RRepoGEO

REPOGEO REPORT · LITE

fufankeji/DeepSeek-OCR-Web

Default branch main · commit 96e3ca4c · scanned 6/4/2026, 3:47:52 PM

GitHub: 549 stars · 94 forks

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 fufankeji/DeepSeek-OCR-Web, 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
  • hightopics#1
    Add specific topics for better categorization

    Why:

    COPY-PASTE FIX
    ocr, deepseek-ocr, document-parsing, web-studio, react, fastapi, pdf-parser, image-ocr, layout-analysis, table-extraction, chart-analysis, multilingual-ocr
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, selecting a standard open-source license appropriate for the project.
  • mediumreadme#3
    Emphasize "Web Studio" and "out-of-the-box" in the README overview

    Why:

    CURRENT
    This project is a multimodal document parsing tool based on DeepSeek-OCR with React frontend and FastAPI backend.
    COPY-PASTE FIX
    DeepSeek-OCR Studio is an out-of-the-box web application for multimodal document parsing, leveraging DeepSeek-OCR with a React frontend and FastAPI backend.

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 fufankeji/DeepSeek-OCR-Web
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Amazon Textract
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Amazon Textract · recommended 2×
  2. Google Cloud Vision AI · recommended 1×
  3. Microsoft Azure Cognitive Services - Computer Vision (OCR) · recommended 1×
  4. Tesseract OCR · recommended 1×
  5. ABBYY FineReader Engine (SDK) · recommended 1×
  • CATEGORY QUERY
    What are good tools for high-precision OCR on PDFs and images with multi-language support?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Amazon Textract
    3. Microsoft Azure Cognitive Services - Computer Vision (OCR)
    4. Tesseract OCR
    5. ABBYY FineReader Engine (SDK)
    6. Adobe Acrobat Pro

    AI recommended 6 alternatives but never named fufankeji/DeepSeek-OCR-Web. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a web-based studio for comprehensive document layout analysis, table, and chart data extraction.
    you: not recommended
    AI recommended (in order):
    1. DocuWorks Cloud
    2. Amazon Textract
    3. Google Cloud Document AI
    4. Azure AI Document Intelligence
    5. Rossum
    6. Nanonets
    7. ABBYY Vantage

    AI recommended 7 alternatives but never named fufankeji/DeepSeek-OCR-Web. 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 fufankeji/DeepSeek-OCR-Web?
    pass
    AI did not name fufankeji/DeepSeek-OCR-Web — 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 fufankeji/DeepSeek-OCR-Web in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fufankeji/DeepSeek-OCR-Web 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 fufankeji/DeepSeek-OCR-Web solve, and who is the primary audience?
    pass
    AI did not name fufankeji/DeepSeek-OCR-Web — 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

Drop this badge into the README of fufankeji/DeepSeek-OCR-Web. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/fufankeji/DeepSeek-OCR-Web.svg)](https://repogeo.com/en/r/fufankeji/DeepSeek-OCR-Web)
HTML
<a href="https://repogeo.com/en/r/fufankeji/DeepSeek-OCR-Web"><img src="https://repogeo.com/badge/fufankeji/DeepSeek-OCR-Web.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

fufankeji/DeepSeek-OCR-Web — 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