You've shot your footage, you've got your script, and now you have to edit. This is usually where projects die: cutting the silences, syncing the captions, finding music, exporting the right format for TikTok and then again for YouTube. AI now handles a good chunk of that work — but not all of it. It's very effective on repetitive tasks (transcription, captions, dead-air removal, auto-reframing, audio cleanup) and noticeably weaker on pacing, intent and shot selection, which is exactly what makes a video enjoyable to watch.
This article walks you through three concrete methods for editing a video with AI, what each one costs, how long it actually takes, and a six-step workflow you can reuse on every video you make. No technical skills required: if you can send a file from your phone, you can start today.
What AI can do in a video edit (and what it gets wrong)
AI handles the mechanical parts of editing very well: transcription, captions, silence removal, reframing, audio cleanup. It handles pacing, intent and shot selection badly — those stay your job.
An edit isn't one action, it's a series of micro-tasks. Here's which ones are reliable today and which ones still need your eye.
| Task | What AI does | Real-world reliability |
|---|---|---|
| Transcription and captions | Generates text synced to the voice | Good: expect a few fixes on proper nouns and technical terms |
| Silence removal | Cuts dead air, hesitations and “um” | Good, but review it: it sometimes cuts breaths you needed |
| 16:9 to 9:16 reframing | Tracks the face or the main subject | Good with one person, hit-or-miss with several |
| Audio cleanup | Removes background noise, echo, hiss | Excellent — this is the most immediate win |
| B-roll generation | Creates illustrative images or clips | Variable: you'll sort through it and often re-run it |
| Shot selection and pacing | Proposes a full automatic edit | Weak: the result is flat, the calls are yours to make |
The practical takeaway is simple. On a two-minute short video, AI absorbs the thankless part (transcribe, caption, clean, resize) in a few minutes, whereas those steps easily eat an hour by hand. But if you also hand it the decision of what stays on screen, you get a video that's technically fine and boring to watch. The right instinct: AI for execution, you for the decisions.
A note on vocabulary, because it causes a lot of confusion. “AI video editing” actually covers two different things: editing assistance (you have footage, AI helps you assemble it) and video generation (you shot nothing, AI builds the images from a text prompt). These are two distinct crafts, and often two distinct tools. If it's the second one you're after, start instead by understanding how to generate a video from text.
Method 1: Edit in an environment where the AI tools are already bundled together
The most efficient method for a beginner is working in a space where the AI tools are already connected and paid for: you generate the shots, the voice-over and the music in the same place, then you edit — without stacking up five subscriptions.
The real obstacle when you start isn't technical difficulty, it's accumulation. An image generator, a video generator, a voice-over tool, royalty-free music, a captioning tool: each bills €15–30 per month, and you're at €100 a month before you've published anything at all. That's without counting the time spent creating accounts, learning interfaces and shuttling files from one to the next.
That's the principle behind Skilzy's AI Lab: the tools are built into the platform with credits included. You follow a program that teaches you the method, and you apply it immediately in the same tab, on your own project. Concretely, for a short video aimed at Instagram or TikTok, you run through: script, shot generation, voice-over, music, then assembly and captions.
The platform has more than fifteen programs (image creation, UGC videos, faceless YouTube channels, talking avatars, voice-over, music, automation with n8n, prompt writing, AI-assisted coding). For editing social video, the most direct entry point is the program on creating UGC videos with AI, which goes from the script all the way to the published video, vertical format included.
Two concrete things before you dive in:
- Try it without a credit card. The discovery demo gives you 7 days with 1 image, 1 video, 1 music track and 10 messages. You do need to create an account, but no credit card is required. That's enough to check the output quality suits you before paying for anything.
- Pricing and funding. The subscription starts at €29.90 per month, no commitment. Two certifications are state-recognized and therefore eligible for funding: RS7439 (content marketing with AI) and RS6792 (AI and sales). You can verify that they exist and what they cover directly in the official France Compétences registry. There's also a B2B track for training organizations that want to fold these paths into their own offering.
This method has a limit, and it's worth saying: if you're already an editor working on long projects with dozens of tracks, you'll stay on professional software. It's built for social video — short, produced in volume.
Method 2: Consumer AI video editors
If you already have your footage and just want to cut it together, a standard AI video editor does the job — often for free for simple use.
These tools assume the raw material already exists. They automate the assembly, not the creation.
- CapCut: the most widely used for vertical formats. Automatic captions, background removal, smart reframing, a template library. The free version covers most needs; advanced AI features and watermark-free export are paid.
- Descript: editing by text. The tool transcribes your video, you delete a word in the transcript and the matching footage disappears from the timeline. Ruthlessly efficient for interviews, filmed podcasts and tutorials.
- Adobe Premiere Pro: the professional standard, which now offers the same text-based editing principle. Powerful but dense, and the subscription sits in a different price bracket. The official text-based editing documentation explains how it works in detail.
- Opus Clip and similar tools: you drop in a long video and the tool automatically pulls out short clips with captions and vertical reframing. Useful for recycling a livestream or a podcast. The waste rate stays high: out of ten suggested clips, two or three are genuinely publishable.
Quick way to choose: short formats and speed, take CapCut; lots of talking to cut down, take a text-based editor; recycling long content, take a clip-extraction tool. And if your end goal is publishing regularly, the next step is to automate posting to social media — otherwise the time you saved editing gets swallowed by uploading.
Method 3: The automatic editor already sitting in your phone
Your phone already contains a free automatic editor, and for a simple video it's more than enough.
This is the option most articles forget to mention, even though it costs nothing and is already installed.
On iPhone, the Photos app builds “Memories” automatically from your videos and images, with music and transitions. iMovie, free on the App Store, adds “Magic Movie” mode: you select clips and the app generates a paced edit you can then adjust shot by shot. On Android, Google Photos creates automatic videos around a theme or a person, and Samsung phones include an editor with automatic suggestions right in the Gallery.
What it does well: assembling clips in chronological order, landing cuts on the music, adding a title, exporting straight to the right format. All in three minutes, with no account to create and no credits to burn.
What it doesn't do: generate images that don't exist, produce a convincing voice-over, write captions in a custom style, or sustain a publishing rhythm of several videos a week. The moment you go from memory video to content video, you hit the ceiling fast. But for a first video, test this option before paying for a subscription: at least you'll know what else you actually need.
The 6-step workflow that works every time
A successful AI edit always follows the same order: write first, edit second, dress it up last. Reversing those steps is the number one cause of failed videos.
- Write the script before you film or generate anything. Three sentences are enough for a 30-second video: a hook, one useful point, one action to take. That text determines the final runtime, not the edit.
- Gather the raw material. Either you film it, or you generate the shots with AI, or you mix both. Always plan for 30% more footage than you think you'll use.
- Get it transcribed. The transcript is the backbone of modern editing: it feeds the captions, the cutting and the description on your post.
- Cut. Remove the silences, the hesitations and above all the first five seconds if they don't hook. A short video is won or lost in the first three seconds.
- Add the sound. Audio cleanup first, voice-over next if needed, music last and at low volume. If you're producing in a language where tone and accent matter, that choice is decisive: we compared the results in our test of AI voice-overs.
- Dress it up and export. Readable captions (large, centered, two or three words at a time), one format per platform; 1080p is plenty in almost every case.
Budget 20 to 30 minutes for a short video once the workflow is dialed in, versus two hours of classic manual editing. The real win isn't the speed of one video, it's being able to publish ten a week without spending every evening on it. To apply this workflow to vertical formats, our guide on creating Reels and TikToks with AI breaks down the settings platform by platform.
The mistakes that ruin an AI edit
Most disappointing AI videos fail for reasons of method, not technology.
- Trusting automatic captions without proofreading them. Transcription slips up on proper nouns, brand names and run-together words. Thirty seconds of proofreading saves you from a nonsense line displayed in huge letters on screen.
- Letting AI choose the pacing. Automatic edits produce shots of uniform length, which feels mechanical. Vary it manually: one long shot, two short ones.
- Piling on effects because they're available. Zooms, transitions, filters: every one added “because the tool offers it” pushes the viewer further from your message.
- Generating the images before writing the text. You end up with pretty shots that say nothing, and then spend an hour writing a script to fit the images.
- Editing once for every platform. A 16:9 frame hastily cropped for TikTok chops off faces. Take the time to check the vertical framing.
- Neglecting the sound. A mediocre image with clean audio passes. A beautiful image with dirty audio doesn't. It's the most consistent rule in video.
What to take away
AI doesn't edit your video for you: it removes the mechanical tasks so you can spend your time on the decisions that matter.
Start with the simplest thing: test your phone's automatic editor on a video you already have, to identify what's missing. If what's missing is raw material (shots, a voice, music), move to an environment that brings those tools together with credits included and a method to go with them. If what's missing is just assembly speed, a consumer AI editor will do. In all three cases, publish your first video before hunting for the perfect tool: publishing is what teaches you, not comparing subscriptions.
