Descript

Most spoken-word video doesn't need a cinematic edit. It needs the ums removed, the bad takes cut, the audio cleaned up and a few clips pulled out for social. In a traditional timeline editor, that means hours of scrubbing back and forth to find the moment someone finally said the sentence right. One LinkedIn content producer quoted on Descript's site describes exactly that pain: the tool turned "hours of timeline scrubbing into quick insights and batch social cuts." If your content is mostly people talking, the timeline is the wrong interface for most of the work you're doing.

Descript's answer is to make the transcript the editor. You drop in footage, a Zoom call or a screen recording, it transcribes it in seconds, and then you edit the video by editing the text. Delete a sentence and the clip goes with it. Filler words and retakes come out in a click, and the timeline is still there when you need finer control. Around that core sits a long list of AI tools: Studio Sound for cleaning audio, Eye Contact correction, Green Screen, Automatic Multicam, voice cloning, translation into "dozens of languages," auto captions, and generated YouTube descriptions, thumbnails and show notes. There's also Underlord, an AI co-editor you can direct to do edits for you, plus an API and MCP server so you can edit video through code or from inside your AI assistant.

The pitch is one tool for the whole pipeline: record (including remote recording through Rooms), edit, refine, share with comment links, then reformat for YouTube, TikTok and LinkedIn. It's freemium, with paid plans starting at $12/mo, and the site name-checks enterprise teams at Amazon, Canva and Salesforce. The tradeoff is that it's built for talking-head, podcast, webinar and tutorial content. If your edits live in the visuals rather than the words, the text-first model buys you much less.