CLAUDE.md@plugins/pdf-extractor · git:20260815.901eba4 · 2026-08-15 · sha256 8c3c552c5f084fe9
CLAUDE.md@plugins/pdf-extractor git:20260815.901eba4A
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# PDF Extractor Plugin
## Purpose
Extract text and structured data from PDF documents with automatic backend selection and graceful fallback. Supports 9 extraction backends optimized for different document types (scanned, tables, forms, etc.).
## Quick Start
```bash
# Extract single PDF
extract-pdfs document.pdf
# Extract directory of PDFs
extract-pdfs ./pdfs/ ./output/
# List available backends
extract-pdfs --list-backends
```
## Installation
### Cross-Harness Plugin Install
```bash
# From the repository root; installs the selected plugin's commands and skill.
autorun --install pdf-extractor --force
```
Use `--claude`, `--gemini`, `--qwen`, `--antigravity`, or `--codex` to target
one harness. Codex and ForgeCode load `$pdf-extractor` through the shared
`~/.agents/skills/pdf-extractor/` route.
### Using uv tool install (Recommended — makes extract-pdfs globally available)
Install a published release:
```bash
uv tool install 'pdf-extractor[cpu]'
extract-pdfs --list-backends
```
For an editable source checkout, every extraction backend lives in an extra, so
name the ones you want. `cpu` gets the CPU backends and is the ordinary choice:
```bash
# From repository root:
cd plugins/pdf-extractor && uv tool install --force --editable ".[cpu]" && cd ../..
# Verify:
extract-pdfs --list-backends
```
| Extra | Adds |
|-------|------|
| `cpu` | markitdown, pdfplumber, pdfminer.six, pypdf |
| `gpu` | docling on Linux/Windows |
| `llm` | pymupdf4llm |
| `progress` | tqdm progress bars |
| `all` | every extra above |
The `marker` backend id remains discoverable when users install marker-pdf
separately. It is excluded from published extras because its supported-platform
dependency graph pins Pillow below the first fully patched release. The `gpu`
extra is empty on macOS because docling's macOS model stack still selects an
advisory-affected transformers 4.x release.
Installing bare (`--editable .`) is supported and leaves `pdftotext` as the only
usable backend, if poppler is on the system. An extraction attempt with no
backend installed names the extra to install rather than failing silently
(`src/pdf_extraction/extractors.py:extract_single_pdf`).
### Optional GPU backend
For GPU-accelerated extraction on Linux or Windows:
```bash
cd plugins/pdf-extractor && uv tool install --force --editable ".[cpu,gpu]" && cd ../..
# Requires PyTorch; docling downloads models on first use.
extract-pdfs --list-backends # Verify docling appears
```
### Venv Install (alternative — installs into current venv only)
```bash
cd plugins/pdf-extractor && uv pip install -e ".[cpu]" && cd ../..
```
### Development Setup
```bash
cd plugins/pdf-extractor
uv pip install -e ".[dev]" # Adds pytest, pytest-cov, ruff
uv run pytest tests/ -v # Run tests
uv run ruff check src/ tests/ # Run linter
```
## Usage
### CLI Commands
```bash
# Single file extraction
extract-pdfs document.pdf # Output: document.md
extract-pdfs document.pdf output.md # Custom output path
extract-pdfs document.pdf --format txt # Plain text output
# Batch extraction
extract-pdfs ./input-pdfs/ # In-place extraction
extract-pdfs ./input-pdfs/ ./output-dir/ # Different output directory
extract-pdfs ./pdfs/ --no-resume # Re-extract all files
# Backend selection
extract-pdfs doc.pdf --backends markitdown pdfplumber # Specific order
```
### Python API
```python
from pdf_extraction import extract_single_pdf, pdf_to_txt
# Single file
result = extract_single_pdf("document.pdf", "output.md")
print(f"Backend: {result['backend_used']}, Size: {result['output_size_bytes']}")
# Batch with metadata
files, metadata = pdf_to_txt("./pdfs/", "./output/", return_metadata=True)
for pdf, info in metadata.items():
print(f"{pdf}: {info['backend_used']} ({info['extraction_time_seconds']:.2f}s)")
```
### Alternative Execution Methods
```bash
# Module execution
python -m pdf_extraction document.pdf
# Standalone script (no install required)
python src/pdf_extraction/cli.py document.pdf
```
## Available Backends
| Backend | License | Best For | GPU |
|---------|---------|----------|-----|
| markitdown | MIT | General text, forms | No |
| pdfplumber | MIT | Tables, structured data | No |
| pdfminer | MIT | Simple text documents | No |
| pypdf2 | BSD-3 | Basic extraction through maintained `pypdf` | No |
| docling | MIT | Layout analysis | Yes |
| marker | GPL-3.0 | Scanned documents, OCR | Yes |
| pymupdf4llm | AGPL-3.0 | LLM-optimized output | No |
| pdfbox | Apache-2.0 | Tables (Java-based) | No |
| pdftotext | System | Simple text (CLI tool) | No |
Backends are tried in order until one succeeds. Default order is auto-detected based on GPU availability.
## Project Structure
```
pdf-extractor/
├── .claude-plugin/plugin.json # Claude Code plugin manifest
├── pyproject.toml # Package config with uv/pip support
├── uv.lock # Locked dependencies
├── commands/extract.md # Slash command definition
├── skills/pdf-extractor/ # Skill files for Claude
├── src/pdf_extraction/ # Main package
│ ├── __init__.py # Public API exports
│ ├── backends.py # 9 backend extractors
│ ├── extractors.py # extract_single_pdf, pdf_to_txt
│ ├── utils.py # GPU detection, quality metrics
│ └── cli.py # CLI entry point
└── tests/ # pytest test suite
```
## Skill Triggers
The plugin skill activates when you ask to:
- "extract text from PDF"
- "convert PDF to markdown"
- "parse PDF contents"
- "read this PDF file"
- "batch extract PDFs"
## Troubleshooting
### `extract-pdfs: command not found`
```bash
# Install as global UV tool from repo root:
cd plugins/pdf-extractor && uv tool install --force --editable ".[cpu]" && cd ../..
# Verify:
extract-pdfs --list-backends
```
### "No extraction backend installed"
The backends are extras and none is installed. Add one:
```bash
cd plugins/pdf-extractor && uv tool install --force --editable ".[cpu]" && cd ../..
extract-pdfs --list-backends # confirm they moved out of "Supported but not installed"
```
### `ModuleNotFoundError: No module named 'pdf_extraction'` (or 'markitdown', 'pdfplumber')
```bash
# Re-install with the cpu backends:
cd plugins/pdf-extractor && uv tool install --force --editable ".[cpu]" && cd ../..
# If that fails, install explicitly:
uv pip install "markitdown>=0.1.0" "pdfplumber>=0.10.0" "pdfminer.six>=20221105" "pypdf>=6.0.0" tqdm
```
### GPU backend (docling) not available
```bash
# This requires PyTorch; install the optional GPU extra:
cd plugins/pdf-extractor && uv tool install --force --editable ".[cpu,gpu]" && cd ../..
extract-pdfs --list-backends # verify docling appears
# Note: docling downloads models on first use.
```
### Empty output from scanned PDF (image-only document)
```bash
# Scanned PDFs require OCR; docling is in the supported GPU extra:
extract-pdfs scanned.pdf --backends docling
# If GPU unavailable, try pdftotext (system tool):
brew install poppler # macOS
# apt install poppler-utils # Ubuntu/Debian
extract-pdfs scanned.pdf --backends pdftotext
```
### pdfminer import error (package name confusion)
```bash
# Install correct package (name has .six suffix):
uv pip install "pdfminer.six>=20221105"
# Imports correctly as: from pdfminer.high_level import extract_text (no .six)
```
### markitdown version conflict
```bash
# markitdown API changed significantly in 0.1.0; ensure correct version:
uv pip install "markitdown>=0.1.0"
```
### Encrypted PDF
The extractor will warn about encrypted PDFs. Some backends can handle password-free encryption, others will fail. Try different backends with `--backends`.
### Backend not found
```bash
# Check which backends are available:
extract-pdfs --list-backends
# Install supported optional backends:
uv pip install "docling>=2.94.0" pymupdf4llm
```