Overview
A company receives 2,000 physical forms per month — insurance claims, patient intake forms, inspection reports with handwritten notes. Each form is scanned to PDF. The scanned image contains the information, but it is trapped in pixels — unsearchable, unqueryable, and unprocessable. Manual data entry costs €8 per form (€16K/month) and introduces 3-5% transcription errors. OCR automation reduces cost to €0.50 per form and, with proper validation, reduces errors to below 1%.
The OCR & Handwriting Recognition Pipeline converts physical and scanned documents into structured digital text — handling printed text, handwritten entries, checkboxes, signatures, and tables with per-field confidence scoring and human-in-the-loop verification for low-confidence extractions.
What you get: - Image pre-processing pipeline (deskew, denoise, contrast enhancement) - OCR engine selection and configuration per document type - Handwriting recognition for form fields - Confidence scoring per character, word, and field - Validation rules and human review workflow - Accuracy measurement and continuous improvement
Built for: organizations processing physical or scanned documents where manual data entry is expensive and error-prone — where OCR automation reduces both cost and errors simultaneously.