CaptionKit: CaptionKit is an AI-powered platform that generates real-time captions and multilingual translations for live spoken sessions, built primarily for churches and faith-based services. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CaptionKit when providing live captions for deaf and hard-of-hearing attendees during services or events matters most, and aTrain when universities and public bodies needing gdpr-friendly local transcription matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
CaptionKit is an AI-powered platform that generates real-time captions and multilingual translations for live spoken sessions, built primarily for churches and faith-based services.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
CaptionKit is a browser-based platform that produces live, AI-generated captions and translations during spoken sessions, designed primarily for churches and other faith-based organizations serving deaf, hard-of-hearing, and multilingual audiences. A host starts a captioning session from the web dashboard, and the system transcribes speech in 65+ languages and translates it into 85+ languages, including a bilingual English and Spanish mode. Attendees follow along by joining a shared web link or QR code, or through the free iOS and Android apps; captions can also be displayed on screen as lower-third overlays or full-screen scrolling text. It integrates with common presentation and streaming software including ProPresenter, OBS, vMix, FreeShow, and Worship Extreme, and supports automation via cURL and Bitfocus Companion. Accuracy can be improved with boosted keywords for names and uncommon terms, and the platform records session history. No installation is required, making it suited to live in-person or streamed events where on-screen accessibility and language access matter.
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
CaptionKit 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 | CaptionKit | aTrain |
|---|---|---|
| Core capability | Real-time AI speech-to-text captioning in 65+ languages | Offline, fully local transcription with no data leaving the device |
| Standout feature | Live translation into 85+ languages, including bilingual English/Spanish mode | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Attendee access via web link, QR code, or free iOS and Android apps | Speaker detection/diarization using pyannote.audio |
| Integrations | On-screen display options (lower-third overlays, full-screen scrolling captions) | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Integrations with ProPresenter, OBS, vMix, FreeShow, and Worship Extreme | Graphical interface requiring no programming skills |
| Best-fit workflow | Boosted keywords to improve accuracy for names and uncommon terms | NVIDIA GPU acceleration support |
CaptionKit
Choose CaptionKit if you need providing live captions for deaf and hard-of-hearing attendees during services or events — strengths include browser-based with no installation required for hosts or attendees.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
CaptionKit
aTrain
It depends on your workflow. CaptionKit is strong for providing live captions for deaf and hard-of-hearing attendees during services or events, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
CaptionKit 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.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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