How to Build a Podcast Workflow With Trint Transcripts
Turn one podcast recording into show notes, captions, quotes and articles. A repeatable Trint-based production workflow for 2026 podcast teams.
Trint is an AI transcription platform aimed at journalists. Upload an interview recording and it returns editable text in minutes, with speaker labels and timestamps. The standout feature is searching the audio by text โ click a phrase and playback jumps to that second. Paid plans start around $60/month.
Trint was founded in 2014 by journalist Jeff Kofman, who got tired of manually transcribing interviews. It uses speech recognition plus editing layers: you correct a word once and the tool can apply that fix throughout. It supports 40+ languages and exports to Word, SRT, VTT and other formats. It is a paid SaaS product with a limited free trial rather than a free tier.
For a clean single-speaker recording, accuracy is high. The usual pain points apply: heavy accents, crosstalk and noisy rooms produce errors, and technical jargon needs a custom vocabulary you set up in advance. Trint handles two-person interviews well with speaker separation.
Trint is priced for professionals, so casual users who transcribe one meeting a month will find it expensive compared with cheaper competitors or free tools. It also lacks deep meeting-integration features that tools like Otter or Fireflies offer. If you need live meeting notes rather than crisp post-recording transcripts, it is not the best pick.