Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. 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.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Buzz when transcribing recorded meetings, interviews, podcasts, or lectures offline matters most, and meetergo when recording and summarising meet, zoom or teams calls without a visible bot matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper.
German GDPR-focused scheduling platform whose meetergo Log component adds local, bot-free meeting transcription and AI-generated minutes.
Buzz is a widely used open-source desktop application that transcribes and translates audio offline on the user's personal computer, powered by OpenAI's Whisper. It is MIT-licensed and actively maintained, with v1.4.4 released in March 2026, and it has grown a large community with roughly 19.7k GitHub stars. Buzz runs on macOS, Windows, and Linux, with installation options including Flatpak, Snap, and PyPI. It supports both importing existing audio and video files and real-time transcription from microphone input, and it can export results in formats such as TXT, SRT, and VTT for subtitling and documentation. The app includes an advanced transcript viewer with search and playback controls, a watch folder for automatically transcribing new files, and a command-line interface for automation. It offers GPU acceleration through CUDA for Nvidia cards, Apple Silicon support, and Vulkan for many other GPUs, which makes faster transcription practical even on laptops. Buzz also provides speaker identification and speech separation for noisy audio, plus a plugin system that adds capabilities like AI-generated summaries. Because all processing happens locally, recordings and transcripts remain on the user's machine rather than being uploaded to a cloud service. Pricing varies by plan. Check the official website for current pricing.
Best suited for
meetergo is a German platform from meetergo GmbH, based in Monheim am Rhein, that combines appointment scheduling with meeting productivity tools and a strong emphasis on data sovereignty. While its core is GDPR-compliant scheduling and video conferencing, meetergo also offers meetergo Log, a desktop application focused on meeting transcription and AI-generated minutes. meetergo Log records meetings from Google Meet, Zoom and Microsoft Teams locally, processing audio on the user's device with local AI models rather than uploading streams to external servers, so participants do not see a separate recording bot in the call. It transcribes in real time, supports 40+ languages with automatic detection, and generates structured minutes that capture decisions and tasks, with full-text search across past transcripts and the ability to import existing audio files. The desktop app runs on macOS and Windows, with Linux noted as planned. meetergo positions itself as solving the two-app problem by uniting scheduling and meeting notes in one ecosystem, with company data stored on servers in Europe. As of 2025/2026 the official website resolves to a live, actively developed product. It suits European teams that want scheduling plus privacy-first local meeting transcription from a single German vendor. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Buzz is a free tier with paid upgrades (freemium); meetergo is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Buzz | meetergo |
|---|---|---|
| Core capability | Offline transcription and translation using OpenAI's Whisper | meetergo Log desktop app for local, bot-free meeting transcription |
| Standout feature | Real-time transcription from microphone input | On-device AI processing of recordings rather than uploading audio to the cloud |
| Team usage | Speaker identification and speech separation for noisy audio | Real-time transcription with 40+ languages and auto-detection |
| Integrations | Exports to TXT, SRT, and VTT | AI-generated structured minutes capturing decisions and tasks |
| Languages & capture | Watch folder for automatic transcription and a command-line interface | Full-text search across past transcripts and audio file import |
| Best-fit workflow | GPU acceleration via CUDA, Apple Silicon, and Vulkan | Integrated scheduling and video-conferencing within the same platform |
Buzz
Choose Buzz if you need transcribing recorded meetings, interviews, podcasts, or lectures offline — strengths include fully offline so audio and transcripts stay on the user's computer.
meetergo
Choose meetergo if you need european teams wanting gdpr-focused scheduling plus local meeting transcription — strengths include local, bot-free recording with a privacy-first, german/eu data approach.
Buzz
meetergo
It depends on your workflow. Buzz is strong for transcribing recorded meetings, interviews, podcasts, or lectures offline, while meetergo is strong for european teams wanting gdpr-focused scheduling plus local meeting transcription. Both transcribe and summarize meetings.
Buzz is a free tier with paid upgrades and meetergo 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.
More head-to-head comparisons involving Buzz and meetergo.
Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. CLOVA Note: South Korean AI meeting-minutes service by Naver that records meetings, transcribes speech, separates speakers, and generates summaries and action items. Below, they line up on price, capture method, and how each fits a real meeting stack.
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