Riverside.fm integration
Direct import from Riverside recordings into the EpisodeOps release flow.
Short answer. When a Riverside session ends, the local-track recording feeds EpisodeOps for transcript, show notes, chapters, and release scheduling.
Riverside is the most-used remote-recording platform for high-quality podcast and video sessions. It captures each participant's local audio, which beats Zoom's compressed feed by a wide margin. The catch: once Riverside hands you the local tracks, you still have a full post-production workflow ahead of you. EpisodeOps integrates with Riverside to pick up the moment recording ends.
The integration ingests the Riverside session's audio and video tracks, runs them through AI transcription and diarization, and produces the same release pack EpisodeOps generates for any audio upload — but with the speaker labels pre-mapped from Riverside's participant data.
How it works
1. Connect Riverside
Authorize Riverside in EpisodeOps → Settings → Integrations. EpisodeOps reads the list of your sessions through Riverside's API.
2. Select a session
After recording, open the session in EpisodeOps and click 'Pull tracks from Riverside'. Audio and video stems come over with participant labels.
3. Generate the release pack
EpisodeOps transcribes, generates chapters, drafts show notes and social posts, and queues the episode for your team's review.
Use cases
Remote interviews where guests are on different continents
Each speaker's local audio is captured by Riverside, then ingested and transcribed cleanly by EpisodeOps with diarization that actually works.
Video podcasts that ship to YouTube + podcast feeds
Riverside's video stems route through EpisodeOps's clip generation for vertical social cuts.
Studios recording 4+ episodes per week
Skip the manual handoff between Riverside's dashboard and the post-production tool. Sessions appear in EpisodeOps automatically.
Need this today?
Native Riverside.fm integration is on the roadmap. For now, you can connect EpisodeOps to Riverside.fm via Zapier — every workflow described above works through the Zapier bridge.
See Riverside.fm on ZapierTry EpisodeOps free
Free release pack on signup — no card required. Connect Riverside.fm when you're ready.
Common questions
Does this also work with Riverside's AI editing features?
Yes. If you used Riverside's AI editing (magic editor, filler removal), the cleaned-up tracks are what EpisodeOps ingests. You don't have to re-do the cleanup work.
How do you handle multi-track audio for diarization?
Riverside captures each participant on their own track. EpisodeOps reads the per-track audio and assigns the right speaker label automatically — no AI guessing.
What's the file-size limit?
EpisodeOps supports up to 2GB per upload. A typical 90-minute Riverside session in lossless 48 kHz comes in well under that for audio-only; video stems can be larger.