Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. EkaScribe: EkaScribe is an AI medical scribe by Eka Care that records doctor-patient conversations and automatically generates structured clinical notes, summaries, and prescriptions. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Buzz when transcribing recorded meetings, interviews, podcasts, or lectures offline matters most, and EkaScribe when producing structured prescriptions and soap notes directly into an emr workflow 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.
EkaScribe is an AI medical scribe by Eka Care that records doctor-patient conversations and automatically generates structured clinical notes, summaries, and prescriptions.
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
EkaScribe is an AI-powered medical scribe developed by Eka Care, built for doctors and clinicians. It captures clinical consultations through live in-app voice recording or audio file upload, then transcribes the speech and converts it into structured clinical documentation such as consultation summaries, SOAP notes, and prescriptions rather than producing plain transcripts. The tool is built on Eka Care's in-house "Parrotlet" model and is designed for medical accents and noisy clinical environments, supporting 20+ languages including English, Hindi, Bengali, Telugu, Tamil, Marathi, Gujarati, Kannada, Malayalam, Punjabi, and Urdu, and handling code-mixed speech where doctors switch between English and regional languages. It is available as a web application, a Chrome extension, and a mobile app (Google Play). The Chrome extension enables one-click insertion of generated notes into web-based EMR systems, with clipboard copy-paste for offline systems, and it integrates with Eka Care's own Eka Doc EMR. It is aimed at doctors across specialties, with a particular focus on the Indian healthcare market.
Best suited for
Buzz is a free tier with paid upgrades (freemium); EkaScribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Buzz | EkaScribe |
|---|---|---|
| Core capability | Offline transcription and translation using OpenAI's Whisper | Ambient/live voice recording and audio file upload capture |
| Standout feature | Real-time transcription from microphone input | Converts speech into structured clinical notes, SOAP notes, summaries, and prescriptions |
| Team usage | Speaker identification and speech separation for noisy audio | Multilingual support for 20+ languages including code-mixed English and regional Indian languages |
| Integrations | Exports to TXT, SRT, and VTT | Built on Eka Care's in-house 'Parrotlet' AI model tuned for medical accents and noisy clinical settings |
| Languages & capture | Watch folder for automatic transcription and a command-line interface | Chrome extension for one-click note insertion into web-based EMR systems |
| Best-fit workflow | GPU acceleration via CUDA, Apple Silicon, and Vulkan | Available on web, Chrome extension, and Android mobile app |
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.
EkaScribe
Choose EkaScribe if you need doctors generating clinical notes and summaries automatically from patient consultations — strengths include purpose-built for clinical documentation, producing emr-ready structured notes rather than raw transcripts.
Buzz
EkaScribe
It depends on your workflow. Buzz is strong for transcribing recorded meetings, interviews, podcasts, or lectures offline, while EkaScribe is strong for doctors generating clinical notes and summaries automatically from patient consultations. Both transcribe and summarize meetings.
Buzz is a free tier with paid upgrades and EkaScribe 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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