AI OCR PDF Processing Tool – MVP

I’m looking for an experienced developer to build a focused MVP for a PDF processing tool.

The system should handle PDF files only and include:

1. OCR Layer

* Accurate text extraction from scanned and digital PDFs
* Support for Hebrew and English
* Searchable text output
* Option to use cloud OCR or local/edge OCR

2. Export Options

* Export extracted PDF content to:
* Word
* Excel
* HTML
* Preserve the original layout, tables, structure and styling as much as possible

3. PDF Rebuild

* Ability to generate a clean PDF output again after processing/exporting
* Maintain quality and readability

4. Simple User Interface
Preferred options:

* Electron
* Flutter
* React Native
* Web app

Open to your recommendation.

5. Deliverables

* Working MVP
* Clean, extendable code
* Basic documentation
* Installation/setup instructions
* Short explanation of OCR libraries/services used

Possible technologies:

* Tesseract
* Google Vision
* Azure Document Intelligence
* AWS Textract
* PaddleOCR
* Python OCR libraries

Milestones:

1. OCR prototype using sample PDF files
2. Export layer to Word, Excel and HTML
3. Simple UI and beta version

Acceptance Test:
The system receives a PDF file, extracts at least 95% of the readable text, and exports Word, Excel and HTML files while preserving the original structure as much as possible.

Please include:

* Similar projects you have built
* Recommended OCR approach
* Estimated timeline and cost
* Any limitations you expect

This is for an internal business tool, so the first version should be practical, reliable and easy to test.