Add filename .pdf extension fallback and %PDF magic bytes validation to
extractManual controller. Update getJobStatus to return 410 Gone for
expired jobs. Add 16 unit tests covering all acceptance criteria.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add POST /api/ocr/extract/manual endpoint that proxies to the Python
OCR service's manual extraction pipeline. Includes Pro tier gating via
document.scanMaintenanceSchedule, PDF-only validation, 200MB file size
limit, and async 202 job response for polling via existing job status
endpoint.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add POST /api/ocr/extract/receipt endpoint that proxies to the Python
OCR service's /extract/receipt for receipt-specific field extraction.
- ReceiptExtractionResponse type with receiptType, extractedFields, rawText
- OcrClient.extractReceipt() with optional receipt_type form field
- OcrService.extractReceipt() with 10MB max, image-only validation
- OcrController.extractReceipt() with file upload and error mapping
- Route with auth middleware
- 9 unit tests covering normal, edge, and error scenarios
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
OCR Service (Python/FastAPI):
- POST /extract for synchronous OCR extraction
- POST /jobs and GET /jobs/{job_id} for async processing
- Image preprocessing (deskew, denoise) for accuracy
- HEIC conversion via pillow-heif
- Redis job queue for async processing
Backend (Fastify):
- POST /api/ocr/extract - authenticated proxy to OCR
- POST /api/ocr/jobs - async job submission
- GET /api/ocr/jobs/:jobId - job polling
- Multipart file upload handling
- JWT authentication required
File size limits: 10MB sync, 200MB async
Processing time target: <3 seconds for typical photos
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
