Contact person: Business Client

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Location: Miami, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a lightweight cloud-based REST API that takes image uploads and returns a neatly compiled PDF.

Supported input formats must include JPEG, PNG, and HEIC. After an image is uploaded the service should automatically:
• Crop to page edges and straighten the page
• Remove shadows, desk background, and reflections
• Adjust brightness/contrast and run basic noise reduction
• Brighten the background to pure white while enhancing text clarity
• Ensure the final page is perfectly rectangular in the output

Once processing is complete the endpoint should merge the cleaned pages (keeping their order) into a single PDF and return the file for immediate download.

I’m looking for an MVP: a small, self-contained codebase deployable to a common cloud platform (Firebase Functions, AWS Lambda, or similar) with clearly documented endpoints and a short README explaining local setup, dependencies, and a sample cURL call. Open-source imaging libraries such as OpenCV, Pillow, or ImageMagick are fine as long as licensing stays permissive.

Deliverables
1. Source code for the API and image-to-PDF pipeline
2. Deployment instructions and environment requirements
3. Postman (or similar) collection demonstrating all endpoints
4. A brief note on how you would extend the service later for additional formats or batch uploads

I’ll test the API with my own images; if the returned PDF pages are clean, properly aligned, and readable, the job is done." (client-provided description)