Https://dovetailapp.com/ and https://condens.io/ (both excellent and specifically focused on user research). Source: almost 2 years ago

Other options include EnjoyHQ, Aurelius, and Condens. Out of those 3, I tried Condens last year and gave up on it, because the transcription quality was sub-par. When we were considering which tool to use earlier this year, the video montage option and the ability to do the analysis fully from the tool swayed us, and we ended up picking Dovetail. So it really depends on what you want the repository to do, support... Source: over 2 years ago

Look at Condens. We demo’d it last year. I like it a lot as a tool to aid in synthesis. Didn’t end up going with it because it didn’t meet all of our requirements as a team, but I was still very impressed. Source: about 3 years 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 / 4 days 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