Audio and podcasting decision

Alitu

A capable developer can build a working upload→clean→transcribe→edit→publish workflow in ~30 hours and run it cheaply, but Alitu's built-in browser recorder, double-ender video, music library and polished one-click hosting integrations are non-trivial to replicate fully — so building a useful subset is realistic, replacing the complete product is not.

Visit website
You pay

$38/mo

$456/yr

Read off the official pricing page.

You’d pay instead

$50one-off30 h to build

$80/mo8 h/mo upkeep

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

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • User records or uploads audio → automatic audio cleanup & leveling → generate transcript → edit via transcript/waveform → export episode and publish to RSS/host

What it still won’t have

  • Built-in multi-participant browser recorder / double-ender video recording
  • Branded hosted recording studio link and built-in chat
  • Royalty-free music library and integrated transitions
  • One-click publishing integrations to platforms (Alitu-managed hosting workflow)
  • Some automated advanced 'magic filters' and polishing tuned by vendor

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper 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 minimal self-hosted podcast production app using: React for frontend, Node.js (Express) backend, PostgreSQL for metadata, S3-compatible storage for audio, and a task queue (BullMQ). Implement: 1) upload endpoint and UI for importing audio files; 2) background audio processing pipeline using open-source tools (ffmpeg + RNNoise or SoX) to perform noise reduction, leveling, hum removal and trimming; 3) transcription step calling an external ASR API (or local Whisper) and storing word-level timestamps; 4) transcript-based editor UI that maps transcript to waveform and supports cut/undo/export; 5) MP3 export with ID3 tags and an auto-generated RSS feed + simple static podcast website. Out of scope: live multi-party browser recorder, double-ender video sync, royalty-free music library, paid-scale analytics. Include error handling, logging, retries for async jobs, CI tests for upload→process→transcribe→export flow, and basic unit/integration tests for APIs.
How we checked3 sources · 3/3 runs agreed · evidence score 62

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score62

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 · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded