A Complete Solution for Offline Voice Input with CapsWriter-Offline
For efficient speech input in network-less environments, CapsWriter-Offline offers a complete solution. The tool is based on a locally deployed speech recognition model, which is set up in the following steps:
- Model Preparation: Download the models.zip file from GitHub Releases and unzip it into the models folder in the software directory. These are the core models that support offline recognition.
- Hardware configuration: Ensure that the device meets the minimum 4GB RAM requirement (64-bit systems), and it is recommended that an external microphone be used to enhance the pickup quality.
- Operational optimization: Adjust the recording parameters via config.py, set shortcut to change the shortcut key, and set paste to True to automatically paste the recognition results.
- Hotword Optimization: Add specialized terminology to hot-zh.txt and hot-en.txt to improve domain-specific recognition accuracy
- Emergency program: If the recognition is not satisfactory, try to re-record (keep it for more than 0.3 seconds) or post-process it through a local Python script.
Typical workflow: press the modified shortcut key (CapsLock by default) to start recording → speak the content to be transcribed → the text is automatically inserted into the current application when the key is released. The recognition results are synchronized and saved to a Markdown diary sorted by date for content archiving.
This answer comes from the articleCapsWriter-Offline: Speech Input and Subtitle Transcription Tool for the PCThe
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