Provide routes to send live captions to analytics servers.
This extension sends live captions to your designated servers to perform analytics and to store in a separate spreadsheet. The server can return the calculated results back to this extesion which renders the response to the screen.
Upon configuration of server destination address of your choice and explicit activation of the feature, the extension will tentatively (from v1.0.2 on) start sending captions in Google Meet and Zoom, (v1.0.3) transfer captions from the Chrome browser built-in Speech recognition in the same way as the other conferencing tools covered in this extension, and (v1.0.4) authenticate you through Google account to restrict access to the stored caption on the analytics server if implemented so.
The version, v18.104.22.168, allows you to choose to caption non-English language through browser speech recognion using Web Speech API, and indicates security risks though option dialog and its associated explanation available on the extension web site.
The latest version, v22.214.171.124, includes new features that gives the option to move around screen elements, fixes further unexpected behavior to send captions with the same time stamp, and provide the mechanism to allow other users to join the same session through token and emails. The version, v126.96.36.199, is a fix to locate Google Meet transcription area, which had been failing to identify the area. The version, v188.8.131.52, has a few of minor user interface corrections that protect the common UI element areas in online tools and keep users from placing LCA elements over the buttons of online tools. The version v184.108.40.206 has removed the URL restriction in Google Meet under which the URL has to end with hl=en to determine the interface language. V220.127.116.11 delivers a quick fix for unintended behavior that had hidden feedback from LCA when the user turns on recording.
V18.104.22.168 allows the extension to store an OpenAI API Key in variable, not in disk.
Sample code work in progress for the analytics is available on GitHub.