Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. Podsqueeze: AI tool that transcribes podcasts, interviews, and video recordings and repurposes them into show notes, summaries, clips, and social posts. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Buzz when transcribing recorded meetings, interviews, podcasts, or lectures offline matters most, and Podsqueeze when generating show notes, summaries, and social clips from a recorded conversation 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 tool that transcribes podcasts, interviews, and video recordings and repurposes them into show notes, summaries, clips, and social posts.
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
Podsqueeze is an AI-powered podcast production and repurposing platform built to turn a single long-form audio or video recording into a range of derivative assets. Its transcription engine converts conversations into text with automatic speaker identification and exports SRT subtitle files, which makes it usable for interview shows, panel discussions, and multi-host recordings as well as solo episodes. From a transcript, the tool can generate timestamped show notes, episode titles, summaries, blog drafts, newsletters, and social media posts, and it can cut short video clips and audiograms sized for vertical platforms such as TikTok, Instagram, and YouTube Shorts. Additional capabilities include one-click audio cleanup to remove filler words and silences, folder-based organization for managing multiple shows, and customizable AI tuning so output can be aligned with a brand voice before publishing. Podsqueeze also exposes a transcription API for developers who want to embed its speech-to-text into their own workflows. The product is actively operated, with its site referencing a large active-user base and a 2026 copyright. It is best suited to podcasters, agencies, and teams that record interviews or conversations and want to scale transcription and content output without manual editing. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Buzz is a free tier with paid upgrades (freemium); Podsqueeze is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Buzz | Podsqueeze |
|---|---|---|
| Core capability | Offline transcription and translation using OpenAI's Whisper | AI transcription with automatic speaker identification and SRT subtitle export |
| Standout feature | Real-time transcription from microphone input | One-click repurposing into show notes, summaries, blog posts, newsletters, and social posts |
| Team usage | Speaker identification and speech separation for noisy audio | Short-form video clip and audiogram generation for vertical platforms |
| Integrations | Exports to TXT, SRT, and VTT | One-click audio cleanup to remove filler words and silences |
| Languages & capture | Watch folder for automatic transcription and a command-line interface | Transcription API for developers |
| Best-fit workflow | GPU acceleration via CUDA, Apple Silicon, and Vulkan | Multi-show folder organization and customizable AI voice tuning |
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.
Podsqueeze
Choose Podsqueeze if you need transcribing and repurposing interview-style podcast episodes — strengths include single recording can be turned into many content formats with one click.
Buzz
Podsqueeze
It depends on your workflow. Buzz is strong for transcribing recorded meetings, interviews, podcasts, or lectures offline, while Podsqueeze is strong for transcribing and repurposing interview-style podcast episodes. Both transcribe and summarize meetings.
Buzz is a free tier with paid upgrades and Podsqueeze 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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