Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and aTrain when universities and public bodies needing gdpr-friendly local transcription matters most. Try them side by side on real calls before deciding — needs vary by team.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Aurelius is a research repository and insights platform designed for UX researchers, designers, and product teams to manage qualitative research data end to end. It sits between a note-taking tool and a full research repository: teams bring in raw data such as interview notes and transcripts, organize and tag it, and the tool surfaces patterns and helps create reusable insights over time. Core capabilities include centralized storage for research data, note organization, data tagging, theme and pattern identification, and report generation, so findings can be referenced long after a study concludes. Aurelius is built with larger research organizations in mind, supporting consistent taxonomy across projects and keeping insights discoverable as repositories grow, while also enabling multi-team collaboration and research history and archival features. Researchers describe it as a low-effort way to tag and create insights they can reference in later product discussions. The platform positions itself as an alternative to fragmented approaches that rely on spreadsheets, Confluence, or Airtable for storing research. By centralizing qualitative data and making it searchable and well-organized, Aurelius aims to ensure that interview insights remain accessible and actionable across an organization. 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
Aurelius 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 | Aurelius | aTrain |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Offline, fully local transcription with no data leaving the device |
| Standout feature | Data tagging and note organization | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Theme and pattern identification across research | Speaker detection/diarization using pyannote.audio |
| Integrations | Insight creation and report generation | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Consistent taxonomy across projects for large repositories | Graphical interface requiring no programming skills |
| Best-fit workflow | Multi-team collaboration with research history and archival | NVIDIA GPU acceleration support |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Aurelius
aTrain
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
Aurelius 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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