The Best AI for Editing Videos in 2026
Our video editing guide is live, and for this thread I want to share the part of the testing that did not fit the format of a buying guide: the stopwatch data. We ran the same one-hour podcast edit through every major tool and timed each stage, because "saves time" is the claim every AI editor makes and almost none of them quantify.
Full guide with all eight tools, the project-type matrix, and the studio adoption section is here: <https://whataidoineed.com/best/ai/for/video-editing>
**The same edit, timed.**
The job: one-hour two-person interview, cut to roughly 25 minutes, cleaned audio, captions, plus three vertical clips for social. Our editor's traditional Premiere baseline before AI features: around six hours.
Descript: roughly 1 hour 45 minutes total. The transcript cut did the structural edit in about 40 minutes, Studio Sound was one click, and most of the remaining time was reviewing the AI's work and picking the social clips.
ChatCut: similar territory, around 1 hour 50, with the interesting difference that the first 30 minutes felt like delegating rather than editing ("remove the pauses, cut everything before the intro, find the three strongest quotes"). The review burden was slightly higher.
Premiere with the current AI features: about 3 hours. Text-based editing has genuinely closed some of the gap, and the polish stage was the fastest of any tool. The structural cut is still slower than the AI-native editors.
CapCut: about 3.5 hours, and the captions needed the most correction of anything we tested. For zero dollars, still remarkable.
Resolve: about 4 hours for this job, which is the wrong job for Resolve. Give it the colour-heavy product ad from our other test and it embarrasses everything else.
**The number that mattered more than total time: cleanup ratio.**
Raw speed is misleading if you spend the savings fixing AI mistakes. The useful metric was how much of the AI's work survived review untouched. Descript's silence and filler removal survived almost entirely. Auto-captions survived 90-something percent in Descript and noticeably less in CapCut. The generative features (extend, inpainting) had the lowest survival rate and the highest wow factor, which is roughly the story of generative AI everywhere.
**The two-tool pattern kept winning.**
Almost every professional workflow we observed settled into the same shape: an AI-native tool for the labour (the cut, the cleanup, the captions) and a traditional editor for the finish. Descript into Premiere. ChatCut into Resolve. Trying to make one tool do both jobs was consistently slower than the handoff, which surprised us given how much friction a handoff adds.
**One unglamorous warning for anyone editing client work.**
Most AI editing features are cloud-processed, which means client footage goes to someone else's servers. We read the terms of service so you do not have to, and the short version is: some of them are looser than a standard client NDA. Check before confidential footage goes through, or stay with Premiere and Resolve, which do most AI work locally.
**For the thread:**
Editors: what is your before-and-after time on a typical project since adding AI to the workflow, and which single feature carries most of the saving? Trying to build a bigger sample than our one editor and three projects.
And for anyone who has tried the conversational editors (ChatCut and friends): does describing edits in English actually stick for you, or do you drift back to the timeline? Our tester was split down the middle and I suspect it depends on how your brain holds a cut.