What is doc2md?

56/100
Trust Score (D)
⚠️ Use Caution

doc2md is a coding that A utility that extracts text from images or PDFs using a local or remote OpenAI-compatible LLM API endpoint with vision-capable multimodal models. For PDFs, each page is rendered to an image and proce. It has a Nerq Trust Score of 56/100 (D). 29 GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

56
TRUST SCORE
D
GRADE
29
STARS
0
DOWNLOADS

What doc2md Does

doc2md is a tool in the coding category. A utility that extracts text from images or PDFs using a local or remote OpenAI-compatible LLM API endpoint with vision-capable multimodal models. For PDFs, each page is rendered to an image and processed sequentially; outputs are concatenated into a single Markdown document.. It is published by an independent developer and has no specified license. With 29 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use doc2md

doc2md is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
Categorycoding
LicenseNot specified
Typetool
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=robert-mcdermott-doc2md

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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Frequently Asked Questions

What is doc2md used for?
doc2md is a coding tool. A utility that extracts text from images or PDFs using a local or remote OpenAI-compatible LLM API endpoint with vision-capable multimodal models. For PDFs, each page is rendered to an image and proce.
Is doc2md free?
License: Check project page. doc2md has 29 GitHub stars.
Is doc2md safe?
doc2md has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to doc2md?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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