Features

• HTTP API for submitting jobs to a redis-backed FFmpeg worker
• FTP and S3 storage (AWS, Digital Ocean Spaces and Custom S3 Providers supported)
• Web Dashboard UI for managing encode jobs, workers, users and settings
• Machines UI/API for scaling cloud worker instances in a VPC
• Database stored FFmpeg encoding presets
• User accounts and roles

Preview

Development

Requirements

• Docker
• Go 1.11+
• NodeJS 8+ (For web dashboard)
• FFmpeg
• Postgres
• S3 API Credentials & Bucket (AWS or Digital Ocean)
• Digital Ocean API Key (only required for Machines API)

Docker is optional, but highly recommended for this setup. This guide assumes you are using Docker.

Setup

• Start Redis and Postgres in Docker:

docker-compose up -d redis
docker-compose up -d db

When the database container runs for the first time, it will create a persistent volume as /var/lib/postgresql/data. It will also run the scripts in scripts/ to create the database, schema, settings, presets, and an admin user.

• Build & start API server:

go build -v && ./openencoder server

• Start the worker:

./openencoder worker

• Start Web Dashboard for development:

cd static && npm run serve

• Open http://localhost:8081/dashboard in the browser and login with admin/password.

See Quick-Setup-Guide for full development setup guide.

API

See: API.md

Scaling

You can scale workers by adding more machines via the Web UI or API.

Currently only Digital Ocean is supported. More providers are planned.

See: API.md for Machines API documentation.

Documentation

See: wiki for more documentation.

Roadmap

See: Development Project for current development tasks and status.

License

MIT