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ocr-and-documents Skill

AI Agent SkillPythonOpen source

Extract text from PDFs/scans (pymupdf, marker-pdf). Published by NousResearch in hermes-agent.

Decision snapshot

Is this a fit?

Best for

Documentation, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

21 days ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is ocr-and-documents Skill?

Extract text from PDFs/scans (pymupdf, marker-pdf). Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Design and media
  • Documentation use cases
  • Design and media use cases

Declared skill metadata

  • Declared author: Hermes Agent
  • Declared license: MIT
  • Source file: skills/productivity/ocr-and-documents/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use ocr-and-documents Skill

  • Use it for documentation.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: skills/productivity/ocr-and-documents/SKILL.md

What it does

Extract text from PDFs/scans (pymupdf, marker-pdf).

Skill instructions

PDF & Document Extraction For DOCX: see the docx skill (create/edit) or use python-docx for structured reads. For PPTX: see the powerpoint skill (full create/read/edit support). For PDF manipulation (merge, split, forms, watermarks, creation): see the pdf skill. This skill covers text extraction from PDFs and scanned documents. Coming from a readfile EXTRACTION COVERAGE WARNING? readfile auto-converts local PDFs but reads the text layer only; the warning footer lists the pages that yielded no text (scanned images). For a handful of pages, render + vision is fastest: pdftoppm -jpeg -r 150 -f N -l N file.pdf /tmp/page then visionanalyze each image. For bulk OCR of many pages, use marker-pdf below (Step 2). Step 1: Remote URL Available? If the document has a URL, always try webextract first: webextract(urls=["https://arxiv.org/pdf/2402.03300"]) webextract(urls=["https://example.com/report.pdf"]) This handles PDF-to-markdown conversion via Firecrawl with no local dependencies. Only use loc

Verified compatibility and discovery

Frequently asked questions

What is ocr-and-documents?

ocr-and-documents is a open-source AI agent skill with Copy skill directory. Extract text from PDFs/scans (pymupdf, marker-pdf).

Who is ocr-and-documents best for?

ocr-and-documents is best for reusing agent instructions, scripts, and references, documentation workflows, design and media workflows.

How do I install ocr-and-documents?

Install or run ocr-and-documents using Copy skill directory. Check ocr-and-documents for the latest setup command.

Is ocr-and-documents actively maintained?

ocr-and-documents may need a closer maintenance check before production use.

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Stars
232,138
Forks
46,253
Last commit
21 days ago
Last verified
Aug 18, 2026
Metadata fetched
Aug 18, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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