RRepoGEO

REPOGEO REPORT · LITE

invoice-x/invoice2data

Default branch master · commit 5d913b57 · scanned 6/27/2026, 10:16:44 PM

GitHub: 2,168 stars · 548 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 invoice-x/invoice2data, 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 opening to highlight core differentiator

    Why:

    CURRENT
    A command line tool and Python library that automates the extraction of key information from invoices to support your accounting process. The library is very flexible and can be used on other types of business documents as well.
    COPY-PASTE FIX
    invoice2data is an **open-source Python library and command-line tool** for **template-driven extraction of structured data from PDF invoices and other business documents**. It automates the process of converting semi-structured documents into clean, usable data, offering a flexible alternative to generic OCR or expensive commercial solutions.
  • mediumtopics#2
    Add more specific topics for better categorization

    Why:

    CURRENT
    data-mining, python
    COPY-PASTE FIX
    python, invoice-processing, data-extraction, pdf-parser, template-engine, open-source, document-automation
  • lowreadme#3
    Move badges and external links below the initial description

    Why:

    COPY-PASTE FIX
    Move all badges and external links (e.g., PyPI, Read the Docs, license, tests, coverage, pre-commit, ruff) from the very top of the README to a dedicated 'Status' section or immediately after the initial descriptive paragraph.

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 invoice-x/invoice2data
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docparser
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Docparser · recommended 1×
  2. Azure Form Recognizer · recommended 1×
  3. Google Cloud Document AI · recommended 1×
  4. Amazon Textract · recommended 1×
  5. pdfplumber · recommended 1×
  • CATEGORY QUERY
    How to extract structured data from PDF invoices using a Python library?
    you: not recommended
    AI recommended (in order):
    1. Docparser
    2. Azure Form Recognizer
    3. Google Cloud Document AI
    4. Amazon Textract
    5. pdfplumber
    6. Camelot
    7. PyPDF2

    AI recommended 7 alternatives but never named invoice-x/invoice2data. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source tools for automating information extraction from business documents?
    you: not recommended
    AI recommended (in order):
    1. Apache Tika
    2. spaCy
    3. OpenCV
    4. Tesseract OCR
    5. DocTR
    6. Haystack

    AI recommended 6 alternatives but never named invoice-x/invoice2data. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 invoice-x/invoice2data?
    pass
    AI named invoice-x/invoice2data explicitly

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

  • If a team adopts invoice-x/invoice2data in production, what risks or prerequisites should they evaluate first?
    pass
    AI named invoice-x/invoice2data 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 invoice-x/invoice2data solve, and who is the primary audience?
    pass
    AI named invoice-x/invoice2data 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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