Aiko: On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately. Talat: A privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aiko when transcribing recorded lectures into searchable text for studying matters most, and Talat when keeping a searchable local archive of meeting notes in markdown or obsidian matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately.
A privacy-first desktop meeting notes app that records and transcribes calls entirely on your own machine, with no bot and no cloud upload.
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
Talat is a lightweight desktop application that records and transcribes meetings entirely on the user's own computer, keeping audio and notes off cloud servers. It captures both the microphone and system audio, automatically detecting active conferencing apps such as Zoom, Microsoft Teams, Google Meet, and FaceTime, and transcribes both sides of the conversation in real time with low latency. Speakers are identified automatically and can be adjusted manually, and transcript segments can be edited, split, or deleted. When a meeting ends, an on-device large language model generates a summary highlighting key points, decisions, and action items. Because transcription and summarization run locally using hardware acceleration, the app functions offline and does not send meeting data to external providers, though users can optionally connect their own cloud LLM if they prefer. Talat supports exporting notes to Markdown for tools like Obsidian, along with webhooks and Model Context Protocol (MCP) support for integrating meeting data into other workflows, plus full local search across past recordings. Available for Apple Silicon Macs and Windows, it is sold as a one-time purchase rather than a subscription, making it suited to privacy-conscious individuals and small teams who want local control of their meeting records. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aiko is a free tier with paid upgrades (freemium); Talat is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aiko | Talat |
|---|---|---|
| Core capability | Fully on-device transcription powered by a local Whisper model | Fully local, on-device recording and transcription with no cloud upload |
| Standout feature | Support for roughly 100 languages | Captures microphone and system audio from Zoom, Teams, Meet, and FaceTime |
| Team usage | Transcription of audio and video files in formats like m4a, wav, mp3, mp4, and mov | Real-time speaker identification with editable transcript segments |
| Integrations | Export to multiple formats including JSON, CSV, and SRT subtitles | On-device LLM summaries of key points, decisions, and action items |
| Languages & capture | Word-replacement feature to auto-correct common errors | Markdown export to tools like Obsidian, plus webhooks and MCP support |
| Best-fit workflow | Apple Shortcuts integration and Universal Purchase across Mac, iOS, and visionOS | Local search across all previously recorded meetings |
Aiko
Choose Aiko if you need transcribing recorded lectures into searchable text for studying — strengths include strong privacy because nothing leaves the device.
Talat
Choose Talat if you need recording and transcribing meetings without sending audio to the cloud — strengths include audio and notes never leave the device, supporting strong privacy and offline use.
Aiko
Talat
It depends on your workflow. Aiko is strong for transcribing recorded lectures into searchable text for studying, while Talat is strong for recording and transcribing meetings without sending audio to the cloud. Both transcribe and summarize meetings.
Aiko is a free tier with paid upgrades and Talat is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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