Anarlog: Open-source, local-first AI meeting notepad (formerly Hyprnote) by Fastrepl that records and summarizes private meetings on your own device with no bot. 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 Anarlog when engineers and developers wanting private, bot-free meeting 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.
Open-source, local-first AI meeting notepad (formerly Hyprnote) by Fastrepl that records and summarizes private meetings on your own device with no bot.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Anarlog is an open-source, local-first AI meeting notetaker developed by Fastrepl, Inc., the team behind the project previously known as Hyprnote and Char. It is positioned as an open-source alternative to cloud meeting-notes tools and is designed for people who want to keep meeting data under their own control. Instead of sending a bot into a call, Anarlog captures system audio directly on the user's computer, transcribes it locally, and merges the transcript with short notes the user jots down during the meeting to produce structured, editable summaries with action items. Audio, transcripts, and notes are stored as files on the local disk rather than in an external service, and users can choose between running local AI models or supplying their own API keys for cloud processing. The application is available for Apple Silicon Macs and its codebase is published on GitHub under a GPL license, so it can be inspected, forked, and self-hosted. Anarlog is best for engineers, privacy-conscious professionals, and teams that want bot-free meeting notes with full ownership of their data. 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
Anarlog 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 | Anarlog | aTrain |
|---|---|---|
| Core capability | Bot-free capture via local system-audio recording | Offline, fully local transcription with no data leaving the device |
| Standout feature | Local transcription with notes merged into structured summaries | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Data stored as files on the user's own device | Speaker detection/diarization using pyannote.audio |
| Integrations | Choice of local AI models or bring-your-own API keys | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Open-source codebase available on GitHub | Graphical interface requiring no programming skills |
| Best-fit workflow | Action-item extraction from meeting notes | NVIDIA GPU acceleration support |
Anarlog
Choose Anarlog if you need engineers and developers wanting private, bot-free meeting notes — strengths include open source with a publicly available codebase.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Anarlog
aTrain
It depends on your workflow. Anarlog is strong for engineers and developers wanting private, bot-free meeting notes, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
Anarlog 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.
You can — some teams pair them when each covers a different part of the meeting workflow.
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