Aiko: On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aiko when transcribing recorded lectures into searchable text for studying matters most, and Speakr when extracting action items and decisions from recorded calls matters most. Run both through a week of actual calls to see which suits your workflow.
On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
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
Speakr is a self-hosted web application designed for transcribing audio recordings such as meetings, generating concise summaries and titles, and interacting with the content through a chat interface. It runs entirely on the user's own server, giving full control over data, and is dual-licensed under AGPL-3.0 and a commercial license. The project is actively maintained, with a v0.9.0-alpha release dated June 2026 and over 970 commits. Speakr produces transcripts with automatic language detection and optional AI-powered speaker diarization so users can see who said what. Its summarization can be customized with prompts, and meeting summaries include an action-items view that filters out general discussion to surface decisions, tasks, deadlines, and calendar-worthy events. For deeper interaction, a per-recording chat lets users ask questions about a single recording, while an experimental Inquire Mode provides semantic search and natural-language chat across an entire library of recordings. Speakr can capture system or browser-tab audio, supports configurable AI models and endpoints compatible with OpenAI, OpenRouter, and local models, and includes multi-user support with SSO, group workspaces, an admin dashboard, and export and sharing tools aimed at privacy-conscious teams. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aiko is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aiko | Speakr |
|---|---|---|
| Core capability | Fully on-device transcription powered by a local Whisper model | Self-hosted transcription with automatic language detection |
| Standout feature | Support for roughly 100 languages | Optional AI-powered speaker diarization |
| Team usage | Transcription of audio and video files in formats like m4a, wav, mp3, mp4, and mov | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | Export to multiple formats including JSON, CSV, and SRT subtitles | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | Word-replacement feature to auto-correct common errors | System and browser-tab audio capture |
| Best-fit workflow | Apple Shortcuts integration and Universal Purchase across Mac, iOS, and visionOS | Multi-user support with SSO, group workspaces, and admin dashboard |
Aiko
Choose Aiko if you need transcribing recorded lectures into searchable text for studying — strengths include strong privacy because nothing leaves the device.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
Aiko
Speakr
It depends on your workflow. Aiko is strong for transcribing recorded lectures into searchable text for studying, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
Aiko is a free tier with paid upgrades and Speakr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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