project
Buzz - A free and open-source AI speech-to-text tool
Buzz is an offline speech-to-text tool built on the OpenAI Whisper model, available for Windows, macOS, and Linux systems. Buzz can convert microphone input or audio/video files into text in real time, supporting multiple...
What is Buzz?
Buzz is an offline speech-to-text tool built on the OpenAI Whisper model, available for Windows, macOS, and Linux systems. Buzz can convert microphone input or audio/video files into text in real time, supporting various import and export formats such as TXT, SRT, and VTT. Buzz boasts fast conversion speed, high accuracy, multi-language recognition, and can translate the results into English.
Buzz's main functions
- Real-time speech-to-textBuzz can convert the voice captured by the microphone into text in real time, which is suitable for scenarios such as meeting minutes and interviews.
- Audio and video file transcriptionIt supports converting various audio and video file formats into text, facilitating subsequent editing and analysis.
- Multilingual supportBuzz not only supports Chinese, but can also recognize and process languages from multiple countries, making it an international language.
- Export line-by-line or word-by-word subtitlesUsers can choose the export format as needed, including line-by-line subtitles (SRT) or word-by-word subtitles (VTT).
- Translation functionCurrently, Buzz only supports translating the recognition results into English.
- Offline operationAll speech transcription and translation processes are performed locally, without requiring an internet connection, thus protecting user privacy.
How to use Buzz
- Download and install:Visit BuzzProject address.Choose the appropriate installation package based on your operating system to download and install.
- Start Buzz:After installation, launch the Buzz program. If it's the command-line version, you'll need to run it in the terminal or command prompt.
- Download Whisper model(If needed):When using Buzz for the first time, you will need to download the Whisper model. Models come in different sizes and language capabilities; choose the appropriate model based on your needs.
- Import audio or video files:You can select the "Import" function through Buzz's graphical user interface, or specify the file path using command-line arguments.
- Start conversion:Select conversion settings, such as output format (TXT, SRT, VTT, etc.), and start the conversion process.
- Get Results:After conversion, check the generated subtitles or text files. Ensure the timestamps and text content match.
Buzz's project address
- Project official website:https://chidiwilliams.github.io/buzz/docs
- Github repository:https://github.com/chidiwilliams/buzz
- Buzz installation package:https://github.com/chidiwilliams/buzz/releases
Buzz's application scenarios
- Video subtitle creationIt can quickly generate subtitles for video content, improving production efficiency, and is especially suitable for video bloggers and content creators.
- Interview transcript compilationJournalists and researchers can convert interview audio into text, making it easier to edit, analyze, and cite.
- Language learning aidsLanguage learners can use Buzz to transcribe native speakers' pronunciation and learn the rhythm and intonation of the language.
- Meeting minutesUse Buzz to record discussions during meetings, quickly generate meeting minutes, and improve recording efficiency.
- academic researchResearchers can use Buzz to transcribe research-related lectures or discussions for use in subsequent research.