PDF reader skill using PyMuPDF (fitz) for text extraction and metadata retrieval. Supports encrypted PDFs and handles large documents efficiently.
Scanned 9/12/2026
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---
name: iyeque-pdf-reader
description: PDF reader skill using PyMuPDF (fitz) for text extraction and metadata retrieval. Supports encrypted PDFs and handles large documents efficiently.
tags: [pdf, reader, text-extraction, metadata, pymupdf]
version: 1.0.0
author: iyeque
source: https://clawhub.ai/iyeque/iyeque-pdf-reader
requirements:
- PyMuPDF (fitz)
install: pip install pymupdf
---
# PDF Reader (Iyeque)
PDF reader skill for text extraction and metadata retrieval using PyMuPDF.
---
## Installation
```bash
pip install pymupdf
```
---
## Tool API
The skill provides two commands:
### 1. extract — Extract Text
Extracts plain text from the specified PDF file.
**Parameters:**
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `file_path` | string | ✅ | Path to the PDF file |
| `--max_pages` | integer | ❌ | Maximum number of pages to extract |
**Usage:**
```bash
# Extract all text
python3 skills/pdf-reader/reader.py extract /path/to/document.pdf
# Extract first 5 pages only
python3 skills/pdf-reader/reader.py extract /path/to/document.pdf --max_pages 5
```
**Output:** Plain text content from the PDF.
---
### 2. metadata — Get Document Info
Retrieve metadata about the document.
**Parameters:**
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `file_path` | string | ✅ | Path to the PDF file |
**Usage:**
```bash
python3 skills/pdf-reader/reader.py metadata /path/to/document.pdf
```
**Output:** Structured JSON with document metadata.
---
## Metadata Fields
| Field | Description |
|-------|-------------|
| `title` | Document title |
| `author` | Document author |
| `subject` | Document subject |
| `creator` | Software that created the PDF |
| `producer` | PDF producer software |
| `creationDate` | Creation date |
| `modDate` | Modification date |
| `format` | PDF format version |
| `encryption` | Encryption info (if any) |
---
## Example Output
### Extract Output
```
Plain text content from the PDF...
```
### Metadata Output
```json
{
"title": "Annual Report 2024",
"author": "John Doe",
"creationDate": "D:20240115120000Z",
"creator": "Microsoft Word",
"producer": "Adobe PDF Library",
"format": "PDF 1.7"
}
```
---
## Features
- **Fast extraction** using PyMuPDF (fitz)
- **Metadata retrieval** including creation/modification dates
- **Page limiting** with `--max_pages` for large documents
- **Encrypted PDF support** (password required if applicable)
- **Error handling** for corrupted or malformed PDFs
---
## When to Use This Skill
- Extract text content from PDF files
- Get document metadata (title, author, dates)
- Process multiple PDFs for analysis
- Quick PDF content preview
- Academic paper text extraction
---
## Python API Alternative
You can also use PyMuPDF directly in Python:
```python
import fitz # PyMuPDF
# Open PDF
doc = fitz.open("document.pdf")
# Get metadata
print(doc.metadata)
# Extract text from all pages
for page in doc:
text = page.get_text()
print(text)
# Extract from specific page
page = doc[0] # First page (0-indexed)
text = page.get_text()
```
---
## Notes
- Uses PyMuPDF (imported as `fitz`) for fast, reliable PDF processing
- Supports encrypted PDFs (will modify if password required)
- Handles large PDFs efficiently with `--max_pages` option
- Returns error message if file not found or invalid PDF
---
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| File not found | Invalid path | Check file path |
| Not a valid PDF | Corrupted file | Verify file integrity |
| Encrypted PDF | Password protected | Provide password if required |
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