pdf2image requires poppler-utils which is not installed in the OCR
container. PyMuPDF is already in requirements.txt and can render PDF
pages to PNG at 300 DPI natively without extra system dependencies.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The receipt extractor only accepted image MIME types, rejecting PDFs at
the OCR layer. Added application/pdf to supported types and PDF-to-image
conversion (first page at 300 DPI) before OCR preprocessing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace direct pytesseract calls with OcrEngine interface in vin_extractor.py,
receipt_extractor.py, and ocr_service.py. PSM mode fallbacks replaced with
engine-agnostic single-line/single-word configs. Dead _process_ocr_data removed.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implement receipt-specific OCR extraction for fuel receipts:
- Pattern matching modules for date, currency, and fuel data extraction
- Receipt-optimized image preprocessing for thermal receipts
- POST /extract/receipt endpoint with field extraction
- Confidence scoring per extracted field
- Cross-validation of fuel receipt data
- Unit tests for all pattern matchers
Extracted fields: merchantName, transactionDate, totalAmount,
fuelQuantity, pricePerUnit, fuelGrade
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
