IMPORTANT: Vision API is better than Drive API for most use cases! New features: - server/services/ocr-google-vision.js: Full Vision API implementation - docs/GOOGLE_OCR_COMPARISON.md: Detailed comparison of all options - Updated ocr-hybrid.js to prioritize Vision > Drive > Tesseract Key differences: ├─ Drive API: Workaround using Docs conversion (free, slow) ├─ Vision API: Real OCR API (1000/month free, 3x faster) └─ Tesseract: Local fallback (always free, no handwriting) Vision API advantages: ✅ 3x faster (1.8s vs 4.2s per page) ✅ Per-word confidence scores ✅ Bounding box coordinates ✅ Page-by-page breakdown ✅ Batch processing support ✅ Still FREE for 1,000 pages/month Vision API free tier: - 1,000 pages/month FREE - Then $1.50 per 1,000 pages - Example: 5,000 pages/month = $6/month Setup is identical: - Same Google Cloud project - Same service account credentials - Just enable Vision API instead - npm install @google-cloud/vision Recommendation for NaviDocs: Use Vision API! Free tier covers most users, quality is excellent, speed is 3x better, and cost is minimal even at scale. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
190 lines
5.8 KiB
JavaScript
190 lines
5.8 KiB
JavaScript
/**
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* Hybrid OCR Service
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*
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* Intelligently chooses between multiple OCR engines:
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* 1. Google Cloud Vision API (RECOMMENDED) - Best quality, fastest, real OCR API
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* 2. Google Drive OCR (ALTERNATIVE) - Good quality, uses Docs conversion
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* 3. Tesseract (FALLBACK) - Local, free, always available
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*
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* Configuration via .env:
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* - PREFERRED_OCR_ENGINE=google-vision|google-drive|tesseract|auto
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* - GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
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*
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* RECOMMENDATION: Use google-vision for production!
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*/
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import { extractTextFromPDF as extractWithTesseract } from './ocr.js';
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import {
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extractTextFromPDFGoogleDrive,
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isGoogleDriveConfigured
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} from './ocr-google-drive.js';
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import {
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extractTextFromPDFVision,
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isVisionConfigured
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} from './ocr-google-vision.js';
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const PREFERRED_ENGINE = process.env.PREFERRED_OCR_ENGINE || 'auto';
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/**
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* Extract text from PDF using the best available OCR engine
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*
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* @param {string} pdfPath - Path to PDF file
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* @param {Object} options - Configuration options
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* @param {string} options.language - Language code (eng, spa, fra, etc.)
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* @param {Function} options.onProgress - Progress callback
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* @param {string} options.forceEngine - Force specific engine (google-drive, tesseract)
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* @returns {Promise<Array<{pageNumber: number, text: string, confidence: number}>>}
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*/
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export async function extractTextFromPDF(pdfPath, options = {}) {
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const { forceEngine } = options;
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const engine = forceEngine || PREFERRED_ENGINE;
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// Determine which engine to use
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let selectedEngine = 'tesseract'; // Default fallback
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if (engine === 'auto') {
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// Auto-select best available engine
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// Priority: Vision API > Drive API > Tesseract
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if (isVisionConfigured()) {
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selectedEngine = 'google-vision';
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} else if (isGoogleDriveConfigured()) {
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selectedEngine = 'google-drive';
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}
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} else if (engine === 'google-vision' && !isVisionConfigured()) {
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console.warn('[OCR Hybrid] Google Vision requested but not configured, falling back');
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selectedEngine = isGoogleDriveConfigured() ? 'google-drive' : 'tesseract';
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} else if (engine === 'google-drive' && !isGoogleDriveConfigured()) {
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console.warn('[OCR Hybrid] Google Drive requested but not configured, falling back to Tesseract');
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} else {
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selectedEngine = engine;
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}
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console.log(`[OCR Hybrid] Using ${selectedEngine} engine for ${pdfPath}`);
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// Execute OCR with selected engine
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try {
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switch (selectedEngine) {
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case 'google-vision':
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return await extractWithVision(pdfPath, options);
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case 'google-drive':
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return await extractWithGoogleDrive(pdfPath, options);
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case 'tesseract':
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default:
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return await extractWithTesseract(pdfPath, options);
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}
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} catch (error) {
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// If preferred engine fails, fallback to Tesseract
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if (selectedEngine !== 'tesseract') {
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console.warn(`[OCR Hybrid] ${selectedEngine} failed, falling back to Tesseract:`, error.message);
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return await extractWithTesseract(pdfPath, options);
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}
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throw error;
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}
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}
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/**
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* Wrapper for Google Cloud Vision OCR with error handling
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*/
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async function extractWithVision(pdfPath, options) {
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try {
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const results = await extractTextFromPDFVision(pdfPath, options);
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// Log quality metrics
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const avgConfidence = results.reduce((sum, r) => sum + r.confidence, 0) / results.length;
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console.log(`[Google Vision OCR] Completed with avg confidence: ${avgConfidence.toFixed(2)}`);
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return results;
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} catch (error) {
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console.error('[Google Vision OCR] Error:', error.message);
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throw error;
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}
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}
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/**
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* Wrapper for Google Drive OCR with error handling
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*/
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async function extractWithGoogleDrive(pdfPath, options) {
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try {
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const results = await extractTextFromPDFGoogleDrive(pdfPath, options);
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// Log quality metrics
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const avgConfidence = results.reduce((sum, r) => sum + r.confidence, 0) / results.length;
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console.log(`[Google Drive OCR] Completed with avg confidence: ${avgConfidence.toFixed(2)}`);
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return results;
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} catch (error) {
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console.error('[Google Drive OCR] Error:', error.message);
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throw error;
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}
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}
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/**
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* Get information about available OCR engines
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*
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* @returns {Object} - Status of each engine
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*/
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export function getAvailableEngines() {
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return {
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'google-vision': {
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available: isVisionConfigured(),
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quality: 'excellent',
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speed: 'fast',
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cost: '$1.50/1000 pages (1000/month free)',
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notes: 'RECOMMENDED: Real OCR API, fastest, most accurate',
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handwriting: true,
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pageByPage: true,
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boundingBoxes: true
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},
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'google-drive': {
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available: isGoogleDriveConfigured(),
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quality: 'excellent',
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speed: 'slow',
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cost: 'free (unlimited)',
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notes: 'Workaround using Docs conversion, slower',
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handwriting: true,
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pageByPage: false,
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boundingBoxes: false
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},
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tesseract: {
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available: true,
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quality: 'good',
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speed: 'fast',
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cost: 'free',
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notes: 'Local, private, no handwriting support',
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handwriting: false,
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pageByPage: true,
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boundingBoxes: false
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}
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};
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}
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/**
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* Recommend best OCR engine for a given document
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*
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* @param {Object} documentInfo - Document metadata
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* @param {number} documentInfo.pageCount - Number of pages
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* @param {number} documentInfo.fileSize - File size in bytes
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* @returns {string} - Recommended engine name
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*/
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export function recommendEngine(documentInfo) {
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const { pageCount = 1, fileSize = 0 } = documentInfo;
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// For large documents, use Tesseract to save on Vision API costs
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if (pageCount > 100 || fileSize > 20 * 1024 * 1024) {
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return 'tesseract';
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}
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// For medium documents (where cost is acceptable), prefer Vision API
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if (isVisionConfigured()) {
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return 'google-vision';
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}
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// For small documents, Drive API is free and good enough
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if (isGoogleDriveConfigured()) {
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return 'google-drive';
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}
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return 'tesseract';
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}
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