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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

2 months 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
2 months 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.

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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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