Docling Studio

A visual document analysis studio powered by Docling.

Upload a PDF, configure the extraction pipeline, and visualize the results — text, tables, images, formulas, bounding boxes — all from your browser.

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Features

PDF viewer with page navigation, bounding box overlay, and resizable results panel
Configurable Docling pipeline — OCR, table extraction, code/formula enrichment, picture classification & description, image generation
Bounding box visualization — color-coded element overlay directly on the PDF
Chunking — split extracted content into semantic chunks (hierarchical, hybrid, or page-based) with configurable token limits
Markdown & HTML export of extracted content
Document management — upload, list, delete
Analysis history — re-visit and open past analyses
Feature flags — capabilities adapt to the conversion engine (local vs remote)
Rate limiting — 60 requests per minute per IP to protect the backend
Deployment modes — self-hosted (default) or HuggingFace Spaces (with disclaimer banner)
Health endpoint — /api/health reports engine type, deployment mode, and database status
Dark / Light theme and FR / EN localization

Layer	Stack
Frontend	Vue 3, TypeScript, Vite, Pinia
Backend	FastAPI, Docling 2.x, SQLite (aiosqlite)
CI	GitHub Actions (lint, type-check, test, build)
Infra	Docker Compose + Nginx

# Docker (fastest)
docker run -p 3000:3000 ghcr.io/scub-france/docling-studio:latest-local

Open http://localhost:3000 and upload a PDF.

!!! note The first analysis takes longer as Docling downloads its ML models (~400 MB). Subsequent runs are fast.

See Getting Started for local development setup.

MIT — Pier-Jean Malandrino