RRepoGEO

REPOGEO REPORT · LITE

doc-analysis/DocBank

Default branch master · commit 7078c6e6 · scanned 6/1/2026, 8:57:43 PM

GitHub: 645 stars · 79 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 doc-analysis/DocBank, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    document-layout-analysis, dataset, nlp, computer-vision, benchmark, document-understanding, layoutlm, information-extraction
  • highhomepage#2
    Add the official DocBank dataset homepage URL

    Why:

    COPY-PASTE FIX
    [Insert the actual URL for the DocBank dataset homepage here]
  • mediumreadme#3
    Strengthen the README's opening paragraph for AI scanning

    Why:

    CURRENT
    # DocBank

DocBank is a new large-scale dataset that is constructed using a weak supervision approach. It enables models to integrate both the textual and layout information for downstream tasks. The current DocBank dataset totally includes 500K document pages, where 400K for training, 50K for validation and 50K for testing.

## News
    COPY-PASTE FIX
    # DocBank: A Large-Scale Benchmark Dataset for Document Layout Analysis

DocBank is a comprehensive, large-scale benchmark dataset specifically designed for document layout analysis and content understanding. It uniquely integrates both textual and layout information, making it ideal for training NLP models on document structure. Constructed using a weak supervision approach, DocBank includes 500K document pages (400K training, 50K validation, 50K testing).

## News

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 doc-analysis/DocBank
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DocLayNet
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DocLayNet · recommended 1×
  2. PubLayNet · recommended 1×
  3. RVL-CDIP · recommended 1×
  4. FUNSD · recommended 1×
  5. SROIE · recommended 1×
  • CATEGORY QUERY
    Need a large-scale dataset for document layout analysis that integrates both text and visual information.
    you: not recommended
    AI recommended (in order):
    1. DocLayNet
    2. PubLayNet
    3. RVL-CDIP
    4. FUNSD
    5. SROIE
    6. IIT-CDIP

    AI recommended 6 alternatives but never named doc-analysis/DocBank. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What benchmarks are available for training NLP models on document structure and content understanding?
    you: not recommended
    AI recommended (in order):
    1. DocVQA
    2. FUNSD (Form Understanding in Noisy Scanned Documents)
    3. SROIE (Scanned Receipt OCR and Information Extraction)
    4. RVL-CDIP (Ryerson Vision Lab Complex Document Image Processing)
    5. WikiTableQuestions
    6. TabFact (Table Fact Verification)
    7. CORD (Customized OCR for Receipt Dataset)

    AI recommended 7 alternatives but never named doc-analysis/DocBank. 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 doc-analysis/DocBank?
    pass
    AI named doc-analysis/DocBank explicitly

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

  • If a team adopts doc-analysis/DocBank in production, what risks or prerequisites should they evaluate first?
    pass
    AI named doc-analysis/DocBank 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 doc-analysis/DocBank solve, and who is the primary audience?
    pass
    AI named doc-analysis/DocBank explicitly

    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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doc-analysis/DocBank — 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