How to Edit Videos With AI: 5-Step Team Workflow

To edit video with AI, upload your footage, generate a transcript, cut filler and silences automatically, add captions, then export versions for each channel. AI editors speed up the rough cut and repurposing, while a human still approves the story, brand and accuracy.

Marketing teams rarely lack footage. They lack editing hours. AI video editors reduce that gap by editing from the transcript, detecting silences, finding highlight clips and generating captions. The result is a first cut in minutes, leaving people to fix the parts that need judgment.

Accessibility should be part of the workflow, not an afterthought. The W3C guidance on captions and subtitles explains why accurate captions help deaf and hard-of-hearing viewers, and the WCAG 2.2 quick reference lists the caption and audio description requirements for prerecorded media.

This guide is for marketing, training and communications teams in small and mid-sized companies. Tools come from the AI Video Editor Software category. For tool-by-tool comparisons, see our YouTube-focused list and the five-way editor comparison.

Workflow step	What AI does	Tools to consider
Rough cut	Edits from transcript, removes silences and filler	Descript, Gling, Wisecut
Collaboration and polish	Browser editing, templates, subtitles	Kapwing, Veed.io, Premiere Pro
Repurposing	Finds highlights and cuts short clips	Opus Clip, Munch
Script to video	Builds videos from text or long content	Pictory
Enhancement	Upscales and restores footage	Topaz Video AI

Step 1: Plan the Video and Prepare the Source

AI editing works best when the source is clean. Decide the audience, goal and channel first, then record with good audio, because transcript-based tools depend on accurate speech recognition and cannot fix unusable sound.

Write a one-sentence goal, such as "show new users how to set up a dashboard in 90 seconds".
Record in a quiet room and keep microphone levels consistent.
Name files clearly and store originals so you can always return to the unedited version.

Step 2: Generate a Transcript and Make the Rough Cut

Transcript-based editing lets you delete words in text to cut the video. Tools like Descript, Gling and Wisecut also detect silences and filler words, which trims the first draft quickly. Always review the cut, since AI can remove pauses that give a sentence its meaning.

Upload the footage and generate the transcript.
Correct names, product terms and jargon the speech model misheard.
Remove filler words and long silences, then watch the full result at normal speed.

Step 3: Add Captions, Branding and B-Roll

Captions are both an accessibility requirement and a practical choice, since many viewers watch with sound off. Proofread every caption, apply brand fonts and colors, and add supporting visuals where the speaker alone would feel flat.

Check that speaker changes, technical terms and numbers are correct in captions.
Use a saved brand template for fonts, logos and intro or outro cards.
Add images or screen recordings over long talking-head stretches.

Step 4: Repurpose Long Videos Into Short Clips

Repurposing turns one webinar or interview into several short clips for social channels. Opus Clip and Munch focus on finding engaging moments in long videos, but a person should pick which clips actually fit the brand and message.

Run the long video through a clip finder and review every suggested clip.
Adjust the start and end points so each clip makes sense on its own.
Resize for each channel and add captions again if the layout changed.

Step 5: Review, Approve and Export

Treat the AI output as a draft. A reviewer checks facts, brand rules, music and image rights, accessibility and the final audio, and then approves the export. This step prevents the errors that damage trust, such as a wrong figure or a misquoted customer.

Verify every claim, price and statistic against the source.
Confirm you hold rights to music, stock footage and any AI-generated assets.
Export in the formats each channel needs and keep the project file.

How Much Time Does AI Editing Save?

Measure it for your own workflow. Time one video edited the old way and one with AI over several weeks, then compare the total effort including review, because review time is real and often forgotten.

Hours saved per month = (H_manual − H_AI) × V

H_manual is hours per video without AI, H_AI is hours per video with AI including review, and V is videos per month. Multiply by an hourly cost to estimate savings, then compare that with the subscription price.

Which Tool Should You Start With?

Start with the step that costs you the most time and pick a tool built for it. Talking-head content suits transcript editors, webinars suit clip finders and collaborative teams suit browser editors. Many offer freemium plans, with listed starting prices from $12 to $49 as of November 2026.

For talking-head content, try Descript or Gling first.

Run a one-week pilot with a single real project before buying seats. Compare the first cut quality, caption accuracy and export options, and ask the team which tool they would actually open again.

Frequently Asked Questions

Can AI replace a professional video editor?
Not fully. AI speeds up rough cuts, captions and clip finding, but people still decide the story, check accuracy and protect brand quality. Most teams use AI to cover routine work and keep editors for high-value projects.

How much does AI video editing software cost?
SaaSPodium lists many tools with freemium plans and paid starting prices between $12 and $49 for the tools in this guide as of November 2026, while Topaz Video AI is listed at $299. Check each vendor for current plans.

Are AI-generated captions accurate enough to publish?
Not without review. Speech recognition struggles with names, accents and jargon, so proofread every caption before publishing, especially for accessibility compliance.

How to Edit Videos With AI: A 5-Step Workflow for Marketing Teams