Invoice & receipt extraction

Start with representative data

Invoice images, PDFs, and reviewed field annotations, covering representative suppliers and layouts.

Choose the smallest effective approach

Compare OCR plus a text model with a suitable vision model. Fine-tune only when it improves the measured task; validate schema and totals outside the model.

Evaluate on unseen cases

Field-level precision and recall, document-level completeness, schema validity, arithmetic checks, and human review time.

Define the boundary

Review low-confidence fields and unusual layouts. A small text-only model does not read raw images without an appropriate document-processing pipeline.

What the engagement delivers

An agreed baseline, data and model selection record, permitted checkpoint or adapter where training is justified, evaluation report, and a deployment recipe. Timeline, hardware, retention, and acceptance criteria are agreed during scoping.