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Annotra: Multi-modal annotation

Table of Contents

About

SaaS-based multimodal annotation platform designed for managing and labeling complex datasets including images, videos, and audio.

Features

  • Multimodal assets: Organize and annotate images, videos, audio, and 3D models inside projects.
  • Annotation workflows: Create and edit manual annotations; optional background processing via Redis and Celery.
  • Multi-tenant auth: Companies, roles, permissions, JWT access tokens, refresh cookies, and optional TOTP 2FA.

Technologies Used

frontend: Next.js 16, React 19, TypeScript, Tailwind CSS 4, Radix UI primitives, Konva / react-konva for 2D overlays, Three.js and stats.js for 3D (performance HUD), wavesurfer.js for audio, Chart.js / react-chartjs-2, react-hook-form with Zod, Axios, Vitest and Testing Library for tests.

backend: FastAPI, Uvicorn, SQLAlchemy 2 (async) with asyncpg and PostgreSQL, Alembic migrations, Pydantic v2, Celery with Redis, python-jose (JWT), bcrypt, boto3 for object storage, pyotp for 2FA.

Hugging Face models: Transformers and PyTorch on the ML worker; default checkpoints include facebook/sam2-hiera-large (segmentation) and openai/whisper-large-v3 (speech-to-text). Optional faster-whisper for local CTranslate2 inference. See backend/requirements-ml.txt and backend/.env.example for versions and tuning.

Figma Snapshots

For a visual preview of the project, check out Figma design: Open With Figma

snapshot

Get Started

Postman Collection

To explore the API you can either:

Documentation

Supplementary docs live under docs/:

Contact

For inquiries or support, please contact:

About

SaaS-based multimodal annotation platform designed for managing and labeling complex datasets including images, videos, and audio.

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