Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. Gling: Gling is an AI video editing tool that transcribes recordings and automatically removes silences, filler words, and bad takes so creators can edit by editing the transcript. 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 Gling when cleaning up and transcribing podcast recordings before export to an audio file or nle 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.
Gling is an AI video editing tool that transcribes recordings and automatically removes silences, filler words, and bad takes so creators can edit by editing the transcript.
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
Gling is an AI-powered video editing platform built mainly for YouTubers, podcasters, and educators who record talking-head and dialogue-heavy content. It works by first transcribing the uploaded recording into searchable text, then letting users edit by trimming the transcript rather than dragging clips on a timeline. From that transcript, Gling automatically detects and removes long silences, filler words like "um" and "uh," and repeated bad takes, keeping the best delivery of each line. It also generates captions and subtitles, suggests YouTube-optimized titles, and creates chapter markers. The transcription engine supports many languages, including English, Spanish, French, German, Portuguese, Arabic, Chinese, Korean, and Japanese, and transcripts can be exported as SRT subtitle files. Finished edits export to MP4 or MP3, or as project files (XML/EDL) for Final Cut Pro, Adobe Premiere, and DaVinci Resolve. Gling is positioned as a workflow accelerator that turns raw footage into a polished cut faster than manual editing, with transcription serving as the foundation for its automated cuts.
Best suited for
Buzz is a free tier with paid upgrades (freemium); Gling is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Buzz | Gling |
|---|---|---|
| Core capability | Offline transcription and translation using OpenAI's Whisper | AI speech-to-text transcription of uploaded video and audio, exportable as SRT subtitles |
| Standout feature | Real-time transcription from microphone input | Automatic removal of silences, filler words, and awkward pauses |
| Team usage | Speaker identification and speech separation for noisy audio | Bad-take detection that keeps the best of repeated lines |
| Integrations | Exports to TXT, SRT, and VTT | Text-based editing: cut footage by editing the transcript |
| Languages & capture | Watch folder for automatic transcription and a command-line interface | Auto-generated captions, YouTube titles, and chapter markers |
| Best-fit workflow | GPU acceleration via CUDA, Apple Silicon, and Vulkan | Export to MP4/MP3 or project files for Final Cut Pro, Premiere, and DaVinci Resolve |
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.
Gling
Choose Gling if you need editing youtube talking-head videos by removing silences, filler words, and flubbed takes — strengths include transcript-driven editing makes cutting talking-head footage much faster than a manual timeline.
Buzz
Gling
It depends on your workflow. Buzz is strong for transcribing recorded meetings, interviews, podcasts, or lectures offline, while Gling is strong for editing youtube talking-head videos by removing silences, filler words, and flubbed takes. Both transcribe and summarize meetings.
Buzz is a free tier with paid upgrades and Gling 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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