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5h • General Discussion 💬
OCR Routing Saved Three Clients About to Cancel
Lost 3 clients in 2 weeks because my Mistral OCR was hitting 67% accuracy on their real documents.
THE ACCURACY DISASTER
Medical forms: 67% accuracy on handwritten intake
Invoices: 71% on faded receipts
Contracts: 69% on complex tables
Three cancellation emails. Revenue dropped from $8,400 to $2,100/month in one week.
THE n8n ROUTING FIX
Built intelligent document router instead of forcing one OCR:
Document classifier node checks complexity
Quality scorer checks resolution and clarity
Router sends to 4 different processing paths based on document type
Confidence validator triggers retry if under 85%
Clean PDFs go to fast cheap OCR
Scanned documents get enhanced parsing
Tables use structure-preserving extraction
Handwriting gets AI processing
IMMEDIATE RESULTS
Medical forms: 67% to 98.9% accuracy
Invoices: 71% to 99.4%
Contracts: 69% to 98.7%
All three clients came back. Now processing 15,000+ documents monthly at 98.8% overall accuracy.
Current performance: 2.1 seconds average processing, $89 monthly API costs (was $340 for worse results), 100% client retention past 6 months.
The lesson: OCR isn't broken. Using wrong OCR for the document type is broken.
What document type kills your current OCR accuracy?
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OCR Routing Saved Three Clients About to Cancel
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