AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. 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 AutoMemo when capturing and transcribing in-person business meetings matters most, and aTrain when universities and public bodies needing gdpr-friendly local transcription matters most. Run both through a week of actual calls to see which suits your workflow.
Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
AutoMemo (オートメモ) is a transcription AI developed, sold, and supported by Sourcenext Corporation in Japan. It is built around a multi-surface approach: users can capture audio through a web browser app, a dedicated smartphone app, or standalone hardware voice recorders (the AutoMemo S and AutoMemo R devices), and the captured audio is automatically converted to text. The service uses a Whisper-based speech recognition engine, automatically inserts punctuation, removes filler words such as Japanese hesitation sounds, and recognizes speakers so that transcription results are divided into speaker blocks. On top of the transcript, AutoMemo can automatically generate summaries and extract to-do items and deadlines, and it has added features such as AI-generated titles for recordings. Audio and transcripts are saved to the cloud for later editing, searching, and sharing. AutoMemo positions itself for business meetings, interviews, and lecture capture in Japanese-language workflows, and offers a limited free transcription allowance with paid plans for higher usage. It remains actively developed and marketed in 2025/2026. Pricing varies by plan. Check the official website for current pricing.
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
AutoMemo 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 | AutoMemo | aTrain |
|---|---|---|
| Core capability | Records via web app, smartphone app, or dedicated voice recorder hardware | Offline, fully local transcription with no data leaving the device |
| Standout feature | Whisper-based speech-to-text with automatic punctuation | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Speaker recognition that splits transcripts into per-speaker blocks | Speaker detection/diarization using pyannote.audio |
| Integrations | AI summaries with to-do and deadline extraction | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Automatic filler-word removal | Graphical interface requiring no programming skills |
| Best-fit workflow | Cloud storage with editing, search, and sharing | NVIDIA GPU acceleration support |
AutoMemo
Choose AutoMemo if you need capturing and transcribing in-person business meetings — strengths include multiple capture options including standalone hardware recorders.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
AutoMemo
aTrain
It depends on your workflow. AutoMemo is strong for capturing and transcribing in-person business meetings, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
AutoMemo 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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