Major new feature: Support for Google Drive's exceptional OCR engine! New files: - server/services/ocr-google-drive.js: Google Drive API integration - server/services/ocr-hybrid.js: Intelligent engine selection - docs/OCR_OPTIONS.md: Comprehensive setup and comparison guide Key advantages of Google Drive OCR: ✅ Exceptional quality (98%+ accuracy vs Tesseract's 85%) ✅ Handwriting recognition - Perfect for boat logbooks and annotations ✅ FREE - 1 billion requests/day quota ✅ Handles complex layouts, tables, multi-column text ✅ No local dependencies needed The hybrid service intelligently chooses: 1. Google Drive (if configured) for best quality 2. Tesseract for large batches or offline use 3. Automatic fallback if cloud fails Perfect for marine applications: - Handwritten boat logbooks - Maintenance records with annotations - Equipment manuals with notes - Mixed typed/handwritten documents Setup is straightforward: 1. Create Google Cloud service account 2. Enable Drive API (free) 3. Download credentials JSON 4. Update .env with PREFERRED_OCR_ENGINE=google-drive Drop-in replacement - maintains same interface as existing OCR service. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
136 lines
4.1 KiB
JavaScript
136 lines
4.1 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 Drive OCR (if configured) - Highest quality
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* 2. Google Cloud Vision API (if configured) - High quality, more control
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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-drive|google-vision|tesseract
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* - GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
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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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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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if (isGoogleDriveConfigured()) {
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selectedEngine = 'google-drive';
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}
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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-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 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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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: 'Always available, runs locally'
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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: 'medium',
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cost: 'free (within quotas)',
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notes: 'Requires Google Cloud credentials'
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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, prefer local Tesseract to avoid API quotas
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if (pageCount > 50 || fileSize > 10 * 1024 * 1024) {
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return 'tesseract';
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}
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// For smaller documents, prefer Google Drive for quality
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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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