Akkadu: Akkadu is an AI-powered platform that delivers real-time live captions, subtitles, and remote simultaneous interpretation in 90+ languages for events, meetings, and video content. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Akkadu when adding multilingual live captions and subtitles to conferences, webinars, and hybrid events 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.
Akkadu is an AI-powered platform that delivers real-time live captions, subtitles, and remote simultaneous interpretation in 90+ languages for events, meetings, and video content.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Akkadu, built by Akkadu Technology, is a platform for breaking down language barriers in live and recorded settings. It listens to a speaker's audio and produces real-time AI live captions and subtitles in more than 90 languages, and can deliver an AI voice translation that voices a speaker's words in another language. Beyond automated transcription and translation, Akkadu also offers remote simultaneous interpretation (RSI), connecting human interpreters to events, plus human live captioning for higher-accuracy needs. It is available as a desktop and web-based application and is designed to work alongside common video conferencing tools such as Zoom, Microsoft Teams, Webex, and Google Meet, as well as on-site and hybrid events. The company states it does not store voice data and gives users control to delete transcripts. Akkadu targets event organizers, conferences, corporate meetings, universities, content creators, and language service providers who need multilingual accessibility. It is offered on a pay-as-you-go hourly model with a free limited demo tier.
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
Akkadu 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 | Akkadu | aTrain |
|---|---|---|
| Core capability | Real-time AI live captions and subtitles in 90+ languages | Offline, fully local transcription with no data leaving the device |
| Standout feature | AI voice translation that voices a speaker into another language | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Remote simultaneous interpretation (RSI) with human interpreters | Speaker detection/diarization using pyannote.audio |
| Integrations | Human live captioning option for higher accuracy | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Works with Zoom, Microsoft Teams, Webex, and Google Meet plus on-site/hybrid events | Graphical interface requiring no programming skills |
| Best-fit workflow | Custom glossaries and accent recognition to improve accuracy | NVIDIA GPU acceleration support |
Akkadu
Choose Akkadu if you need adding multilingual live captions and subtitles to conferences, webinars, and hybrid events — strengths include covers 90+ languages across captions, subtitles, interpretation, and voice translation.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Akkadu
aTrain
It depends on your workflow. Akkadu is strong for adding multilingual live captions and subtitles to conferences, webinars, and hybrid events, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
Akkadu 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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