Audio and podcasting decision
Superwhisper
A small team or single engineer can reproduce the core dictation+transcription+paste workflow in ~30 hours and run it cheaply, but Superwhisper's enterprise compliance (SOC 2), polished cross-platform native UX, managed model catalog, and enterprise features justify keeping the paid product for teams or regulated use.
Visit website↗$8.49/mo
$102/yr
Read off the official pricing page.
$50one-off30 h to build
$20/mo8 h/mo upkeep
On cash alone, building overtakes the subscription at 3 seats.
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. All Superwhisper alternatives, with the arithmetic →
What a replacement has to do
- Record microphone or upload audio → run speech-to-text (local or cloud) → apply mode-specific text transformations (prompt/LLM) → paste edited text into the focused app or export transcript.
What it still won’t have
- Enterprise features (SOC 2, centralized billing, model access control)
- Polished cross-platform native UX and iOS native app
- Built-in model catalog and managed unlimited cloud model usage
- Priority support and volume/enterprise discounts
What remains hard
- Compliance and regulation
SOC 2 Type II certified
- Brand trust
hundreds of thousands rely on Superwhisper to save time.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 3 seats.
Money you would actually spend
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
Build a cross-platform Electron desktop app (Mac & Windows) with a small Python or Node background worker for local ML. In scope: global shortcut to start/stop recording, microphone capture and WAV buffering, local Whisper-based speech-to-text fallback and optional cloud STT via user-provided API keys, a small prompt-driven transformation step (call OpenAI/Anthropic with user-supplied key), clipboard/paste integration to insert results into the active app, file upload processing, settings UI for modes/vocabulary, and basic history. Out of scope: SOC 2, centralized enterprise billing, native iOS client, and large-scale telemetry. Include error handling, basic unit/integration tests, and a README with install and run instructions.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score64
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 · 4
Every page the run actually retrieved.
- official productSuperwhisper — homepage
- official docsSuperwhisper documentation — Introduction
- open sourcecjpais/Handy
- open sourceZackriya-Solutions/meetily
Integrity checks
What held up, and what did not.
