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feat: add core OCR API integration (refs #65)
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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>
This commit is contained in:
Eric Gullickson
2026-02-01 16:02:11 -06:00
parent 94e49306dc
commit 852c9013b5
25 changed files with 1931 additions and 3 deletions
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5
ocr/app/config.py
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@@ -11,5 +11,10 @@ class Settings:
self.port: int = int(os.getenv("PORT", "8000"))
self.tesseract_cmd: str = os.getenv("TESSERACT_CMD", "/usr/bin/tesseract")
# Redis configuration for job queue
self.redis_host: str = os.getenv("REDIS_HOST", "mvp-redis")
self.redis_port: int = int(os.getenv("REDIS_PORT", "6379"))
self.redis_db: int = int(os.getenv("REDIS_DB", "1"))
settings = Settings()