Flaz is a design automation product focused on eliminating repetitive catalog production. Designers define a layout template once with image slots and text fields; operators upload screenshots or scraped source material, and an OCR pipeline extracts prices, labels, and product attributes into structured data that lands on an editable canvas.

The product spans a browser-based React layout editor with Konva canvas tooling, a FastAPI backend with scan sessions and Tesseract-based extraction, Playwright PNG rendering for final catalog output, and organization-scoped workspaces where the same template generates many variants without manual retyping or re-placing assets.

I built the project as a Full-stack Developer in 4 weeks (May to June 2026) for an internal design team stuck redoing the same catalog layouts by hand. The MVP scope was exactly one workflow: screenshots in, extracted data on an editable canvas out. CMS publishing and social catalog distribution stayed on the roadmap.

Frontend: React, TypeScript, Vite, react-konva, TanStack Query, Tailwind CSS

Backend: Python, FastAPI, SQLAlchemy, Alembic

Extraction: OpenCV, Tesseract OCR, reference-data matching

Rendering: Playwright headless Chromium, Konva render bundle

Data & Infra: PostgreSQL, S3, Docker Compose

Integrations: FastMCP server (19 tools), issued API keys, Streamable HTTP at /mcp