Archived. I built this in college while learning web development, and it has served its purpose. The live app is down and the project is no longer maintained.

ScriptScribe

Extract, Summarize, Export

A web app to extract text from images via OCR and generate summaries, with secure user auth.

Features

• OCR: upload an image and get the text back (Tesseract)
• Summaries: extractive, with an adjustable length (NLTK)
• Export: copy to clipboard or download as PDF
• Auth: signup and login, with JWT sessions kept in a cookie

Stack

Python, Flask, MongoDB, HTML, CSS, JavaScript, Docker, Kubernetes, GitHub Actions

Setup

• Frontend: static HTML/CSS/JS served from a container.
• Backend: Flask under gunicorn, in a multi-stage image with a bundled Tesseract and NLTK data, dependencies managed with uv.
• Database: MongoDB as a StatefulSet with a persistent volume.
• CI/CD: a GitHub Actions workflow builds multi-arch images (amd64/arm64) with SBOMs, pushes them to GHCR, scans them with Trivy (critical CVEs block the deploy), then commits the new image tags to the k8s manifests.
• Kubernetes: Kustomize manifests for all three services, secrets stored as a SealedSecret, and an HTTPRoute behind a Traefik gateway.
• Network policies: default-deny with explicit allows. The gateway reaches the frontend and backend, the backend reaches MongoDB and DNS, and nothing else gets in or out.
• Local: docker-compose up runs the whole stack.

Screenshots