aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. quso.ai: All-in-one AI suite that transcribes and repurposes podcasts, interviews, and webinars into short clips, subtitles, and social posts. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist aTrain when researchers transcribing recorded interviews for qualitative analysis matters most, and quso.ai when repurposing a podcast transcript into social posts and carousels matters most. Try them side by side on real calls before deciding — needs vary by team.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
All-in-one AI suite that transcribes and repurposes podcasts, interviews, and webinars into short clips, subtitles, and social posts.
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
quso.ai, formerly known as vidyo.ai, is an all-in-one social media AI suite that transforms long-form recordings into short-form clips and accompanying written content. It transcribes uploaded videos and audio and uses scene detection and highlight extraction to surface the most engaging moments, then generates vertical clips with animated, multi-language subtitles available in many caption styles. Although it serves general social media creators, the platform explicitly handles podcasts, interviews, and webinars, making it relevant for repurposing recorded conversations and sessions rather than only scripted video. From a transcript it can produce text-based social posts and carousels, AI captions, and hashtags, and its text-based editor lets users trim footage and remove filler words without traditional timeline editing. A built-in B-roll library, content planning, scheduling across multiple social platforms, and analytics round out the workflow so a single recording can move from upload to published posts in one dashboard. quso.ai is actively operating in 2025/2026, with its marketing materials citing a multi-million-user base. It is best suited to creators, coaches, and business teams who record interviews, podcasts, or webinars and want to turn them into distributable short-form content with transcription handled automatically. Pricing varies by plan. Check the official website for current pricing.
Best suited for
aTrain is a free tier with paid upgrades (freemium); quso.ai is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | aTrain | quso.ai |
|---|---|---|
| Core capability | Offline, fully local transcription with no data leaving the device | Automatic transcription of uploaded podcasts, interviews, and webinars |
| Standout feature | Built on OpenAI Whisper via the faster-whisper engine | AI clip generation using scene detection and highlight extraction |
| Team usage | Speaker detection/diarization using pyannote.audio | Multi-language animated subtitles with many caption styles |
| Integrations | Exports compatible with MAXQDA, ATLAS.ti, and NVivo | Text-based video editing with filler-word removal |
| Languages & capture | Graphical interface requiring no programming skills | Repurposing transcripts into social posts, carousels, captions, and hashtags |
| Best-fit workflow | NVIDIA GPU acceleration support | Scheduling, B-roll library, content planning, and analytics across platforms |
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
quso.ai
Choose quso.ai if you need turning a recorded interview or webinar into captioned short-form clips — strengths include handles interview, podcast, and webinar recordings, not just scripted video.
aTrain
quso.ai
It depends on your workflow. aTrain is strong for researchers transcribing recorded interviews for qualitative analysis, while quso.ai is strong for turning a recorded interview or webinar into captioned short-form clips. Both transcribe and summarize meetings.
aTrain is a free tier with paid upgrades and quso.ai 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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