epo-oa-cli 0.2.1

EPO patent prosecution history CLI — download, parse, and analyze European patent documents for AI-assisted analysis

epo-oa-cli

EPO patent prosecution history CLI — Download, parse, and analyze European Patent Office (EPO) prosecution documents for AI-assisted patent analysis.

pip install epo-oa-cli
epo-oa run EP21841218

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Overview

epo-oa fetches the complete prosecution history of any EP patent from the EPO Register, extracts PDF text (with optional OCR), and generates a structured prosecution.md file ready for AI analysis (Claude, GPT-4, etc.).

epo-oa run EP21841218
  → Downloads 40 documents as ZIP
  → Extracts & parses toc.xml
  → Generates file/EP21841218/EP21841218_prosecution.md

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Installation

pip install epo-oa-cli

# With OCR support (for image-based PDFs)
pip install "epo-oa-cli[ocr]"

Requires Python 3.12+.

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Quick Start

# 1. List all documents
epo-oa list EP21841218

# 2. Download as ZIP + extract
epo-oa download EP21841218

# 3. Parse PDFs → prosecution.md
epo-oa extract EP21841218

# 4. All-in-one
epo-oa run EP21841218

With OCR (for image-based PDFs)

EPO PDFs are full-page image scans. Run OCR first to embed text into the analysis file:

# OCR key documents only
epo-oa ocr EP21841218 --codes 1703,1224,ABEX

# OCR all documents
epo-oa ocr EP21841218

# Extract with OCR text embedded
epo-oa extract EP21841218 --with-ocr

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Commands

Command	Description
epo-oa list <EP>	List prosecution documents from EPO Register
epo-oa download <EP>	Download all documents as ZIP archive
epo-oa extract <EP>	Parse PDFs → prosecution.md / prosecution.json
epo-oa ocr <EP>	OCR image-based PDFs → searchable *_ocr.pdf
epo-oa run <EP>	Download + extract in one step

Options

epo-oa list EP21841218 --format json          # JSON output
epo-oa download EP21841218 --force            # Re-download
epo-oa extract EP21841218 --format json       # JSON output
epo-oa extract EP21841218 --with-ocr          # Embed OCR text
epo-oa ocr EP21841218 --codes 1703,ABEX       # Selective OCR
epo-oa ocr EP21841218 --in-place              # Overwrite originals

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Output: prosecution.md

The generated markdown file is structured for AI agents:

# EPO Prosecution Analysis — EP21841218

## Summary
| Item | Count |
|------|-------|
| Total documents | 40 |
| 🔴 Office Actions | 2 |
| 🔵 Amendments | 13 |
| ✅ Grant / Decision | 8 |

## Timeline
| Date | Cat | Document | File |
|------|-----|----------|------|
| 2023-10-30 | 🔍 | European Search Opinion (1703) 🖼️ | ... |
| 2024-02-15 | 🔵 | Amended Claims (CLMSABEX) 🖼️ | ... |
| 2026-02-05 | ✅ | Decision to Grant (2006A) 🖼️ | ... |

## 🔴 Office Action Documents
### European Search Opinion — 2023-10-30
**OCR Text:**
```text
D1 WO 2020/138918 A1 (SAMSUNG ELECTRONICS CO LTD)
1.1 D1 discloses an electronic device with the following features...
` `` `

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Politeness & Rate Limiting

This tool accesses a public EPO server. It enforces:

• Random delays (1.5–3.0s) between requests
• Browser-like headers
• ZIP archive download (minimises HTTP requests)

Please do not run this tool in tight loops or CI pipelines without appropriate throttling.

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Notes for AI Agents

• Image-only PDFs show 🖼️ — provide the path field directly to vision-capable models
• Run epo-oa ocr + --with-ocr to embed text for language models
• JSON output (--format json) includes full path and text fields for programmatic access
• The prosecution.md is designed to fit within typical LLM context windows for smaller dockets

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License

MIT