RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/DeepSeek-OCR-2

Default branch main · commit 2f3699eb · scanned 5/25/2026, 6:58:30 PM

GitHub: 2,877 stars · 250 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 deepseek-ai/DeepSeek-OCR-2, 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
  • hightopics#1
    Add relevant topics for categorization

    Why:

    COPY-PASTE FIX
    ocr, multi-modal-llm, mllm, text-recognition, document-understanding, computer-vision, deep-learning
  • mediumabout#2
    Update repository description to be more explicit

    Why:

    CURRENT
    Visual Causal Flow
    COPY-PASTE FIX
    DeepSeek-OCR 2: A state-of-the-art Multi-modal Large Language Model (MLLM) for robust visual text recognition and document understanding.

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 deepseek-ai/DeepSeek-OCR-2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tesseract OCR
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tesseract OCR · recommended 2×
  2. Google Cloud Document AI · recommended 1×
  3. Amazon Textract · recommended 1×
  4. Microsoft Azure Form Recognizer · recommended 1×
  5. ABBYY FineReader Engine SDK · recommended 1×
  • CATEGORY QUERY
    Seeking an advanced OCR model capable of understanding complex visual document layouts accurately.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI
    2. Amazon Textract
    3. Microsoft Azure Form Recognizer
    4. ABBYY FineReader Engine SDK
    5. Tesseract OCR
    6. Rossum

    AI recommended 6 alternatives but never named deepseek-ai/DeepSeek-OCR-2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the leading AI models for robust and human-like visual text recognition?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Microsoft Azure AI Vision
    3. Amazon Rekognition
    4. Tesseract OCR
    5. PaddleOCR
    6. EasyOCR

    AI recommended 6 alternatives but never named deepseek-ai/DeepSeek-OCR-2. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    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 deepseek-ai/DeepSeek-OCR-2?
    pass
    AI named deepseek-ai/DeepSeek-OCR-2 explicitly

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

  • If a team adopts deepseek-ai/DeepSeek-OCR-2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/DeepSeek-OCR-2 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 deepseek-ai/DeepSeek-OCR-2 solve, and who is the primary audience?
    pass
    AI named deepseek-ai/DeepSeek-OCR-2 explicitly

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

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deepseek-ai/DeepSeek-OCR-2 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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