The all-in-one distributed media engine for AI background removal, intelligent 4K transcoding, lossless audio demuxing, and YouTube ingestion. Powered by Go, RabbitMQ, FFmpeg, and local RMBG-1.4 Neural Networks.
Test-drive our four core microservice processing pipelines right inside your browser.
State-of-the-art background segmentation trained by Bria AI. Normalizes 1024x1024 tensors with ImageNet mean/std, applies sigmoid contrast curves, and utilizes Bilateral edge smoothing.
Adjust the resolution slider to see estimated compression and storage savings.
Extracts pristine 192kbps MP3 audio streams from heavy MP4/MKV video containers without transcoding degradation.
Worker: worker-audio • Constant 192kbps BitrateInput any standard YouTube video URL to demux audio or transcode video streams directly into your shared volume.
Test YouTube Downloader in Studio →Select an automated microservice workflow, drop your asset, and watch real-time processing unfold.
Experience zero request blocking with our three-stage distributed orchestration.
Client uploads stream directly into the Go Producer gateway with support for files up to 1GB. Binary payloads are safely written into shared storage.
Tasks are serialized into JSON events and fanned out through the `image_events` broker to specialized workers (`worker-bgremove`, `worker-video`, etc.).
The frontend tracks the task state in real time through our polling status API. Upon completion, preview your media immediately and export as ZIP.
Choose between self-hosted community power or fully managed enterprise infrastructure.
Perfect for local developers, testing, and homelab media clusters.
For content creators, media agencies, and fast-growing digital teams.
Custom Kubernetes clusters, SLA guarantees, and enterprise security.
docker compose up spins up RabbitMQ, the Go producer, and all 7 worker microservices with a single command.