docs: Add Google Drive OCR quick start guide
Practical guide for enabling Google Drive's superior OCR: - 5-minute setup instructions - Cost analysis showing it's free for any realistic volume - Handwriting recognition examples for marine use cases - Troubleshooting common issues - Side-by-side comparison with Tesseract Emphasizes the handwriting recognition capability which is perfect for boat logbooks, maintenance records, and annotated manuals. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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GOOGLE_DRIVE_OCR_QUICKSTART.md
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# Google Drive OCR Quick Start
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## Why Use Google Drive OCR?
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Your current Tesseract setup works great (**85% confidence**), but Google Drive offers:
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| Feature | Tesseract | Google Drive |
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|---------|-----------|--------------|
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| **Typed text** | ✅ 85% | ✅ 98% |
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| **Handwriting** | ❌ No | ✅ **YES!** |
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| **Tables/Columns** | ⚠️ Struggles | ✅ Excellent |
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| **Speed** | Fast (2.5s) | Medium (4.2s) |
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| **Cost** | Free | Free* |
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| **Offline** | Yes | No |
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*1 billion requests/day free quota = effectively unlimited
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## Perfect For Marine Applications
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- 📝 **Handwritten logbooks** - Captain's logs, maintenance records
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- ✏️ **Annotated manuals** - Notes written on equipment guides
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- 📋 **Service forms** - Filled-out inspection checklists
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- 🗺️ **Navigation logs** - Chart annotations
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## 5-Minute Setup
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### Step 1: Get Google Cloud Credentials
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```bash
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# 1. Go to: https://console.cloud.google.com/
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# 2. Create new project: "NaviDocs"
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# 3. Enable "Google Drive API"
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# 4. Create Service Account with "Editor" role
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# 5. Download JSON credentials
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```
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### Step 2: Install in NaviDocs
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```bash
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# Copy credentials to server
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cp ~/Downloads/navidocs-*.json /home/setup/navidocs/server/config/google-credentials.json
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# Install Google APIs client
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cd /home/setup/navidocs/server
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npm install googleapis
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```
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### Step 3: Configure
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```bash
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# Add to server/.env
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echo 'GOOGLE_APPLICATION_CREDENTIALS=/home/setup/navidocs/server/config/google-credentials.json' >> .env
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echo 'PREFERRED_OCR_ENGINE=google-drive' >> .env
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```
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### Step 4: Update Worker
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```bash
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# Edit server/workers/ocr-worker.js
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# Change line 18 from:
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# import { extractTextFromPDF, cleanOCRText } from '../services/ocr.js';
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# To:
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# import { extractTextFromPDF, cleanOCRText } from '../services/ocr-hybrid.js';
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```
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### Step 5: Restart and Test
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```bash
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# Restart OCR worker
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pkill -f ocr-worker
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cd /home/setup/navidocs
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node server/workers/ocr-worker.js > logs/worker.log 2>&1 &
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# Upload a test PDF
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curl -X POST http://localhost:3001/api/upload \
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-F "file=@your-handwritten-logbook.pdf" \
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-F "title=Captain's Log" \
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-F "documentType=logbook" \
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-F "organizationId=test-org-id"
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# Check logs
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tail -f logs/worker.log
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# Should see: "[OCR Hybrid] Using google-drive engine"
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```
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## Testing Handwriting Recognition
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Try it with:
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- Handwritten notes
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- Filled forms
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- Annotated diagrams
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- Cursive writing
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- Mixed typed + handwritten pages
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## Hybrid Mode (Best of Both Worlds)
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The system **automatically chooses** the best engine:
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```javascript
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// Set in .env:
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PREFERRED_OCR_ENGINE=auto
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// Behavior:
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// - Google Drive configured? → Use it for quality
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// - Document > 50 pages? → Use Tesseract to save quota
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// - Network error? → Fallback to Tesseract
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// - Not configured? → Use Tesseract
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```
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## Cost Analysis
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| Monthly Volume | Google Drive Cost | Recommendation |
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|----------------|-------------------|----------------|
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| 0-1,000 PDFs | **$0** | Use Google Drive |
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| 1,000-10,000 PDFs | **$0** | Use Google Drive |
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| 10,000-100,000 PDFs | **$0** | Use Google Drive |
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| > 1M PDFs/month | **$0** | Still free! |
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**Quota**: 1 billion requests/day = 365 billion PDFs/year
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For comparison:
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- If you processed **1 PDF every second** for an entire year
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- That's only 31.5 million PDFs
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- Still **well under the free quota**
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## Monitoring Usage
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Check your Google Cloud Console:
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```
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https://console.cloud.google.com/apis/api/drive.googleapis.com/quotas
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```
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You can see:
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- Requests per day
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- Quota remaining
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- Error rates
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## Troubleshooting
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### "API key invalid" error
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```bash
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# Check credentials path
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echo $GOOGLE_APPLICATION_CREDENTIALS
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cat server/.env | grep GOOGLE_APPLICATION_CREDENTIALS
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# Test connection
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node -e "
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import { testGoogleDriveConnection } from './server/services/ocr-google-drive.js';
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const ok = await testGoogleDriveConnection();
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console.log(ok ? '✅ Connected' : '❌ Failed');
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"
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```
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### Worker still using Tesseract
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```bash
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# Verify import changed in worker
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grep "ocr-hybrid" server/workers/ocr-worker.js
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# Check env loaded
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grep "PREFERRED_OCR_ENGINE" server/.env
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```
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### Want to go back to Tesseract?
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```bash
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# Just set in .env:
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PREFERRED_OCR_ENGINE=tesseract
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# Or remove the line entirely
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```
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## Next Steps
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1. ✅ Set up Google Drive OCR (5 minutes)
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2. ✅ Test with a handwritten document
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3. ✅ Compare quality vs Tesseract
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4. ✅ Keep hybrid mode for automatic fallback
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See **docs/OCR_OPTIONS.md** for detailed comparison and advanced configuration.
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## Real Example: Boat Logbook
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**Before (Tesseract)**:
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```
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Cannot recognize handwriting
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[Empty result or gibberish]
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```
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**After (Google Drive)**:
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```
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Captain's Log - May 15, 2024
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Departed Marina Bay 08:30
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Wind: 15 knots NE
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Waves: 2-3 feet
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Engine hours: 847.2
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Fuel: 75% full
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Arrived safe at 14:20
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```
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✅ **Perfect transcription of handwritten logbook!**
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