RRepoGEO

REPOGEO REPORT · LITE

explosion/spacy-layout

Default branch main · commit c458ab37 · scanned 5/30/2026, 5:47:59 PM

GitHub: 902 stars · 64 forks

AI VISIBILITY SCORE
28 /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
2 / 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 explosion/spacy-layout, 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 to clarify core function

    Why:

    CURRENT
    # spaCy Layout: Process PDFs, Word documents and more with spaCy
    
    This plugin integrates with Docling to bring structured processing of **PDFs**, **Word documents** and other input formats to your spaCy pipeline. It outputs clean, **structured data** in a text-based format and creates spaCy's familiar `Doc` objects that let you access labelled text spans like sections or headings, and tables with their data converted to a `pandas.DataFrame`.
    COPY-PASTE FIX
    # spaCy Layout: Extract Structured Data & Layout from PDFs/Docs for NLP & RAG
    
    This spaCy plugin integrates with Docling to **extract structured data and layout information** from **PDFs**, **Word documents**, and other input formats. It transforms these documents into spaCy's familiar `Doc` objects, providing access to labelled text spans like sections or headings, and tables with their data converted to `pandas.DataFrame`.
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://explosion.ai/blog/pdfs-to-ai-ready-structured-data
  • lowtopics#3
    Add more specific topics for document extraction and layout analysis

    Why:

    CURRENT
    document-layout, document-layout-analysis, docx, generative-ai, natural-language-processing, nlp, pdf, pdf-converter, rag, spacy
    COPY-PASTE FIX
    document-layout, document-layout-analysis, document-extraction, layout-analysis, docx, generative-ai, natural-language-processing, nlp, pdf, pdf-converter, rag, spacy

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 explosion/spacy-layout
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apache Tika
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Apache Tika · recommended 2×
  2. Unstructured · recommended 2×
  3. PyPDF2 · recommended 1×
  4. python-docx · recommended 1×
  5. PDFMiner.six · recommended 1×
  • CATEGORY QUERY
    How can I get structured text from PDFs and Word files for natural language processing?
    you: not recommended
    AI recommended (in order):
    1. Apache Tika
    2. Unstructured
    3. PyPDF2
    4. python-docx
    5. PDFMiner.six
    6. Microsoft Azure Form Recognizer
    7. Google Cloud Document AI
    8. Amazon Textract
    9. Tabula-py
    10. Pandoc

    AI recommended 10 alternatives but never named explosion/spacy-layout. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries help extract layout information from documents for RAG pipelines?
    you: not recommended
    AI recommended (in order):
    1. Unstructured
    2. LayoutParser
    3. Nougat
    4. PyMuPDF
    5. pdfminer.six
    6. Apache Tika

    AI recommended 6 alternatives but never named explosion/spacy-layout. 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 explosion/spacy-layout?
    pass
    AI did not name explosion/spacy-layout — 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 explosion/spacy-layout in production, what risks or prerequisites should they evaluate first?
    pass
    AI named explosion/spacy-layout 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 explosion/spacy-layout solve, and who is the primary audience?
    pass
    AI named explosion/spacy-layout 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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MARKDOWN (README)
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