Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. Velaris: Customer success platform that analyzes meeting transcripts and customer conversations into actionable 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 Velaris when teams spotting early churn risk from meeting and message signals matters most. Run both through a week of actual calls to see which suits your workflow.
Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper.
Customer success platform that analyzes meeting transcripts and customer conversations into actionable 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
Velaris is an AI customer success platform that consolidates account health, product usage, and engagement signals, and includes capabilities for capturing and analyzing customer conversations. Its meeting and communication analysis can listen to meetings, create follow-up tasks, and turn meeting transcripts, emails, and chats into structured insights, surfacing context that would otherwise stay buried in call recordings and inboxes. Features such as call analysis and conversation summaries reduce the manual effort customer success managers spend recapping calls, while topic and signal dashboards highlight early churn risk, product feedback, and expansion opportunities across accounts. Velaris is built for customer success and account management teams at B2B SaaS companies with recurring revenue, where understanding the substance of customer meetings is central to retention. The platform integrates with many other tools so conversation insights connect to the broader customer record. It is actively operating in 2025 and 2026, with current customer logos, active integrations, and recent industry recognition, positioning its meeting analysis as part of a vertical customer success workflow. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Buzz is a free tier with paid upgrades (freemium); Velaris is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Buzz | Velaris |
|---|---|---|
| Core capability | Offline transcription and translation using OpenAI's Whisper | Analysis of customer meeting transcripts and conversations |
| Standout feature | Real-time transcription from microphone input | Automatic follow-up task creation from meetings |
| Team usage | Speaker identification and speech separation for noisy audio | Conversation summaries that reduce manual recap work |
| Integrations | Exports to TXT, SRT, and VTT | Topic and signal dashboards for churn and expansion cues |
| Languages & capture | Watch folder for automatic transcription and a command-line interface | Integrations with many customer success and communication tools |
| Best-fit workflow | GPU acceleration via CUDA, Apple Silicon, and Vulkan | Analysis of customer meeting transcripts and conversations |
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.
Velaris
Choose Velaris if you need cs managers turning customer calls into structured follow-ups — strengths include connects meeting insights to overall account health.
Buzz
Velaris
It depends on your workflow. Buzz is strong for transcribing recorded meetings, interviews, podcasts, or lectures offline, while Velaris is strong for cs managers turning customer calls into structured follow-ups. Both transcribe and summarize meetings.
Buzz is a free tier with paid upgrades and Velaris 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.
More head-to-head comparisons involving Buzz and Velaris.
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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