Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. 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 Condens when transcribing and tagging user interview recordings 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.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Condens is a user research platform that helps research teams store, analyze, share, and scale customer data in one collaborative hub. It supports importing recordings, notes, and user feedback, and provides automated multilingual transcription with AI-powered speaker recognition and automated captions. For analysis, Condens offers a split-screen interface that lets researchers review raw data and tag it simultaneously, along with AI-driven pattern identification across datasets and quick generation of evidence-backed findings. All research lives in a searchable, centralized repository with cross-project insight discovery, filtering, and role-based access control for managing confidential data. Condens emphasizes real-time collaboration, allowing multiple team members to build, edit, and tag data together, and integrates with tools such as Slack, Teams, Figma, and Miro, plus whiteboard functionality for interactive sessions. Additional AI capabilities include automated bookmarking, summarization, and pattern detection across multiple studies. Positioned as a lean, practical tool for researchers who want to move quickly, Condens aims to streamline the path from interview transcripts to shareable insights without the overhead of heavier enterprise systems. 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
Condens 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 | Condens | aTrain |
|---|---|---|
| Core capability | Automated multilingual transcription with speaker recognition and captions | Offline, fully local transcription with no data leaving the device |
| Standout feature | Split-screen interface for simultaneous data review and tagging | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | AI-driven pattern identification across datasets | Speaker detection/diarization using pyannote.audio |
| Integrations | Searchable centralized repository with cross-project discovery | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Real-time collaborative analysis and tagging | Graphical interface requiring no programming skills |
| Best-fit workflow | Integrations with Slack, Teams, Figma, and Miro plus whiteboards | NVIDIA GPU acceleration support |
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Condens
aTrain
It depends on your workflow. Condens is strong for transcribing and tagging user interview recordings, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
Condens 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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