document Extraction API with LLMs & PII Removal

This FastAPI-based API converts any image, PDF, or Office document into structured JSON or Markdown, leveraging local LLMs (like Ollama) for enhanced OCR accuracy and automated PII removal, all without external cloud dependencies.
  • mediumtopics#2
    Add specific technology and feature topics

    Why:

    CURRENT
    anonymization, api, extract, json, llm, ocr, ocr-python, pdf, pii
    COPY-PASTE FIX
    anonymization, api, extract, json, llm, ocr, ocr-python, pdf, pii, fastapi, celery, ollama, document-processing, pii-removal, local-llm, privacy-focused
  • mediumreadme#3
    Add a "Why Choose text-extract-api?" section to highlight unique differentiators

    Why:

    COPY-PASTE FIX
    ## Why Choose text-extract-api?

Unlike generic OCR tools or cloud-dependent solutions, `text-extract-api` offers a unique combination:

*   **Privacy-First & Self-Hosted**: Keep all your data on-premise with no external cloud dependencies.
*   **LLM-Enhanced Accuracy**: Leverage local LLMs (like Ollama) to significantly improve OCR text quality, fix spelling, and extract structured data.
*   **Automated PII Redaction**: Built-in capabilities to detect and remove Personally Identifiable Information from documents.
*   **API-Driven**: Designed as a robust FastAPI service for easy integration into your applications, with asynchronous processing via Celery.

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
facebookresearch/nougat
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. facebookresearch/nougat · recommended 1×
  2. apache/tika · recommended 1×
  3. Unstructured-IO/unstructured · recommended 1×
  4. ocrmypdf/OCRmyPDF · recommended 1×
  5. py-pdf/pypdf · recommended 1×
  • CATEGORY QUERY
    Local solution to convert PDFs, images, and office documents into structured JSON or Markdown?
    you: not recommended
    AI recommended (in order):
    1. Nougat (facebookresearch/nougat)
    2. Apache Tika (apache/tika)
    3. Unstructured.io (Unstructured-IO/unstructured)
    4. OCRmyPDF (ocrmypdf/OCRmyPDF)
    5. PyPDF2 (py-pdf/pypdf)
    6. pdfminer.six (pdfminer/pdfminer.six)
    7. Pandoc (jgm/pandoc)
    8. DocTR (mindee/doctr)
    9. Microsoft Playwright (microsoft/playwright)
    10. Selenium (SeleniumHQ/selenium)

    AI recommended 10 alternatives but never named CatchTheTornado/text-extract-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to remove PII from documents and enhance OCR text using local large language models?
    you: not recommended
    AI recommended (in order):
    1. Presidio
    2. spaCy
    3. Tesseract
    4. PaddleOCR
    5. Hugging Face Transformers
    6. BERT
    7. T5
    8. NVIDIA NeMo Guardrails
    9. NVIDIA Riva
    10. Llama 2
    11. Mistral
    12. TensorRT-LLM
    13. DocTR
    14. DistilBERT
    15. NLTK
    16. OpenNMT
    17. Haystack

    AI recommended 17 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 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?

  • 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