Aiko: On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately. Slipbox: Privacy-first, bot-free AI meeting companion that captures system audio locally on Mac and Windows and turns it into transcripts, notes, and summaries. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aiko when transcribing recorded lectures into searchable text for studying matters most, and Slipbox when privacy-conscious professionals who cannot use cloud meeting bots 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.
Privacy-first, bot-free AI meeting companion that captures system audio locally on Mac and Windows and turns it into transcripts, notes, and summaries.
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
Slipbox is a privacy-first AI meeting companion built for individual professionals and teams who want to capture meetings without sending a bot into the call. Instead of joining a conference as a visible participant, Slipbox runs on your own machine and captures the device's system audio alongside your microphone, then transcribes the conversation on-device in real time. As the meeting progresses it can surface real-time insights and cues, and once the conversation ends it generates AI summaries using customizable templates, tagged notes, and searchable meeting records. Because the core transcription happens locally, audio does not need to leave the device, and the product uses a hybrid model in which optional cloud features can be turned on when needed; users can also bring their own LLM API key or point Slipbox at local models such as Ollama to keep data within their firewall. It works across common communication apps including Zoom, Microsoft Teams, Google Meet, Slack, FaceTime, WhatsApp, Signal, Telegram, Discord, and Webex, and integrates with note tools like Obsidian. Slipbox is available for macOS, Windows, and iPhone, and is suited to consultants, researchers, and privacy-conscious knowledge workers who want a personal meeting record without a meeting bot. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aiko is a free tier with paid upgrades (freemium); Slipbox is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aiko | Slipbox |
|---|---|---|
| Core capability | Fully on-device transcription powered by a local Whisper model | Bot-free capture of system audio plus microphone directly on the device |
| Standout feature | Support for roughly 100 languages | On-device, real-time transcription with optional hybrid cloud features |
| Team usage | Transcription of audio and video files in formats like m4a, wav, mp3, mp4, and mov | AI summaries from customizable templates, tagged notes, and searchable records |
| Integrations | Export to multiple formats including JSON, CSV, and SRT subtitles | Automatic meeting detection across Zoom, Teams, Meet, Slack, FaceTime and more |
| Languages & capture | Word-replacement feature to auto-correct common errors | Bring-your-own LLM API key or local model support (e.g. Ollama) |
| Best-fit workflow | Apple Shortcuts integration and Universal Purchase across Mac, iOS, and visionOS | Speaker identification, semantic search, and Obsidian integration |
Aiko
Choose Aiko if you need transcribing recorded lectures into searchable text for studying — strengths include strong privacy because nothing leaves the device.
Slipbox
Choose Slipbox if you need consultants and researchers keeping private records of client and interview calls — strengths include no bot joins the call, so capture is discreet across many platforms.
Aiko
Slipbox
It depends on your workflow. Aiko is strong for transcribing recorded lectures into searchable text for studying, while Slipbox is strong for consultants and researchers keeping private records of client and interview calls. Both transcribe and summarize meetings.
Aiko is a free tier with paid upgrades and Slipbox 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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