Two local, GPU-backed tools that talk to a local ollama server (no cloud, no API key): - receipt_ocr.py: receipt image -> ordered list of rows of text, via Qwen2.5-VL 7B. Zero deps (stdlib + ollama HTTP API). - receipt_group.py: OCR rows -> structured receipt (store, line items with multi-row details merged, total, metadata), via Mistral Small 24B. Detail rows are attached by arithmetic reconciliation, not position; a prompt completeness clause guards against dropped rows; a deterministic --json reconciliation pass audits item math, subtotal/total, and unit count. README documents setup, an ollama operating runbook, and design rationale. Includes the ALDI example image + its OCR rows. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
438 KiB
1152x2048px
438 KiB
1152x2048px