March 2, 2026 7 min read
OCR Receipts API Guide: Extract Line Items Reliably
A field-level playbook for receipts with noise, skew, and multi-language text.
Receipt OCR quality depends on image cleanup and strict post-processing. Start with DPI and segmentation tuning, then normalize extracted values.
Accuracy strategy
- Target 200–300 DPI equivalent
- Crop borders and remove background shadows
- Use language packs explicitly
- Apply regex normalization for totals and dates
Field mapping
Map `merchant`, `txn_date`, `subtotal`, `tax`, `tip`, `grand_total`, and `currency`. Keep confidence score thresholds per field.
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