How to Edit Videos With AI in 2026
To edit a video with AI in 2026, start by defining what the finished video should be, upload or import your footage into an AI-enabled editor, use AI to transcribe and organize the footage, build or clean the rough cut, generate captions and supporting elements, then review the result manually before export. AI can now automate much of the repetitive work, but you still need to decide whether the edit communicates the right message and matches the intended style.
There is no single "AI editing" button that is best for every workflow. Different AI tools are strongest at different jobs: transcript editing, short-form clipping, professional timeline assistance, captions, audio cleanup and generative media. This guide shows the workflow first, then the tools.
Two terms are worth separating before you start. AI video editing means using AI to edit footage you already recorded. AI video generation means creating or transforming footage with generative models. Some workflows combine both — an AI-assisted cut that also drops in generated filler visuals or extended shots, for example.
1. Define the Video Before You Ask AI to Edit It
AI works better when you first decide what you're making. Before opening any tool, define:
- Audience
- Platform
- Format
- Target length
- Main message
- Footage that must stay
- Footage that should be removed
- Desired editing style
AI Video Editing Brief
This is a [type of video] for [audience] on [platform]. The finished video should be approximately [length] in [aspect ratio]. The main message is [message]. Keep [important material]. Remove [unwanted material]. Use [caption / pacing / music / visual direction].
"Make this engaging" is weaker than giving the AI a clear outcome.
Not every tool accepts natural-language instructions in this exact format. Treat the brief as a way to think through the edit — it's just as useful when you're making the decisions yourself or handing the video to someone else.
2. Let AI Transcribe and Understand the Footage
AI can transcribe video and analyze your media, which makes long recordings far easier to navigate. Instead of manually scrubbing the entire timeline, you can use AI to help search footage and organize it:
- Create a transcript
- Search spoken dialogue
- Locate specific moments
- Identify usable clips
- Organize long recordings
- Find sections without scrubbing the whole timeline
As one current example, Adobe Premiere includes AI-assisted Media Intelligence for finding footage and transcript-based tools for working with spoken content. These help you find and organize material — the decisions about the story are still yours.
3. Use AI to Build or Clean the Rough Cut
AI can support rough cuts, especially for spoken content. Useful tasks include:
- Deleting dead air
- Removing filler words
- Removing false starts
- Trimming mistakes
- Selecting usable spoken sections
- Editing from a transcript
- Creating an initial assembly
Descript allows users to edit video by editing the transcript and includes tools for filler-word removal. Adobe Premiere's transcript-based workflow lets you work with spoken content in a similar way inside a traditional timeline.
Always review automated cuts.
When automation is too aggressive, AI can remove intentional pauses, comedic timing, emphasis or context. Automatic silence removal is a starting point — not always an improvement.
4. Automate Captions and Audio Cleanup
This is where AI is particularly useful, because the tasks are repetitive.
Captions
Filler Words
Audio Cleanup
Eye Contact / Presentation Fixes
Use corrective AI carefully. A technically cleaner video is not automatically a more natural video.
5. Add B-Roll, Graphics and Generative Media
Generative AI can create or extend certain media. AI can assist with:
- Suggesting supporting visuals
- Generating images
- Creating short generated video elements
- Creating sound effects
- Filling small gaps
- Extending certain clips
- Background replacement
- Simple graphics
For example, Premiere's Generative Media tools can generate video or sound effects directly inside the timeline, while Generative Extend can add frames and audio beyond the original edge of certain clips.
Generated footage should be reviewed like any other asset.
Check realism, continuity, brand fit, factual implications, unwanted artifacts and the rights or usage requirements that apply to the tool and workflow you're using. Licensing terms differ between tools, so don't assume generated footage is cleared for every commercial use.
6. Turn Long Videos Into Short-Form Content
AI can turn long-form content into short-form candidates. It can analyze podcasts, interviews, webinars, YouTube videos and talking-head recordings, then propose shorter segments for Instagram Reels, TikTok and YouTube Shorts. AI can also support vertical reframing for those formats.
CapCut offers AI-assisted long-video-to-shorts workflows that can identify clips, generate captions and prepare vertical versions.
Treat automatically selected clips as candidates, not final editorial decisions.
AI picks moments based on patterns, not on what matters most to your audience. If you'd rather hand this off, see short-form video editing or, for episodes, podcast video editing.
7. The Most Important AI Editing Step: Review the Video
AI output should be reviewed. Fully automated editing is possible for some content — but professional results come from checking what AI removed and what it added before anything is published.
AI Video Editing Quality-Control Checklist
- Did AI remove anything important?
- Are names and product terms spelled correctly?
- Are captions accurate?
- Are cuts natural?
- Did silence removal damage timing?
- Does the opening make sense without missing context?
- Does the B-roll actually match what is being said?
- Are generated visuals accurate and appropriate?
- Is branding consistent?
- Is music at the right level?
- Are aspect ratio and framing correct?
- Are CTAs and required wording accurate?
- Does the final video still feel like the brand or person?
Verify these before publishing
- Captions and transcription
- Factual claims
- Brand consistency
- Generated assets
- Usage rights and terms for AI-generated or AI-assisted assets
AI saves time only when the output still gets reviewed.
Where AI Video Editing Is Already Very Good
Repetitive Cleanup
Searching Large Amounts of Footage
Reformatting
Repurposing
Audio Assistance
Generative Assistance
First Passes
Where AI Still Needs Human Judgment
AI is not equally suited to every editing decision. Story and taste still require judgment, and brand consistency still requires review.
Story
Taste
Context
Brand
Humor and Emotion
Ad Creative
Client Feedback
Quality Control
AI can make decisions based on patterns and instructions. The human remains responsible for deciding whether those decisions are right for this particular video.
Which AI Video Editing Tool Fits Which Job?
| Tool | Particularly Useful For | Example AI Capabilities |
|---|---|---|
| Descript | Talking-head, podcast and transcript-heavy editing | Text-based editing, filler-word removal, captions, Studio Sound, eye-contact tools |
| Adobe Premiere | Professional timeline workflows | Media Intelligence, Text-Based Editing, Generative Extend for video and ambient audio |
| CapCut | Short-form and creator workflows | Auto cutting, captions, long-form-to-short-form workflows, vertical social editing |
| OpusClip | Long-form-to-short-form repurposing | Highlight detection in long recordings, automatic captions, vertical reframing, clip scoring |
| Runway | Generative video and visual transformations | Text or image-to-video generation, video-to-video restyling, element removal and background edits |
This is not an exhaustive list. Features and pricing change quickly, so check each product's current documentation before choosing a tool.
Example AI Editing Workflows
Talking-Head / Personal Brand
- Transcribe.
- Remove mistakes and unwanted pauses.
- Review pacing.
- Generate captions.
- Add B-roll.
- Check brand style.
- Export vertical/social versions.
Podcast
- Transcribe episode.
- Identify sections.
- Clean dialogue.
- Build full episode.
- Generate candidate short clips.
- Add captions/formatting.
- Review clips manually.
YouTube
- Organize footage.
- Use transcript/search to locate useful takes.
- Build rough sequence.
- Tighten pacing.
- Add B-roll/graphics.
- Review narrative.
- Export.
Short-Form
- Start with raw footage or a long video.
- Generate candidate clips.
- Reframe vertical.
- Generate captions.
- Add approved visuals.
- Review opening and pacing.
- Export.
Ad Creative
Should You Use AI or Hire a Video Editor?
AI Editing Makes Sense When…
- You want to edit yourself
- Your workflow is relatively simple
- You are comfortable reviewing the result
- Volume is manageable
- You enjoy controlling the edit
- You mainly want repetitive tasks automated
A Human Editor Makes Sense When…
- You don't want to spend time doing the editing yourself
- Style and taste are important
- Recurring brand consistency matters
- Several videos need editing at once
- Different clients require different styles
- Feedback and revisions need interpretation
- Editing is becoming an operational bottleneck
AI + Human Editor Can Make Sense When…
- AI handles repetitive parts
- The editor handles editorial judgment, polish and QA
- The team wants technology to accelerate production rather than replace responsibility for the final result
The real choice is often not "AI or human." It is deciding which parts of the workflow should be automated and which decisions you still want a person to own.
AI and human editors can work together — the two aren't mutually exclusive.
You Don't Have to Become an AI Video Editor
For creators and businesses, there are three legitimate options: edit manually, use AI tools yourself, or outsource editing to a person or team that handles the workflow. No option is universally best.
If the goal is to save time, spending hours learning and supervising an AI workflow may eventually become its own bottleneck. At that point, outsourcing the finished editing process can make more sense than optimizing every tool yourself.
If you're considering that route, our guide on how to outsource video editing covers the handoff step by step.
Want the Finished Videos Without Managing the Editing Workflow?
85thAgency provides professional video editing. It is a U.S.-based video editing company supported by a team of 20+ editors. Clients send footage, references and creative direction, and the team handles the editing and post-production with a guaranteed 24–48 hour turnaround.
We work with creators, brands, businesses and agencies across short-form, long-form and ad creative, supporting multiple client accounts with different styles. Flexible, on-demand video credits don't expire. Clients can outsource editing instead of managing AI tools themselves — you don't need to run the editing tools at all. Hire a video editor
Frequently Asked Questions
Yes. Modern AI video editors can automate tasks such as transcription, rough cuts, silence and filler-word removal, captions, reframing, clip extraction, audio cleanup and some generative editing. The output should still be reviewed before publishing.
Define the desired video, import the footage into an AI-enabled editor, transcribe and organize the content, use AI to build or clean the rough cut, generate captions and supporting elements, then review the final edit manually before export.
There is no single best AI editor for every workflow. Descript is particularly useful for transcript-heavy spoken content, Adobe Premiere combines AI with a professional editing timeline, and CapCut is useful for short-form and creator-focused workflows. Those are examples, not an exhaustive list.
Yes. AI tools can analyze long-form content and generate candidate short clips, captions and vertical versions. The automatically selected moments should still be reviewed before publishing.
Yes. Some AI editors can detect filler words, silence and spoken mistakes and remove them automatically or semi-automatically. Review the edits so intentional timing or context is not removed.
Yes. Automatic transcription can generate captions quickly, but names, brand terms, technical vocabulary, punctuation and timing should be checked manually.
AI can automate many editing tasks, but whether it replaces an editor depends on the workflow. Simple repeatable content may need little manual work, while storytelling, brand consistency, complex feedback and recurring production can still benefit from human editorial judgment.
Yes. AI can help YouTube workflows through transcription, footage search, rough-cut assistance, dialogue cleanup, captions and repurposing. The final narrative and creative decisions still need review.
Yes. AI can help cut footage, create captions, reframe video vertically and turn longer recordings into short-form candidates for Reels, TikTok and YouTube Shorts.
Use AI yourself when you want direct control and are comfortable reviewing the output. Outsourcing can make more sense when editing becomes time-consuming, recurring, high-volume or dependent on consistent creative judgment.