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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>
28 lines
413 B
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28 lines
413 B
Plaintext
# API Framework
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fastapi>=0.100.0
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uvicorn[standard]>=0.23.0
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python-multipart>=0.0.6
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pydantic>=2.0.0
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# File Detection & Handling
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python-magic>=0.4.27
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pillow>=10.0.0
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pillow-heif>=0.13.0
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# Image Preprocessing
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opencv-python-headless>=4.8.0
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numpy>=1.24.0
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# OCR Engines
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pytesseract>=0.3.10
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# Redis for job queue
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redis>=5.0.0
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# HTTP client for callbacks
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httpx>=0.24.0
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# Testing
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pytest>=7.4.0
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pytest-asyncio>=0.21.0
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