aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. meetergo: German GDPR-focused scheduling platform whose meetergo Log component adds local, bot-free meeting transcription and AI-generated minutes. 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 aTrain when researchers transcribing recorded interviews for qualitative analysis matters most, and meetergo when recording and summarising meet, zoom or teams calls without a visible bot matters most. Run both through a week of actual calls to see which suits your workflow.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
German GDPR-focused scheduling platform whose meetergo Log component adds local, bot-free meeting transcription and AI-generated minutes.
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
meetergo is a German platform from meetergo GmbH, based in Monheim am Rhein, that combines appointment scheduling with meeting productivity tools and a strong emphasis on data sovereignty. While its core is GDPR-compliant scheduling and video conferencing, meetergo also offers meetergo Log, a desktop application focused on meeting transcription and AI-generated minutes. meetergo Log records meetings from Google Meet, Zoom and Microsoft Teams locally, processing audio on the user's device with local AI models rather than uploading streams to external servers, so participants do not see a separate recording bot in the call. It transcribes in real time, supports 40+ languages with automatic detection, and generates structured minutes that capture decisions and tasks, with full-text search across past transcripts and the ability to import existing audio files. The desktop app runs on macOS and Windows, with Linux noted as planned. meetergo positions itself as solving the two-app problem by uniting scheduling and meeting notes in one ecosystem, with company data stored on servers in Europe. As of 2025/2026 the official website resolves to a live, actively developed product. It suits European teams that want scheduling plus privacy-first local meeting transcription from a single German vendor. Pricing varies by plan. Check the official website for current pricing.
Best suited for
aTrain is a free tier with paid upgrades (freemium); meetergo is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | aTrain | meetergo |
|---|---|---|
| Core capability | Offline, fully local transcription with no data leaving the device | meetergo Log desktop app for local, bot-free meeting transcription |
| Standout feature | Built on OpenAI Whisper via the faster-whisper engine | On-device AI processing of recordings rather than uploading audio to the cloud |
| Team usage | Speaker detection/diarization using pyannote.audio | Real-time transcription with 40+ languages and auto-detection |
| Integrations | Exports compatible with MAXQDA, ATLAS.ti, and NVivo | AI-generated structured minutes capturing decisions and tasks |
| Languages & capture | Graphical interface requiring no programming skills | Full-text search across past transcripts and audio file import |
| Best-fit workflow | NVIDIA GPU acceleration support | Integrated scheduling and video-conferencing within the same platform |
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
meetergo
Choose meetergo if you need european teams wanting gdpr-focused scheduling plus local meeting transcription — strengths include local, bot-free recording with a privacy-first, german/eu data approach.
aTrain
meetergo
It depends on your workflow. aTrain is strong for researchers transcribing recorded interviews for qualitative analysis, while meetergo is strong for european teams wanting gdpr-focused scheduling plus local meeting transcription. Both transcribe and summarize meetings.
aTrain is a free tier with paid upgrades and meetergo 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.
More head-to-head comparisons involving aTrain and meetergo.
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aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. monday.com AI Notetaker: monday.com's native AI Notetaker joins video calls to transcribe, summarize, and turn discussions into action items inside the monday.com work platform. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. myMeet.ai: AI meeting assistant that joins calls to record, transcribe, summarize, and extract action items across video platforms. Below, they line up on price, capture method, and how each fits a real meeting stack.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. noScribe: Free, open-source desktop transcriber that runs Whisper and pyannote fully locally with speaker identification and a synchronized editor. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
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