receipt-processing

Automating receipt data extraction from uploaded images is handled through an OCR-first pipeline using Tesseract to populate merchant, date, totals, items, and categories, with an optional LLM fallback for complex receipts.

The best way to convert receipt data into reconciled transactions is through a defined status machine that handles end-to-end receipt workflow: upload, inbox review, confirmation, and linking.

Tesseract OCR works with an LLM fallback for complex receipts by attempting structured data extraction first, then falling back to LLM processing to capture merchant, date, totals, items, and categories when OCR results are insufficient.

Tracking corrections and retries during receipt processing is managed through persistence layers that record corrections and enable retries, improving extraction accuracy and maintaining audit trails.

You can review extracted receipt data in an inbox before creating transactions, as the workflow supports inbox review and confirmation steps to verify merchant, date, totals, items, and categories prior to transaction linking.