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On the recordRead 9 Oct 202614 facts
Tributary
Plans and prices
Tributary
Free
Open-source · self-hosted
Read 9 Oct 2026 · github.com
On the record
- AI tooling
- The Tributary CLI exposes transcripts, word timestamps, cuts, clips, downloads, and enhancement as JSON commands, and the project says no LLM dependency ships with it.github.com · read 9 Oct 2026
- Editing and exports
- The editor supports trimming, cuts, transcript-based word editing, social clip formats, and mixed audio and video exports.github.com · read 9 Oct 2026
- Guest access
- Hosts create studios and sessions, while guests can join with an invite link without an account.github.com · read 9 Oct 2026
- Integrations
- It can stream to RTMP destinations such as YouTube, Twitch, or custom endpoints, and export XML timelines for Premiere Pro or DaVinci Resolve.github.com · read 9 Oct 2026
- Maker
- The repository is owned by GitHub user Realmullens.github.com · read 9 Oct 2026
- Mobile status
- The project describes its mobile app as an early Expo shell and says it is not yet a polished native app.github.com · read 9 Oct 2026
- Purpose
- Tributary is an open-source, browser-based remote recording studio that records each participant locally and produces separate synchronized tracks and mixed exports.github.com · read 9 Oct 2026
- Recording
- Each participant’s recording is saved in chunks to IndexedDB before upload, with retry and recovery support for interruptions and crashed tabs.github.com · read 9 Oct 2026
- Room size
- Mesh WebRTC is described as suitable for about six participants; LiveKit SFU mode is available for larger rooms.github.com · read 9 Oct 2026
- Security and connectivity
- The deployment guide says TURN relaying may be needed for guests behind symmetric NATs or strict corporate firewalls, while recording remains locally captured and uploaded over HTTPS.github.com · read 9 Oct 2026
- Self-hosting requirements
- The project’s quick start requires Node 20 or newer, pnpm, and ffmpeg/ffprobe; production use with remote guests requires HTTPS.github.com · read 9 Oct 2026
- Storage and scaling
- The documented architecture stores media on local disk and uses an in-process job queue, with S3 and an external queue identified as scaling alternatives.github.com · read 9 Oct 2026
- Support and licensing
- The GitHub repository links to contribution instructions and identifies the project as MIT-licensed.github.com · read 9 Oct 2026
- Transcription
- Per-track transcription uses whisper.cpp and supports TXT, SRT, and VTT downloads with speaker labels.github.com · read 9 Oct 2026