Audio and podcasting decision

Riverside

A technical user can reproduce a useful subset (recording, separate-track uploads, transcripts, and a text-based editor) within a few weeks, but Riverside’s enterprise-grade scaling, compliance (SOC2/ISO27001), and broad integrations are durable advantages that are expensive to replicate.

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Subscription$29/month ✓ verified
Initial build80 hours
Monthly upkeep10 hours + $50
Evidence2/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • Record multi-track audio/video -> upload/store separate tracks -> generate transcript -> text-based edit (cut/copy/paste) -> export MP4/WAV

What it still won’t have

  • Ability to reliably scale live webinars to ~10,000 viewers
  • SOC2 / ISO27001 compliance and audit-ready controls
  • Deep integrations (HubSpot, Salesforce, Marketo) and single-sign-on (SSO)
  • Polished, production-grade AI features and at-scale media processing pipeline
  • Unlimited hosted storage and enterprise-level reliability/SLAs

What remains hard

  • Compliance and regulationSOC2 & ISO27001 compliance
  • Infrastructure at scaleUp to 10,000 webinar registrants
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 3 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a self-hosted minimal Riverside-like service using React (browser recorder + edit UI), Node.js/Express backend, Postgres for metadata, and S3-compatible object storage. Implement: (1) a browser client that records separate local tracks (audio/video) and uploads them; (2) server endpoints to store uploads and metadata; (3) an automatic transcription step using a cloud ASR or an open-source model and store aligned transcripts; (4) a text-based editor UI that maps transcript edits to media time ranges and can export stitched MP4 and WAV; (5) basic audio cleanup (noise gate/denoise) prior to export. Out of scope: live multistreaming to social platforms, enterprise SSO, SOC2/ISO certification, multi-tenant studio management, and editor collaboration. Include error handling for failed uploads/transcodes, retry logic, and unit/integration tests for recorder upload, transcript generation, and export functionality.
How we checked5 sources · 2/3 runs agreed · evidence score 25

How the score was reached

  • Pay verdict base20
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • Hard moats found in the evidence-6
  • Evidence score25

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 2 moats quoted from the page