// project
OCR Studio
A self-hosted document OCR web service powered by PaddleOCR PPStructureV3. Full-stack AI integration — from GPU infrastructure and Docker deployment to a production-ready web UI with real-time progress tracking.
Why build an OCR service?
Cloud OCR services raise data privacy concerns and don't always handle complex layouts well — tables, formulas, mixed-language documents. I needed a self-hosted solution with full control over the pipeline and the ability to fine-tune recognition quality.
This project is a practical exercise in AI/ML integration: deploying neural network models on GPU infrastructure, building a Python backend around them, and connecting everything to a responsive TypeScript frontend.
Highlights
GPU-powered AI
PaddleOCR PPStructureV3 with NVIDIA GPU acceleration. Recognizes tables, formulas, and complex document layouts.
Self-hosted
Runs entirely on your hardware via Docker Compose. No data leaves your network — full privacy and control.
Markdown & DOCX export
Lossless export to Markdown (canonical format), TXT, and DOCX. Custom converter without Pandoc dependency.
Real-time progress
Per-page, per-stage progress tracking with sub-model callbacks — not simulated, but reflecting actual pipeline state.
Tech stack
Contact
Let's talk
Open to advisory, fractional CTO, and strategic technology consulting engagements.
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