Open-Source AI · Speech (STT / TTS)

unWarp vs Yap

unWarp vs Yap compared for 2026 — features, license, ease of use, performance and which one to choose. Records calls and voice memos into searchable notes vs Hold a key, speak, and the text is typed at your cursor.

Updated regularly · curated by olud.ai

Choose unWarp for individuals and small teams recording their own calls. Choose Yap for for dictating into everyday apps with on-device recognition.

unWarp vs Yap at a glance

SpecunWarpYap
CategorySpeech (STT / TTS)Speech (STT / TTS)
TypeVoice and meeting notes (SaaS)Paid dictation app, desktop and mobile
LicenseProprietaryProprietary
Runs locallyNoYes
Primary language——
Ease of useBeginnerBeginner
Best forindividuals and small teams recording their own callsfor dictating into everyday apps with on-device recognition
GitHub stars——

How unWarp and Yap score

🏆 Overall edge: Yap — 3.8 vs 3.3 / 5
CriterionunWarpYap
Popularityn/an/a
Maintenancen/an/a
Ease of use5.05.0
Privacy3.55.0
License freedom1.51.5

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

unWarp

Voice and meeting notes (SaaS) · Proprietary

unWarp is a hosted service that turns voice memos and calls into searchable notes with a summary and action items; it runs in the browser, and calls are recorded by its Windows and macOS desktop app. Personal is €10/month, teams €8/seat, 14-day trial. Note before using it: nothing joins the call as a visible participant, so other people are not notified of the recording, and consent law, employer policy and platform terms still apply.

  • Call audio is recorded by the desktop app on Windows and macOS, not by a meeting bot.
  • Each note has a summary, action items with dates, a searchable transcript and the audio.
  • Notes are stored in Frankfurt; voice audio is deleted in an hour, call audio in 30 days.
Visit unWarp →

Yap

Paid dictation app, desktop and mobile · Proprietary

Yap is a dictation app for Apple Silicon Macs, Windows 10/11, iPhone and Android: hold a key, speak, and the text is inserted at the cursor. Recognition runs on the machine and works offline once the model is downloaded. A free account is needed; 3 free days, then a 10-day card trial, then $6.90/month or $69/year. Note before using it: automatic insertion on macOS needs Accessibility permission, letting the app type into other apps.

  • On-device recognition; the page states audio is not uploaded and it works offline.
  • One subscription covers the Mac, Windows, iPhone and Android apps.
  • A browser demo transcribes up to 60 seconds of English, using a smaller model.
Visit Yap →

Key differences

unWarp is voice and meeting notes (SaaS), while Yap is paid dictation app, desktop and mobile. They also differ in how they run (No vs Yes). In short, unWarp fits individuals and small teams recording their own calls, and Yap fits for dictating into everyday apps with on-device recognition.

Which should you choose?

Choose unWarp for individuals and small teams recording their own calls. Choose Yap for for dictating into everyday apps with on-device recognition.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is unWarp or Yap easier to use?

Both sit at a similar level (Beginner). Your choice should come down to fit rather than difficulty.

Are unWarp and Yap free?

unWarp is free to use but closed source, and Yap is free to use but closed source. Neither charges for the core software.

Can I run unWarp and Yap locally?

unWarp: no · Yap: yes. Both can be used without sending your data to a third-party cloud where their setup allows.

unWarp vs Yap — which should I pick in 2026?

Choose unWarp for individuals and small teams recording their own calls. Choose Yap for for dictating into everyday apps with on-device recognition.

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