Beey: Web app for automatic transcription, subtitle creation, translation, and live transcription. 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 Beey when transcribing podcasts, interviews, and video into editable text 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.
Web app for automatic transcription, subtitle creation, translation, and live transcription.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Beey is a web-based application for automatically transcribing and subtitling audio and video content using AI. Users upload recordings or record audio directly, and Beey converts the speech into text that can be edited in a built-in editor featuring speaker separation, waveform preview, and full-text search. From the transcript, the platform creates professional captions and subtitles and can apply automatic AI translation across a range of languages. Beey also offers live transcription of streamed content as an add-on, extending its use to events and broadcasts in addition to pre-recorded files. The platform supports more than thirty languages and provides API access for teams that want to integrate transcription into their own systems. Beey is aimed at journalists, media houses, researchers, and content creators who need accurate, editable transcripts and subtitles, as well as users converting podcasts, videos, and meeting recordings into searchable text. Its combination of an editor, subtitle tools, and live transcription makes it suitable for both production and documentation workflows. 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
Beey 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 | Beey | aTrain |
|---|---|---|
| Core capability | Automatic transcription of audio and video | Offline, fully local transcription with no data leaving the device |
| Standout feature | Subtitle and caption creation with a dedicated editor | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Speaker separation, waveform preview, and full-text search | Speaker detection/diarization using pyannote.audio |
| Integrations | Automatic AI translation across many languages | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Live transcription of streamed content and API access | Graphical interface requiring no programming skills |
| Best-fit workflow | Automatic transcription of audio and video | NVIDIA GPU acceleration support |
Beey
Choose Beey if you need transcribing podcasts, interviews, and video into editable text — strengths include editor with speaker separation and search aids transcript cleanup.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Beey
aTrain
It depends on your workflow. Beey is strong for transcribing podcasts, interviews, and video into editable text, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
Beey 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
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