feat: Core OCR API Integration (#65) #74

2026-02-01T22:02:31Z

egullickson commented

2026-02-01 22:02:31 +00:00

Summary

Implements OCR service endpoints (POST /extract, POST /jobs, GET /jobs/{job_id})
Creates backend proxy routes with JWT authentication
Adds image preprocessing (deskew, denoise) for improved accuracy
Integrates Redis job queue for async processing of large files
Supports HEIC, JPEG, PNG, and PDF file formats

Changes

OCR Service (Python/FastAPI)

ocr/app/models/schemas.py - Pydantic models for request/response validation
ocr/app/services/preprocessor.py - Image preprocessing (deskew, denoise)
ocr/app/services/ocr_service.py - Core OCR logic with Tesseract and HEIC support
ocr/app/services/job_queue.py - Redis-based async job management
ocr/app/routers/extract.py - Sync extraction endpoint
ocr/app/routers/jobs.py - Async job submission and polling

Backend (Fastify)

backend/src/features/ocr/ - Complete feature capsule following project patterns
HTTP client for internal OCR service communication
Domain service with validation and business logic
Routes registered with JWT authentication

Infrastructure

Updated docker-compose.yml for Redis network access
Added form-data dependency to backend
Updated .gitignore for Python cache files

Test Plan

OCR service builds and starts successfully
Health check passes at /health
POST /api/ocr/extract accepts image and returns OCR result
Supports HEIC, JPEG, PNG formats
Async job submission and polling works
Authentication required for all endpoints
Processing time <3 seconds for typical photos

Fixes #65

## Summary - Implements OCR service endpoints (POST /extract, POST /jobs, GET /jobs/{job_id}) - Creates backend proxy routes with JWT authentication - Adds image preprocessing (deskew, denoise) for improved accuracy - Integrates Redis job queue for async processing of large files - Supports HEIC, JPEG, PNG, and PDF file formats ## Changes ### OCR Service (Python/FastAPI) - `ocr/app/models/schemas.py` - Pydantic models for request/response validation - `ocr/app/services/preprocessor.py` - Image preprocessing (deskew, denoise) - `ocr/app/services/ocr_service.py` - Core OCR logic with Tesseract and HEIC support - `ocr/app/services/job_queue.py` - Redis-based async job management - `ocr/app/routers/extract.py` - Sync extraction endpoint - `ocr/app/routers/jobs.py` - Async job submission and polling ### Backend (Fastify) - `backend/src/features/ocr/` - Complete feature capsule following project patterns - HTTP client for internal OCR service communication - Domain service with validation and business logic - Routes registered with JWT authentication ### Infrastructure - Updated docker-compose.yml for Redis network access - Added form-data dependency to backend - Updated .gitignore for Python cache files ## Test Plan - [ ] OCR service builds and starts successfully - [ ] Health check passes at /health - [ ] POST /api/ocr/extract accepts image and returns OCR result - [ ] Supports HEIC, JPEG, PNG formats - [ ] Async job submission and polling works - [ ] Authentication required for all endpoints - [ ] Processing time <3 seconds for typical photos Fixes #65

egullickson added 1 commit 2026-02-01 22:02:32 +00:00

feat: add core OCR API integration (refs #65 )

Deploy to Staging / Build Images (pull_request) Successful in 5m59s

Details

Deploy to Staging / Deploy to Staging (pull_request) Successful in 31s

Details

Deploy to Staging / Verify Staging (pull_request) Successful in 2m19s

Details

Deploy to Staging / Notify Staging Ready (pull_request) Successful in 7s

Details

Deploy to Staging / Notify Staging Failure (pull_request) Has been skipped

Details

852c9013b5

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 <[email protected]>

egullickson merged commit 004940b013 into main

2026-02-02 01:17:25 +00:00

egullickson deleted branch issue-65-core-ocr-api

2026-02-02 01:17:25 +00:00

egullickson referenced this issue from a commit

2026-02-02 01:17:26 +00:00

Merge pull request 'feat: Core OCR API Integration (#65)' (#74) from issue-65-core-ocr-api into main

Sign in to join this conversation.

1 Participants

Notifications

Due Date

No due date set.

Dependencies

No dependencies set.

Reference: egullickson/motovaultpro#74