Most of my friends at Canva and Atlassian swear by Dovetail (dovetail.com) which was pretty much built for this workflow. Source: 6 months ago

2 - DoveTail: Qual study tool; really love this one and it has a lot of features. Auto-transcription, sentiment analysis, and customizable data organization to streamline research analysis. Source: 6 months ago

Dovetail. We have played with this for our studies and really like it, it creates video clips out of your time stamps. https://dovetail.com/. Source: about 1 year ago

Nice way to visualize your research. There is also an app called Dovetail where you can also tag and organize findings. Source: over 1 year ago

Https://dovetailapp.com/ and https://condens.io/ (both excellent and specifically focused on user research). Source: about 2 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 / 11 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