RRepoGEO

REPOGEO REPORT · LITE

chatdoc-com/OCRFlux

Default branch main · commit c1b315aa · scanned 5/10/2026, 4:52:42 PM

GitHub: 2,495 stars · 151 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 chatdoc-com/OCRFlux, 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
  • highreadme#1
    Reposition README opening to emphasize multimodal LLM and PDF-to-Markdown

    Why:

    CURRENT
    OCRFlux is a multimodal large language model based toolkit for converting PDFs and images into clean, readable, plain Markdown text. It aims to push the current state-of-the-art to a significantly higher level.
    COPY-PASTE FIX
    OCRFlux is a cutting-edge multimodal large language model (LLM) based toolkit designed for advanced PDF-to-Markdown conversion. It excels in transforming complex PDFs and images into clean, structured Markdown, uniquely handling intricate layouts, complicated tables, and cross-page content merging.
  • mediumhomepage#2
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://ocrflux.pdfparser.io/

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 chatdoc-com/OCRFlux
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pdfminer/pdfminer.six
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pdfminer/pdfminer.six · recommended 2×
  2. Adobe Acrobat Pro DC · recommended 1×
  3. PDFTron SDK · recommended 1×
  4. layout-parser/layout-parser · recommended 1×
  5. facebookresearch/nougat · recommended 1×
  • CATEGORY QUERY
    How to accurately convert complex multi-column PDFs into structured Markdown text?
    you: not recommended
    AI recommended (in order):
    1. Adobe Acrobat Pro DC
    2. PDFTron SDK
    3. LayoutParser (layout-parser/layout-parser)
    4. Nougat (facebookresearch/nougat)
    5. Apache Tika
    6. pdfminer.six (pdfminer/pdfminer.six)
    7. Pandoc (jgm/pandoc)

    AI recommended 7 alternatives but never named chatdoc-com/OCRFlux. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for extracting and merging tables from multi-page PDFs into readable Markdown?
    you: not recommended
    AI recommended (in order):
    1. Camelot (camelot-dev/camelot)
    2. Tabula-py (tabulapdf/tabula-py)
    3. PDFMiner.six (pdfminer/pdfminer.six)
    4. Adobe Acrobat Pro
    5. Aspose.PDF
    6. Zamzar

    AI recommended 6 alternatives but never named chatdoc-com/OCRFlux. 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 chatdoc-com/OCRFlux?
    pass
    AI named chatdoc-com/OCRFlux explicitly

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

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

    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 chatdoc-com/OCRFlux. 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/chatdoc-com/OCRFlux.svg)](https://repogeo.com/en/r/chatdoc-com/OCRFlux)
HTML
<a href="https://repogeo.com/en/r/chatdoc-com/OCRFlux"><img src="https://repogeo.com/badge/chatdoc-com/OCRFlux.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

chatdoc-com/OCRFlux — 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