REPOGEO REPORT · LITE

DocumindHQ/documind

Default branch main · commit f258286f · scanned 5/18/2026, 9:27:03 AM

GitHub: 1,474 stars · 60 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 DocumindHQ/documind, 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 the README H1 and introductory paragraph

Why:

CURRENT

# Documind

**`Documind`** is an advanced document processing tool that leverages AI to extract structured data from PDFs.

COPY-PASTE FIX

# Documind: Open-Source AI Platform for Structured Data Extraction

**`Documind`** is an advanced, open-source AI platform designed to extract structured data from diverse document types, enabling custom-schema-driven outputs. It provides a self-hostable solution for converting documents, extracting relevant information, and formatting results as specified by customizable schemas.

mediumreadme#2

Add license clarification to the README

Why:

COPY-PASTE FIX

## License

Documind is released under [Specify License Name(s) from your LICENSE file, e.g., 'a custom license combining Apache-2.0 and MIT']. Please refer to the [LICENSE](LICENSE) file for complete details.

mediumtopics#3

Enhance GitHub topics with platform and custom schema keywords

Why:

CURRENT

ai, developer-tools, document-analysis, document-extraction, extract-data, llms, ocr, open-source, parser, pdf, pdf-converter, pdf-extractor, pdf-extractor-llm

COPY-PASTE FIX

ai, developer-tools, document-analysis, document-extraction, extract-data, llms, ocr, open-source, parser, pdf, pdf-converter, pdf-extractor, pdf-extractor-llm, data-extraction-platform, custom-schemas, document-ai-platform

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 DocumindHQ/documind

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

apache/tika

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

apache/tika · recommended 1×
Unstructured-IO/unstructured · recommended 1×
kermitt2/grobid · recommended 1×
tabulapdf/tabula-py · recommended 1×
pdfminer/pdfminer.six · recommended 1×

CATEGORY QUERY
What open-source solutions exist for extracting structured data from diverse document types into JSON?
you: not recommended
AI recommended (in order):
1. Apache Tika (apache/tika)
2. Unstructured (Unstructured-IO/unstructured)
3. Grobid (kermitt2/grobid)
4. Tabula-py (tabulapdf/tabula-py)
5. PDFMiner.six (pdfminer/pdfminer.six)
6. OCRmyPDF (ocrmypdf/OCRmyPDF)
7. Scrapy (scrapy/scrapy)
AI recommended 7 alternatives but never named DocumindHQ/documind. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for an AI tool to parse PDF content into custom-schema-driven structured outputs.
you: not recommended
AI recommended (in order):
1. DocuMotor
2. Rossum
3. Surya
4. Google Cloud Document AI
5. Amazon Textract
6. Microsoft Azure Form Recognizer
7. Nanonets
AI recommended 7 alternatives but never named DocumindHQ/documind. 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 DocumindHQ/documind?
pass
AI named DocumindHQ/documind explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts DocumindHQ/documind in production, what risks or prerequisites should they evaluate first?
pass
AI named DocumindHQ/documind 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 DocumindHQ/documind solve, and who is the primary audience?
pass
AI named DocumindHQ/documind 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 DocumindHQ/documind. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/DocumindHQ/documind.svg)](https://repogeo.com/en/r/DocumindHQ/documind)

HTML

<a href="https://repogeo.com/en/r/DocumindHQ/documind"><img src="https://repogeo.com/badge/DocumindHQ/documind.svg" alt="RepoGEO" /></a>

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DocumindHQ/documind — 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