pdf-reader · git:20260410.b8e38fa · 2026-04-10 · sha256 59361e9e18575566
pdf-reader git:20260410.b8e38faA
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---
name: pdf-reader
description: Analyze PDF files attached by the user. Activates automatically when user uploads a PDF. Handles both text-based and scanned/image-based PDFs using file_read's built-in PDF rendering.
allowed-tools: file_read bash think
---
# PDF Reader
Analyze PDF files using the `file_read` tool which natively supports PDF rendering.
## How file_read handles PDFs
- `file_read` with a `.pdf` path renders pages as images for vision analysis
- Parameters: `offset` = start page (0-based), `limit` = max pages (default 5)
- Each page is rendered at 144 DPI, resized to 1568px max dimension
- Returns image blocks that you can analyze with vision
## Workflow
1. **Read the PDF**: Call `file_read` with the PDF path. It will render pages as images automatically.
```json
{"path": "/path/to/file.pdf"}
```
2. **For multi-page PDFs**: Read in batches using offset and limit.
```json
{"path": "/path/to/file.pdf", "offset": 5, "limit": 5}
```
3. **Analyze the content**: The rendered pages come back as images. Describe what you see — text, tables, charts, forms, signatures, stamps, etc.
4. **Extract text if needed**: For text-heavy PDFs where you need exact content, use bash with python:
```bash
python3 -c "
import subprocess
subprocess.check_call(['pip3', 'install', 'pymupdf', '-q'])
import fitz
doc = fitz.open('/path/to/file.pdf')
for i, page in enumerate(doc):
text = page.get_text()
if text.strip():
print(f'--- Page {i+1} ---')
print(text)
"
```
## Tips
- Always start with `file_read` — it handles both scanned and text PDFs via vision
- For scanned PDFs (image-based), vision analysis through `file_read` is the primary method
- For text PDFs where exact character-level accuracy matters, supplement with python text extraction
- When summarizing, note the total page count and which pages you've analyzed