Amberscript: Audio and video to text service offering automatic and human-verified transcripts and subtitles. Buzz: Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Amberscript when transcribing interviews, research, and media for accurate records matters most, and Buzz when generating subtitles for video content in multiple formats matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Audio and video to text service offering automatic and human-verified transcripts and subtitles.
Popular open-source desktop app that transcribes and translates audio offline on your own computer using OpenAI's Whisper.
Amberscript is a speech-to-text service that converts audio and video into text and subtitles, offering both automatic AI transcription and human-verified options. Users upload recordings and choose between editable automatic transcripts produced by speech recognition or expert-reviewed transcripts refined by professional editors for higher accuracy. The platform similarly provides subtitles in either automated or professionally edited form, including translation services, and offers a transcript editor for reviewing and correcting output. Amberscript supports a large number of languages and additionally provides a speech-to-text API and data annotation services, as well as a meeting transcription offering for capturing and converting spoken meetings into text. The combination of self-serve automatic transcription and a human-review tier lets users trade off speed against accuracy depending on the use case. Amberscript is aimed at researchers, media organizations, businesses, and public-sector users who need reliable transcripts and subtitles, including those with accuracy or accessibility requirements that justify human-reviewed output rather than automation alone. Pricing varies by plan. Check the official website for current pricing.
Best suited for
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
Amberscript is a free tier with paid upgrades (freemium); Buzz is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Amberscript | Buzz |
|---|---|---|
| Core capability | Automatic AI transcription of audio and video | Offline transcription and translation using OpenAI's Whisper |
| Standout feature | Human-verified transcript and subtitle option for higher accuracy | Real-time transcription from microphone input |
| Team usage | Subtitle generation and translation services | Speaker identification and speech separation for noisy audio |
| Integrations | Transcript editor for reviewing and correcting output | Exports to TXT, SRT, and VTT |
| Languages & capture | Speech-to-text API and meeting transcription support | Watch folder for automatic transcription and a command-line interface |
| Best-fit workflow | Automatic AI transcription of audio and video | GPU acceleration via CUDA, Apple Silicon, and Vulkan |
Amberscript
Choose Amberscript if you need transcribing interviews, research, and media for accurate records — strengths include choice between fast automatic and accurate human-reviewed output.
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.
Amberscript
Buzz
It depends on your workflow. Amberscript is strong for transcribing interviews, research, and media for accurate records, while Buzz is strong for transcribing recorded meetings, interviews, podcasts, or lectures offline. Both transcribe and summarize meetings.
Amberscript is a free tier with paid upgrades and Buzz is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
More head-to-head comparisons involving Amberscript and Buzz.
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