🔥
5d • General Discussion 💬
OCR Accuracy Crisis Solved with Intelligent Routing
Lost 3 clients in 2 weeks. All citing "terrible OCR accuracy." My Mistral OCR was hitting 67% on real-world documents.
THE ACCURACY DISASTER
Client #1: Medical forms - 67% accuracy on handwritten intake forms
Client #2: Invoice processing - 71% accuracy on faded receipts
Client #3: Contract analysis - 69% accuracy on complex tables
Three cancellation emails in one week. Revenue drop from $8,400 to $2,100/month.
THE BREAKTHROUGH WORKFLOW (n8n)
Instead of forcing one OCR solution, built intelligent routing:
Node 1: Document classifier (determines complexity)
Node 2: Quality assessment (resolution, clarity, text density)
Node 3: Routing logic with 4 paths:
- Clean PDFs → Mistral OCR (fast, cheap)
- Scanned documents → Enhanced parsing API
- Tables/forms → Structured extraction
- Handwriting → AI-powered processing
Node 4: Confidence scoring and validation
Node 5: Automatic retry with different method if under 85%
THE IMMEDIATE RESULTS
Reprocessed all failed documents:
- Medical forms: 67% → 98.9% accuracy
- Invoices: 71% → 99.4% accuracy
- Contracts: 69% → 98.7% accuracy
All three clients returned. Now processing 15,000+ documents monthly.
CURRENT WORKFLOW PERFORMANCE
- Overall accuracy: 98.8%
- Processing speed: 2.1 seconds average
- Monthly API costs: $89 (was $340 for worse results)
- Client retention: 100% past 6 months
The lesson: OCR isn't broken. Using the wrong OCR for the job is broken.
What document type kills your current OCR accuracy?
14
16 comments
OCR Accuracy Crisis Solved with Intelligent Routing
skool.com/ai-automation-society
A community for mastering AI-driven automation and AI agents. Learn, collaborate, and optimize your workflows!
Leaderboard (30-day)
1
🔥
+3125
2
+873
3
+748
4
+524
5
🔥
+449
Powered by