TMA Extractor

A framework-independent JavaScript/TypeScript package for extracting TMA (Talents Mapping) data from PDF files.

Installation

npm install tma-extractor pdfjs-dist

Usage

import tmaExtractor from 'tma-extractor';

// Extract TMA data from a PDF file
const result = await tmaExtractor(pdfFile, {
  includeSCM: false, // Set to true to include SCM extraction (requires tesseract.js)
  workerSrc: '/path/to/pdf.worker.min.mjs', // Optional PDF.js worker path
  debug: false // Enable debug logging
});

console.log(result.person.talents); // Array of 34 talents
console.log(result.person.strength); // Strength data
console.log(result.person.typology); // 30 typologies with scores
console.log(result.person.personalbranding); // Personal branding data

Features

• Framework Independent: Works with any JavaScript framework or vanilla JS
• Multi-format Support: Supports TMA PDF formats (49, 54, 46, 6 pages)
• TypeScript Support: Full type definitions included
• SCM Extraction: Optional SCM (Strength Cluster Map) extraction with OCR
• Clean API: Simple single function with optional configuration

API Reference

tmaExtractor(file, options?)

Extracts TMA data from a PDF file.

Parameters:

• file: File - PDF file to extract data from
• options?: TmaExtractorConfig - Optional configuration

Returns: Promise<TmaExtractorResult>

Configuration Options

interface TmaExtractorConfig {
  includeSCM?: boolean;          // Include SCM extraction (default: false)
  workerSrc?: string;           // Custom PDF.js worker path
  tesseractWorkerSrc?: string;  // Custom Tesseract worker path
  debug?: boolean;              // Enable debug logging (default: false)
  timeoutMs?: number;           // Extraction timeout (default: 30000)
}

License

MIT