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REPOGEO REPORT · LITE

Bogdanovich77/DeekSeek-OCR---Dockerized-API

Default branch main · commit e2511082 · scanned 5/23/2026, 4:22:48 PM

GitHub: 1,089 stars · 141 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
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Bogdanovich77/DeekSeek-OCR---Dockerized-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

2 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 emphasize self-hosted, Dockerized API

    Why:

    CURRENT
    # DeepSeek-OCR: PDF to Markdown Converter

A powerful OCR solution that converts PDF documents to Markdown format using DeepSeek-OCR with FastAPI backend. This project provides both a batch processing script and a REST API for flexible document conversion.
    COPY-PASTE FIX
    # DeepSeek-OCR: PDF to Markdown Converter (Self-Hosted, Dockerized API)

A powerful **self-hosted, open-source** OCR solution that converts PDF documents to Markdown format using DeepSeek-OCR with a FastAPI backend. This project provides a **Dockerized REST API** and a batch processing script for flexible, on-premise document conversion, ideal for developers seeking a private, high-performance OCR service.
  • highabout#2
    Add a concise description to the repository's About section

    Why:

    COPY-PASTE FIX
    Self-hosted, Dockerized REST API for high-performance PDF to Markdown conversion using DeepSeek-OCR, with batch processing capabilities and GPU acceleration.

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 Bogdanovich77/DeekSeek-OCR---Dockerized-API
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Surge AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Surge AI · recommended 1×
  2. Azure AI Document Intelligence · recommended 1×
  3. Google Cloud Document AI · recommended 1×
  4. AWS Textract · recommended 1×
  5. PDF.co · recommended 1×
  • CATEGORY QUERY
    How to convert PDF documents into structured Markdown format using an API?
    you: not recommended
    AI recommended (in order):
    1. Surge AI
    2. Azure AI Document Intelligence
    3. Google Cloud Document AI
    4. AWS Textract
    5. PDF.co
    6. Aspose.PDF for Cloud
    7. Cloudmersive Document and Data Conversion API

    AI recommended 7 alternatives but never named Bogdanovich77/DeekSeek-OCR---Dockerized-API. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a self-hosted OCR solution deployable as a Dockerized REST API.
    you: not recommended
    AI recommended (in order):
    1. Tesseract OCR
    2. tesseract-ocr-rest
    3. docker-tesseract-rest
    4. PaddleOCR
    5. EasyOCR
    6. Flask
    7. FastAPI
    8. Surya
    9. OCRmyPDF

    AI recommended 9 alternatives but never named Bogdanovich77/DeekSeek-OCR---Dockerized-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
    fail

    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 Bogdanovich77/DeekSeek-OCR---Dockerized-API?
    pass
    AI did not name Bogdanovich77/DeekSeek-OCR---Dockerized-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 Bogdanovich77/DeekSeek-OCR---Dockerized-API in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Bogdanovich77/DeekSeek-OCR---Dockerized-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 Bogdanovich77/DeekSeek-OCR---Dockerized-API solve, and who is the primary audience?
    pass
    AI did not name Bogdanovich77/DeekSeek-OCR---Dockerized-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?

Embed your GEO score

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Bogdanovich77/DeekSeek-OCR---Dockerized-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