ocr-document

ocr-document is a skill for Claude Code, Codex from JansenAnalytics/claudex. It costs 66 tokens per session (499 once invoked), scanned A, original, MIT.

A document-reading tool that extracts text and tables from PDFs, scanned documents, and images. It can read Norwegian and English using direct extraction or OCR, which turns pictures of text into editable text.

In plain words
What is it for?
Use it to read PDFs, scan paper documents, extract tables, select specific pages, or save extracted content as Markdown.
Why use it?
It helps when a PDF has no usable text layer or when copying tables manually would be slow. It can choose between direct reading and OCR for each document or page.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to read PDFs, scan paper documents, extract tables, select specific pages, or save extracted content as Markdown.

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Install with agentmods
npx agentmods add skills/jansenanalytics/claudex/ocr-document
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add JansenAnalytics/claudex --skill ocr-document
Clone the repo
git clone --depth 1 https://github.com/JansenAnalytics/claudex

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ocr-document

README.md
[![agentmods](https://agentmods.dev/badge/skills/jansenanalytics/claudex/ocr-document.svg)](https://agentmods.dev/skills/jansenanalytics/claudex/ocr-document)
Your own site
<a href="https://agentmods.dev/skills/jansenanalytics/claudex/ocr-document"><img src="https://agentmods.dev/badge/skills/jansenanalytics/claudex/ocr-document.svg" alt="Measured on agentmods" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 499 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.00499
Opus 5 $0.00033 $0.00249
Sonnet 5 $0.00013 $0.00100
Haiku 4.5 $0.00007 $0.00050

Measured 3d ago against content hash 787610876d3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ocr-document scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/extract.py, scripts/telegram_file.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ocr-document/SKILL.md · 62 lines

What it actually says

OCR Document Skill

Extract text from PDF/image

SKILL=${CLAUDE_SKILLS_DIR:-$HOME/.claude-agent/.claude/skills}/ocr-document/scripts

# Auto-detect best method (text vs OCR)
python3 $SKILL/extract.py document.pdf

# Force OCR (for scanned documents)
python3 $SKILL/extract.py document.pdf --method ocr --lang nor+eng

# Extract tables (pdfplumber)
python3 $SKILL/extract.py document.pdf --method pdfplumber

# Specific pages
python3 $SKILL/extract.py document.pdf --pages 1-5

# Save to file
python3 $SKILL/extract.py document.pdf --output extracted.md

# OCR an image
python3 $SKILL/extract.py photo.jpg --lang nor+eng

Download Telegram files

# Download by file_id
python3 $SKILL/telegram_file.py --file-id <id> --output file.pdf

# Get most recent document from a chat
python3 $SKILL/telegram_file.py --chat-id <your-telegram-user-id> --recent --output file.pdf

Methods

  • auto: Try text extraction first, fall back to OCR if low text content
  • text: PyMuPDF direct extraction (fastest)
  • pdfplumber: Better for tables and structured data
  • ocr: Tesseract OCR via pdf2image (for scanned docs)
  • hybrid: Text first, OCR only for pages that need it

Languages

Default: nor+eng (Norwegian + English). Change with --lang. Available: tesseract --list-langs

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 62 lines · 66 tokens per session scan A 787610876d3f

Subscribe to this mod's changes

ocr-document is a skill published in the GitHub repository JansenAnalytics/claudex (5 stars, last pushed 2mo ago), licensed MIT. It adds 66 tokens to every session and 499 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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