Aiko: On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately. Notta: High-accuracy transcription with 42+ language translation This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aiko when transcribing recorded lectures into searchable text for studying matters most, and Notta when transcribing uploaded audio and video files matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately.
High-accuracy transcription with 42+ language translation
Aiko is a native transcription app for macOS, iOS, and visionOS, developed by Sindre Sorhus, that converts speech to text from meetings, lectures, and recordings entirely on-device. It uses OpenAI's Whisper model running locally, so audio never leaves the user's device, which makes it appealing for students and professionals with privacy requirements. Aiko transcribes both audio and video files in common formats such as .m4a, .wav, .mp3, .mp4, and .mov, and supports around 100 languages. Transcriptions can be exported in multiple formats, including JSON, CSV, and SRT subtitles, and the app includes a word-replacement feature to automatically correct recurring errors. It also integrates with Apple Shortcuts for automation workflows. Because Aiko prioritizes accuracy over speed, it does not perform live transcription while recording and currently does not include speaker detection, so it is best for transcribing recorded lectures, interviews, and meetings after the fact. The app is offered as a Universal Purchase with a free trial via TestFlight, making it a low-cost, privacy-first option for turning lecture and meeting recordings into searchable text. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Notta records and transcribes meetings and uploaded audio/video in 58 languages, then generates AI summaries, chapters, and action items. It joins Zoom, Google Meet, Microsoft Teams, and Webex calls and integrates with Salesforce, HubSpot, Notion, Slack, and Zapier. The permanent free plan is limited — 120 transcription minutes per month with a hard 3-minute cap per recording, and no transcript export — so it suits trying the product more than recording full meetings; paid plans lift the caps substantially.
Best suited for
Aiko is a free tier with paid upgrades (freemium); Notta is from $8.17/mo (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aiko | Notta |
|---|---|---|
| Core capability | Fully on-device transcription powered by a local Whisper model | 58-language transcription |
| Standout feature | Support for roughly 100 languages | AI summaries |
| Team usage | Transcription of audio and video files in formats like m4a, wav, mp3, mp4, and mov | File upload transcription |
| Integrations | Export to multiple formats including JSON, CSV, and SRT subtitles | CRM integrations |
| Languages & capture | Word-replacement feature to auto-correct common errors | 58-language transcription |
| Best-fit workflow | Apple Shortcuts integration and Universal Purchase across Mac, iOS, and visionOS | AI summaries |
Aiko
Choose Aiko if you need transcribing recorded lectures into searchable text for studying — strengths include strong privacy because nothing leaves the device.
Notta
Choose Notta if you need multilingual meeting transcription — strengths include transcription in 58 languages — among the widest coverage.
Aiko
Notta
It depends on your workflow. Aiko is strong for transcribing recorded lectures into searchable text for studying, while Notta is strong for multilingual meeting transcription. Both transcribe and summarize meetings.
Aiko is a free tier with paid upgrades and Notta is from $8.17/mo. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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