As a completely open source project, Very Fast Dictation gives users full freedom of customization. The project source code is hosted on the GitHub platform under the MIT license, allowing users to freely modify, distribute and even use it for commercial purposes. This openness brings three important values: technical transparency ensures no privacy risks, community collaboration promotes continuous functionality improvement, and modular design facilitates personalized customization.
In terms of customization possibilities, experienced developers can implement a number of extensions: modify shortcut key combinations to adapt to different operating habits; integrate more speech recognition models to support multi-language scenarios; add pre-processing modules to optimize the recognition accuracy of specific scenarios; and even integrate into automated workflows to achieve more complex text processing. The project document lists the interface descriptions of the core modules in detail, and the main.py file contains the main control logic.
The open source ecosystem has spawned several derivative versions: some users have added integration of the Dragonfly model for accurate recognition of medical terminology; some developers have ported a special version for meeting recordings that automatically adds timestamps and speaker tags; and an improved version for the education sector adds easy spell checking. These examples demonstrate the potential for innovation brought about by the open source model.
This answer comes from the articleVery Fast Dictation: a fast speech-to-text tool for MACsThe
