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# PDF-Text-Extractor
**Extract text from PDFs with OCR support. Zero external dependencies (except PDF.js).**
## Quick Start
```bash
# Install
clawhub install pdf-text-extractor
# Extract text from PDF
cd ~/.openclaw/skills/pdf-text-extractor
node index.js extractText '{"pdfPath":"./document.pdf","options":{"outputFormat":"text"}}'
```
## Usage Examples
### Extract to Text
```javascript
const result = await extractText({
pdfPath: './invoice.pdf',
options: { outputFormat: 'text' }
});
console.log(result.text);
```
### Extract to JSON with Metadata
```javascript
const result = await extractText({
pdfPath: './contract.pdf',
options: {
outputFormat: 'json',
includeMetadata: true
}
});
console.log(result.metadata);
console.log(`Words: ${result.wordCount}`);
```
### Batch Process Multiple PDFs
```javascript
const results = await extractBatch({
pdfFiles: [
'./doc1.pdf',
'./doc2.pdf',
'./doc3.pdf'
]
});
console.log(`Processed ${results.successCount}/${results.results.length} documents`);
```
### Extract with OCR (Scanned Documents)
```javascript
const result = await extractText({
pdfPath: './scanned-doc.pdf',
options: {
ocr: true,
language: 'eng',
ocrQuality: 'high'
}
});
console.log(result.text);
```
### Count Words and Stats
```javascript
const stats = await countWords({
text: result.text,
options: { countByPage: true }
});
console.log(`Total words: ${stats.wordCount}`);
console.log(`Pages: ${stats.pageCounts.length}`);
console.log(`Avg per page: ${stats.averageWordsPerPage}`);
```
### Detect Language
```javascript
const lang = await detectLanguage(text);
console.log(`Language: ${lang.languageName}`);
console.log(`Confidence: ${lang.confidence}%`);
```
## Features
- **Text Extraction:** Extract text from PDFs without external tools
- **OCR Support:** Use Tesseract for scanned documents
- **Batch Processing:** Process multiple PDFs at once
- **Multiple Output Formats:** Text, JSON, Markdown, HTML
- **Word Counting:** Accurate word and character counting
- **Language Detection:** Simple heuristic for common languages
- **Metadata Extraction:** Title, author, creation date
- **Page-by-Page:** Extract text with page structure
- **Zero Config Required:** Works out of the box
## Use Cases
### Document Digitization
- Convert paper documents to digital text
- Process invoices and receipts
- Digitize contracts and agreements
- Archive physical documents
### Content Analysis
- Extract text for analysis tools
- Prepare content for LLM processing
- Clean up scanned documents
- Parse PDF-based reports
### Data Extraction
- Extract data from PDF reports
- Parse tables from PDFs
- Pull structured data
- Automate document workflows
### Text Processing
- Prepare content for translation
- Clean up OCR output
- Extract specific sections
- Search within PDF content
## Configuration
Edit `config.json` to customize:
```json
{
"ocr": {
"enabled": true,
"defaultLanguage": "eng",
"quality": "medium"
},
"output": {
"defaultFormat": "text",
"preserveFormatting": true
},
"batch": {
"maxConcurrent": 3
}
}
```
## Test
```bash
node test.js
```
## Output Formats
### Text
Plain text extraction with newlines between pages.
### JSON
```json
{
"text": "Document text here...",
"pages": 10,
"wordCount": 1500,
"charCount": 8500,
"language": "English",
"metadata": {
"title": "Document Title",
"author": "Author Name",
"creationDate": "2026-02-04"
}
}
```
## Performance
### Text-Based PDFs
- **Speed:** ~100ms for 10-page PDF
- **Accuracy:** 100% (exact text)
### OCR Processing
- **Speed:** ~1-3s per page
- **Accuracy:** 85-95% (depends on scan quality)
## Troubleshooting
### PDF Not Parsing
- Check if file is a valid PDF
- Ensure not password-protected
- Verify PDF.js is installed
### OCR Low Accuracy
- Ensure document language matches OCR language setting
- Try higher quality setting (slower but more accurate)
- Check scan quality (300 DPI+ recommended)
### Slow Processing
- Reduce batch concurrency
- Lower OCR quality for speed
- Process files individually
## Dependencies
```bash
npm install pdfjs-dist
```
## License
MIT
---
**Extract text from PDFs. Fast, accurate, ready to use.** 🔮