aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. spf.io: AI captioning and translation platform for in-person, virtual, and hybrid events, supporting 100+ languages with broad streaming integrations. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist aTrain when researchers transcribing recorded interviews for qualitative analysis matters most, and spf.io when providing multilingual accessibility for webinars streamed via zoom, youtube, or obs matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
AI captioning and translation platform for in-person, virtual, and hybrid events, supporting 100+ languages with broad streaming integrations.
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
spf.io, operated by TheoTech LLC, is an AI-powered captioning and translation platform built for in-person, virtual, and hybrid events. It provides automatic live captions and real-time translation in more than 100 languages, plus AI-generated translated audio in over 70 languages, so multilingual and deaf or hard-of-hearing audiences can follow sessions in their preferred language. Output can be shown on projectors with up to four languages at once, embedded into web and app players, or accessed by attendees on mobile devices through a QR code or URL with both text and audio options. The platform integrates with common meeting and streaming tools including Zoom, Microsoft Teams, Google Meet, YouTube, Facebook Live, OBS, StreamYard, vMix, and Twitch. Beyond fully automatic captions, spf.io supports supervised and edited captioning for quality control, bidirectional translation, manuscript-based delivery, and interpreter subtitling. It offers customization such as vocabulary fine-tuning, adapted machine translation models, custom speech recognition, and profanity filtering, and it makes remote operators, professional captioners, and interpreters available as add-on services. The company publishes ongoing product updates into 2026, confirming it is actively operating. Pricing varies by plan. Check the official website for current pricing.
Best suited for
aTrain is a free tier with paid upgrades (freemium); spf.io is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | aTrain | spf.io |
|---|---|---|
| Core capability | Offline, fully local transcription with no data leaving the device | Automatic live captions and translation in 100+ languages, with translated audio in 70+ |
| Standout feature | Built on OpenAI Whisper via the faster-whisper engine | Projector display of up to four languages plus mobile QR/URL attendee access |
| Team usage | Speaker detection/diarization using pyannote.audio | Integrations with Zoom, Teams, Google Meet, YouTube, OBS, StreamYard, vMix, and Twitch |
| Integrations | Exports compatible with MAXQDA, ATLAS.ti, and NVivo | Supervised/edited captioning and bidirectional translation modes |
| Languages & capture | Graphical interface requiring no programming skills | Vocabulary fine-tuning, custom speech recognition, and adapted translation models |
| Best-fit workflow | NVIDIA GPU acceleration support | Optional professional captioners, interpreters, and remote operators as add-ons |
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
spf.io
Choose spf.io if you need captioning and translating large in-person conferences across projectors and mobile devices — strengths include very broad language coverage for both captions and translated audio.
aTrain
spf.io
It depends on your workflow. aTrain is strong for researchers transcribing recorded interviews for qualitative analysis, while spf.io is strong for captioning and translating large in-person conferences across projectors and mobile devices. Both transcribe and summarize meetings.
aTrain is a free tier with paid upgrades and spf.io 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.
More head-to-head comparisons involving aTrain and spf.io.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. aiOla: Voice AI platform for field teams that captures spoken post-meeting debriefs and pushes data into CRM. Below, they line up on price, capture method, and how each fits a real meeting stack.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. iFLYTEK AINOTE Air 2: Ultra-thin AI digital notebook from iFLYTEK that records meetings, transcribes voice to text, and syncs to a companion app. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. iFlyRec: iFLYTEK's Chinese AI transcription platform for recording-to-text, meeting minutes, and multilingual translation. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. iMemo: Cross-platform AI recorder that turns meetings, lectures, and imported files into searchable transcripts and summaries. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. ibisScribe: Japanese browser-based AI meeting minutes tool from Ibis Inc. that transcribes, identifies speakers, and auto-generates summaries without installing an app or adding a bot. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. meetXcc: Bot-free Chrome extension that joins Google Meet invisibly, transcribes in many languages, and turns conversations into structured notes, mind maps, and action items. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. meetergo: German GDPR-focused scheduling platform whose meetergo Log component adds local, bot-free meeting transcription and AI-generated minutes. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. monday.com AI Notetaker: monday.com's native AI Notetaker joins video calls to transcribe, summarize, and turn discussions into action items inside the monday.com work platform. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. myMeet.ai: AI meeting assistant that joins calls to record, transcribe, summarize, and extract action items across video platforms. Below, they line up on price, capture method, and how each fits a real meeting stack.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. noScribe: Free, open-source desktop transcriber that runs Whisper and pyannote fully locally with speaker identification and a synchronized editor. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. ownscribe: Local-first command-line tool that records, transcribes, and summarizes meetings on macOS entirely on-device, with natural-language search across notes. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.