undmsDocument Text & Metadata Extraction
High-performance document processing with built-in similarity comparison
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Multi-Format Support
Extract text from PDF, DOCX, XLSX, images, and plain text files with a unified API
Similarity Comparison
Compare documents against reference texts using Jaccard, N-gram, Levenshtein, or hybrid algorithms
Rich Metadata
Extract format-specific metadata including EXIF data, PDF properties, DOCX statistics, and more
OCR Support
Extract text from images using Tesseract OCR with automatic language detection
Parallel Processing
Documents are processed concurrently using Rayon for maximum performance
TypeScript Support
Full type definitions included with intelligent autocomplete and type safety
Quick Example
Extract text and metadata from documents with a simple function call:
ts
import { extract, computeDocumentSimilarity } from 'undms';
const documents = [
{
name: 'report.pdf',
size: 1024,
type: 'application/pdf',
lastModified: Date.now(),
webkitRelativePath: '',
buffer: Buffer.from(pdfData),
},
];
const result = extract(documents);
console.log(result[0].documents[0].content);
console.log(result[0].documents[0].metadata);Performance
Built with Rust using napi-rs for native Node.js performance:
| Operation | Time |
|---|---|
| Extract 10 PDFs | ~50ms |
| Extract 10 DOCX | ~30ms |
| Extract 10 Images | ~120ms |
| Similarity Check | ~5ms |
Supported Platforms
- Node.js 12.22+ (except 13.x)
- Node.js 14.17+, 15.12+, 16+
- Bun
- Web browsers (via browser.js)
License
MIT License - View on GitHub