You can now use automated transcription service Otter.ai to transcribe and provide closed captions for Google Meet calls with the help of a new Chrome extension. Meetings will be transcribed in real time, and transcripts will be saved right to your Otter account so you can access and share them later.
Otter.ai says the extension works with all of its plans, meaning even free users will be able to take advantage of the tool.
To set it up, first download the Otter.ai Chrome extension [here](https://chrome.google.com/webstore/detail/otterai/bnmojkbbkkonlmlfgejehefjldooiedp?hl=en). Once you’ve installed it, head over to [meet.google.com](http://meet.google.com/) and then click on the Otter extension. (You might need to click the puzzle piece icon to open the extensions menu to find it.) Then, you may be prompted to log in to use the extension, though I was already logged in when I tested it. From there, log into your meeting, tap the “record” button from the Otter extension, and you should see the transcription start to fill out in real time.
You can also activate closed captions by clicking the button with “cc” surrounded by a box in the Otter window. But Google Meet already offers a closed captions feature, which you can turn on by clicking a similar icon in the menu at the bottom of a Meet window, so picking which to use will be a matter of personal preference.
Otter.ai doesn’t just do live transcriptions of Google Meet calls; the service also integrates directly with Zoom. But to use Otter’s integrated live transcriptions in Zoom, you’ll need to be on a paid Otter and Zoom plan, unlike with Google Meet.
The Raspberry Pi Foundation’s tiny computers can be used for anything from homemade cameras to cucumber sorters, and now, the group is branching out into microcontrollers and custom silicon. [The Raspberry Pi Pico](https://www.raspberrypi.org/blog/raspberry-pi-silicon-pico-now-on-sale/) is the first step. It’s a new $4 microcontroller that’s smaller than the average Pi, features a custom chip powerful enough to be used in machine learning projects (according to The Raspberry Pi Foundation), and is on sale now.
In its introductory blog post, the company explains that today’s Raspberry Pis are already often used alongside a smaller microcontroller:
The Raspberry Pi takes care of heavyweight computation, network access, and storage, while the microcontroller handles analogue input and low-latency I/O and, sometimes, provides a very low-power standby mode.
Now, the company has one of its own.