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