AudioDiary: AudioDiary is an AI-powered voice journaling app that records spoken entries, transcribes them, and generates summaries and reflective insights. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist AudioDiary when keeping a daily reflective journal by speaking instead of typing matters most, and aTrain when universities and public bodies needing gdpr-friendly local transcription matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
AudioDiary is an AI-powered voice journaling app that records spoken entries, transcribes them, and generates summaries and reflective insights.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
AudioDiary, made by Soliloquy Apps Limited, is a voice journaling application that lets users capture thoughts by speaking instead of typing. Users record an audio entry and the app automatically transcribes it and applies AI to produce summaries, reflections, suggested goals, mood tracking, and pattern visualization over time. It also offers dream analysis, custom tagging, themes, and the ability to attach photos to entries. Captured content can be exported as audio, transcripts, images, or PDF, and entries can be edited after recording. Its "Session Designer" lets users personalize or disable AI features, and extracted goals can sync to Google Calendar. The app is available across iOS, iPad, Mac (including Apple Vision), and the web, with synchronization between platforms. Recordings are encrypted in transit and at rest, with data stored via established cloud providers, and the company states it does not sell or monetize journal entries. It is aimed at individuals seeking a reflective, spoken personal journaling and self-tracking habit rather than business meetings.
Best suited for
aTrain is a free, open-source desktop application for offline speech transcription, developed by researchers at the Business Analytics and Data Science Center of the University of Graz in Austria. It provides a graphical interface around OpenAI's Whisper model (via the faster-whisper implementation) so users with no programming experience can transcribe recorded meetings, interviews, lectures, and other audio. Because all processing happens locally on the user's own computer, no audio or text is uploaded to any server, which makes it well suited to privacy-sensitive and GDPR-conscious environments such as universities, public institutions, and research teams. aTrain supports a wide range of languages and adds speaker detection through pyannote.audio so contributions from different participants can be separated. Transcripts can be exported in formats compatible with qualitative-analysis software such as MAXQDA, ATLAS.ti, and NVivo. It runs on Windows (including a Microsoft Store distribution) with GPU acceleration on NVIDIA hardware, and is distributed under the AGPL-3.0 license. It is best for researchers, academics, and organizations that need accurate, local, no-cloud transcription of recorded conversations. Pricing varies by plan. Check the official website for current pricing.
Best suited for
AudioDiary is a free tier with paid upgrades (freemium); aTrain is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | AudioDiary | aTrain |
|---|---|---|
| Core capability | Voice recording with automatic AI transcription | Offline, fully local transcription with no data leaving the device |
| Standout feature | AI-generated summaries, reflections, and suggested goals | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Mood and dream tracking with pattern visualization over time | Speaker detection/diarization using pyannote.audio |
| Integrations | Customizable or disablable AI via a 'Session Designer' | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Export of audio, transcripts, images, and PDF; editable transcripts | Graphical interface requiring no programming skills |
| Best-fit workflow | Cross-platform sync across iOS, Mac, Apple Vision, and web | NVIDIA GPU acceleration support |
AudioDiary
Choose AudioDiary if you need keeping a daily reflective journal by speaking instead of typing — strengths include captures journaling hands-free by speaking, with automatic transcription.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
AudioDiary
aTrain
It depends on your workflow. AudioDiary is strong for keeping a daily reflective journal by speaking instead of typing, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
AudioDiary is a free tier with paid upgrades and aTrain 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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