Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. Hyperia: A programmable AI notetaker that joins online meetings as a participant to record, transcribe, and build searchable knowledge from conversations. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Buzz when transcribing recorded meetings, interviews, podcasts, or lectures offline matters most, and Hyperia when building a searchable archive of company conversations matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper.
A programmable AI notetaker that joins online meetings as a participant to record, transcribe, and build searchable knowledge from conversations.
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
Hyperia is an AI meeting assistant built around a programmable notetaker that can join online meetings as a participant to record, transcribe, summarize, and analyze conversations. It supports major conferencing platforms including Zoom, Microsoft Teams, and Google Meet, and can automatically detect meeting links on a connected calendar and join them, or be directed to specific meetings through more granular instructions. Beyond simple voice transcription, Hyperia is positioned as a way to build a searchable knowledge base from a company's calls and meetings, surfacing summaries, action items, and highlights from across many conversations. Its programmable API lets developers and teams direct the notetaker to join a given Zoom, Google Meet, or Microsoft Teams meeting and live-stream audio for analysis, transcription, and natural-language enrichment. Hyperia can route meeting summaries, transcripts, action items, insights, and alerts into CRMs and other SaaS tools through integrations, including via Zapier. It is aimed at teams that want both automated meeting capture and the ability to programmatically integrate meeting data into their own workflows and systems. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Buzz is a free tier with paid upgrades (freemium); Hyperia is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Buzz | Hyperia |
|---|---|---|
| Core capability | Offline transcription and translation using OpenAI's Whisper | Notetaker joins Zoom, Microsoft Teams, and Google Meet as a participant |
| Standout feature | Real-time transcription from microphone input | Automatic calendar detection and joining of scheduled meetings |
| Team usage | Speaker identification and speech separation for noisy audio | Programmable API to direct the notetaker and stream audio for analysis |
| Integrations | Exports to TXT, SRT, and VTT | Transcription, summaries, action items, and highlights |
| Languages & capture | Watch folder for automatic transcription and a command-line interface | Searchable knowledge base built from calls and meetings |
| Best-fit workflow | GPU acceleration via CUDA, Apple Silicon, and Vulkan | CRM and SaaS integrations, including via Zapier |
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.
Hyperia
Choose Hyperia if you need automatically capturing and summarizing recurring team or client calls — strengths include programmable api offers flexibility for custom workflows and integrations.
Buzz
Hyperia
It depends on your workflow. Buzz is strong for transcribing recorded meetings, interviews, podcasts, or lectures offline, while Hyperia is strong for automatically capturing and summarizing recurring team or client calls. Both transcribe and summarize meetings.
Buzz is a free tier with paid upgrades and Hyperia 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.
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