Aiko: On-device AI transcription app for Mac, iOS, and visionOS that converts lecture and meeting audio to text privately. OpenTranscribe: Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aiko when transcribing recorded lectures into searchable text for studying matters most, and OpenTranscribe when collaborative review of transcripts with time-stamped annotations 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.
Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration.
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
OpenTranscribe is a self-hosted, containerized web application for transcribing and analyzing audio and video files using current AI models. It is built with a FastAPI backend, a Svelte/TypeScript progressive web app frontend, and a Docker-based stack that includes PostgreSQL, Redis/Celery task queues, MinIO object storage, and OpenSearch for full-text indexing. Transcription is handled by WhisperX with the large-v3-turbo model and Faster-Whisper, supporting more than 100 languages, while automatic speaker diarization uses PyAnnote v4 with overlap detection. The project is licensed under AGPL-3.0 and is actively maintained, with v0.4.1 released in April 2026. Beyond transcription, OpenTranscribe provides AI-powered summarization (including BLUF-format and custom JSON schemas), topic extraction, and content analysis through multiple LLM providers such as OpenAI, Claude, vLLM, Ollama, and OpenRouter. Collaboration features include time-stamped comments and annotations, and the platform can automatically import media from local folders, S3, and SMB shares. It also supports a set of cloud ASR providers as alternatives to local transcription, giving teams flexibility between fully local processing and managed services while keeping the application running on their own infrastructure. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aiko is a free tier with paid upgrades (freemium); OpenTranscribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aiko | OpenTranscribe |
|---|---|---|
| Core capability | Fully on-device transcription powered by a local Whisper model | WhisperX transcription with large-v3-turbo and 100+ language support |
| Standout feature | Support for roughly 100 languages | Automatic speaker diarization via PyAnnote v4 with overlap detection |
| Team usage | Transcription of audio and video files in formats like m4a, wav, mp3, mp4, and mov | Full-text search and filtering powered by OpenSearch |
| Integrations | Export to multiple formats including JSON, CSV, and SRT subtitles | AI summarization, topic extraction, and content analysis via multiple LLM providers |
| Languages & capture | Word-replacement feature to auto-correct common errors | Time-stamped comments for collaboration and annotation |
| Best-fit workflow | Apple Shortcuts integration and Universal Purchase across Mac, iOS, and visionOS | Auto-import from local folders, S3, and SMB shares |
Aiko
Choose Aiko if you need transcribing recorded lectures into searchable text for studying — strengths include strong privacy because nothing leaves the device.
OpenTranscribe
Choose OpenTranscribe if you need teams self-hosting a searchable archive of transcribed meeting and media recordings — strengths include fully self-hosted web app with a complete transcription-and-analysis stack.
Aiko
OpenTranscribe
It depends on your workflow. Aiko is strong for transcribing recorded lectures into searchable text for studying, while OpenTranscribe is strong for teams self-hosting a searchable archive of transcribed meeting and media recordings. Both transcribe and summarize meetings.
Aiko is a free tier with paid upgrades and OpenTranscribe 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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