Otter.ai uses an AI Meeting Assistant to transcribe meetings in real time, record audio, capture slides, extract action items, and generate an AI meeting summary.
Based on our record, Quicksilver seems to be a lot more popular than Otter.ai. While we know about 13 links to Quicksilver, we've tracked only 1 mention of Otter.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are these open source alternatives, I haven’t checked their privacy policies or their code Maybe try and report back? Https://www.cerebroapp.com Https://qsapp.com Https://ueli.app Https://github.com/ParthJadhav/Verve. Source: about 1 year ago
Should add Quicksilver. It's the first app I install on my Macs. Source: about 1 year ago
Spotlight-esque apps for enhanced keyboard driven productivity (pick one): Raycast Alfred Quicksilver. Source: about 1 year ago
For a browsable clipboard history on macOS, I recommend LaunchBar (https://www.obdev.at/products/launchbar/; docs at https://www.obdev.at/resources/launchbar/help/ClipboardHistory.html). I used to use the Clipboard Plugin of the free and open source app Quicksilver (https://qsapp.com/), which worked fine but was slightly less streamlined. Some people prefer Alfred (https://www.alfredapp.com/help/features/clipboard/). - Source: Hacker News / over 1 year ago
This is great. Reminds me of QuickSilver[1]. I'm evaluating HomeRow[2] for a VIM driving the Mac OS, will try this as well. I love how: a. Accessibility features are making the OS more accessible for everyone through automation b. Good the accessibility implementation is on the Mac that most applications are inherently compatible with solutions like this. [1]: https://qsapp.com/ [2]: https://www.homerow.app/. - Source: Hacker News / over 1 year ago
Some good transcription solutions: https://zapier.com/blog/best-text-dictation-software/#windowsspeech https://otter.ai/ (Haven't actually tried Otter, but it gets a LOT of good reviews.). - Source: Hacker News / 1 day ago
Of course, there are many existing solutions like Otter.ai or Fathom in the market. But in case you want to build a tool yourself and customize the output of it, then you are on the same page as me. To develop this application, we will use Unbody to convert input video transcriptions into intelligence/generative content and Appsmith to make it easy to design and build the UI of our app without extensive front-end... - Source: dev.to / 6 months ago
This is weird but I wonder if you could use something like https://otter.ai/. Record your notes as you are going. That should give you at least text of all of your welds. You’d still have to punch it later. Seems like there’s got to be a better way to do this. Stopping every time to break your flow sounds like a huge pain in the ass. Curious what you come up with. Source: 6 months ago
Is there any app from otter.ai that you run on personal machine? How does otter.ai process 4 different audio streams? Source: 6 months ago
Job laptop -> 3.5mm aux (this turns into speaker output) -> 3.5mm mic/audio splitter (this turns into microphone input) -> 3.5mm to usb-c adapter (cause my macbook only has 1 3.5mm aux) --> now the personal macbook has a new "mic input" from the job laptop. Which you can use to pipe audio into otter.ai to transcribe audio. You have to manually name them, but they learn in subsequent meetings. Source: 6 months ago
Keypirinha - A lightning fast and flexible keystroke launcher for Windows. No installation required (portable).
HappyScribe - Happy Scribe automatically transcribes your interviews
Listary - Listary is a revolutionary search utility for Windows
Sonix - Automatically convert audio & video to text in minutes
Alfred - Alfred is an award-winning app for macOS which boosts your efficiency with hotkeys, keywords, text expansion and more. Search your Mac and the web, and be more productive with custom actions to control your Mac.
Audext - Use online audio to text converter to transcribe any voice recording in minutes.