Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. Rafiki: AI sales intelligence platform that records, transcribes, and analyzes sales conversations to surface deal and coaching insights. 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 Rafiki when scoring and coaching reps against a defined sales methodology 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.
AI sales intelligence platform that records, transcribes, and analyzes sales conversations to surface deal and coaching insights.
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
Rafiki is an AI-powered conversation and revenue intelligence platform built for SME and mid-market revenue teams. It captures sales conversations by joining calls across Zoom, Google Meet, and Microsoft Teams, and also handles phone calls, then automatically transcribes and analyzes the audio. From each recorded conversation, Rafiki generates meeting summaries, follow-up email drafts, and call scores aligned to popular sales methodologies such as MEDDIC and BANT. Beyond individual call notes, the platform rolls conversation signals up into deal- and pipeline-level views so managers can spot risks and coaching opportunities across the team. It integrates with CRMs including Salesforce, HubSpot, Zoho, and Pipedrive to sync notes and extracted fields, reducing manual data entry for reps. Rafiki also offers AI role play for rep training and a natural-language query tool ("Ask Rafiki") for interrogating call data. It is aimed at sales leaders, account executives, SDRs, customer success managers, and frontline managers who want conversation intelligence and coaching at a lower price point than large enterprise suites. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Buzz is a free tier with paid upgrades (freemium); Rafiki is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Buzz | Rafiki |
|---|---|---|
| Core capability | Offline transcription and translation using OpenAI's Whisper | Records and transcribes calls across Zoom, Google Meet, Teams, and phone |
| Standout feature | Real-time transcription from microphone input | AI-generated meeting summaries and follow-up email drafts |
| Team usage | Speaker identification and speech separation for noisy audio | Call scoring against MEDDIC and BANT frameworks |
| Integrations | Exports to TXT, SRT, and VTT | Deal and pipeline-level conversation analysis |
| Languages & capture | Watch folder for automatic transcription and a command-line interface | CRM integrations with Salesforce, HubSpot, Zoho, and Pipedrive |
| Best-fit workflow | GPU acceleration via CUDA, Apple Silicon, and Vulkan | AI role play for rep training and a natural-language 'Ask Rafiki' query tool |
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.
Rafiki
Choose Rafiki if you need automatically capturing notes and action items from sales calls — strengths include combines note-taking, coaching, and revenue intelligence in one platform.
Buzz
Rafiki
It depends on your workflow. Buzz is strong for transcribing recorded meetings, interviews, podcasts, or lectures offline, while Rafiki is strong for automatically capturing notes and action items from sales calls. Both transcribe and summarize meetings.
Buzz is a free tier with paid upgrades and Rafiki is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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