London-based Trint, a startup co-founded by Emmy-winning journalist Jeff Kofman, is tackling a paint-point I know all too well: the time it takes to transcribe an interview (or any audio) accurately. To solve this particular problem the company is employing machine learning and speech-to-text technology to automate transcribing, but -- perhaps crucially -- outputting the result in a user interface that recognises that automation typically only gets the job partly done. Specifically, Trint integrates a web-based audio/video player and text editor, with the outputted automated transcription synced to the audio player's playhead. It's a deceptively simple idea but one that makes a ton of difference when checking (and editing) a transcription for accuracy. "We glue the text output of automated speech-to-text to the original source audio. And that means that you can follow it like karaoke," explains Kofman via an audio file transcribed by Trint.