OptiScan Vision Suite

OptiScan Vision Suite streamlines optical character recognition workflows, delivering clean text extractions from complex menu PDFs and image-based documents.

Features

• Menu-first OCR pipeline tailored for multi-page PDFs and high-resolution imagery.
• Pluggable data storage and filesystem adapters for both local and cloud deployments.
• Validation layer that guards incoming payloads with reusable JSON schemas.
• REST API endpoints for uploading assets, retrieving OCR output, and managing menu slices.

Project Structure

• api/ Express routes, controllers, and OCR utilities.
• samples/ Example menus used for local experimentation.
• spec/ Jasmine specs and supporting configuration.
• server.js Application bootstrap that wires middleware, routes, and error handlers.

Getting Started

1. Copy .env-example to .env and update the variables for your environment.
2. Install dependencies with npm install.
3. Launch the API with npm start and access it at http://localhost:8080.
4. Use your preferred API client to exercise the OCR endpoints documented in api/v1/menus.

Development Tips

• Keep OCR workloads small while iterating to shorten processing time.
• Update JSON schemas in api/lib/schemas when payload contracts evolve.
• Run linting or tests as needed to ensure new routes remain stable.

License

This project is distributed under the MIT License. See LICENSE for details.