Use AI to edit video like a professional editor, skipping the entire post-production process for short-form content.
Transform raw footage into shareable, fully-edited videos with one click using pre-set styles or simple text prompts.
Top AI for Video Editing & Production picks
See all 99 AI for Video Editing & Production tools →For video editing and production professionals, Captions.ai is one of the best AI tools for rapidly creating short-form social media content. Its AI automatically handles cuts, B-roll, captions, and audio cleanup, transforming raw footage into a finished video in minutes. This allows editors to skip tedious post-production steps and scale content creation for platforms like TikTok and Instagram.
Your workflow, automated
Before & After
Manually cutting, captioning, and stylizing dozens of short-form videos.
Hours per video batchGenerating fully edited, shareable videos with captions in minutes.
Minutes per video batchTry it with these prompts
Copy any prompt and paste it directly into the tool.
Create a fully-produced video using AI. Specify the desired editing style and any specific elements you want included, such as B-roll or music. The AI will transform your footage into a shareable video.
Use the chat-based editor to make changes to your AI-edited video. Describe the modifications you need, such as adjusting specific scenes, adding text overlays, or changing the pace. The AI will implement your requests.
Generate AI avatars for your videos or create a digital twin. Use prompts to customize their outfits, backgrounds, or even insert product placements. This allows for fast iteration and consistent branding across multiple…
Trusted by 20M+
Works with your existing stack
How it compares
Captions.ai vs. Descript: Choose Captions.ai for its highly stylized, one-click 'AI Edit' feature and visual tools like eye contact correction, making it ideal for fast, visually-driven social media content. Opt for Descript when your workflow is primarily audio-focused and requires precise, text-based editing of longer-form content like podcasts or detailed tutorials. Descript excels at transcription accuracy and multitrack audio editing, whereas Captions.ai prioritizes automated visual transformation and speed.
Is it worth it?
Why Video Editing & Production choose this tool
Key Use Cases
Captions.ai excels at automating the tedious aspects of short-form video editing, delivering polished results in minutes. While it offers impressive speed and creative styles, professional editors may find the AI-led approach less granular than traditional NLEs for complex, narrative-driven projects.
Frequently asked questions
What is the best AI video editor for social media content?
Can Captions.ai edit my whole video for me?
Is there an AI tool that can fix eye contact in videos?
Is Captions.ai free to use?
What kind of videos can I edit with Captions.ai?
Which AI tool is best for turning talking head videos into engaging shorts?
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Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.
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Take it with you
- **Automate Your Edits**: Learn how to use AI Edit to apply dynamic styles instantly.
- **Perfect Your Takes**: Use AI Eye Contact correction to save footage.
- **Engage with Captions**: Automatically generate and customize animated captions.
- **Go Global**: Translate your video and voice into over 100 languages.
- **Create AI Actors**: Generate a digital twin to produce content without filming.
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About Captions.ai
Full Description
Captions.ai is an AI-powered video editor designed to automate post-production. It transforms raw footage into fully edited videos by handling scene cuts, B-roll overlays, captions, and audio cleanup automatically. Video editors can use it to rapidly produce social content, ads, and tutorials with minimal manual input.
Editorial Verdict
Captions.ai excels at automating the tedious aspects of short-form video editing, delivering polished results in minutes. While it offers impressive speed and creative styles, professional editors may find the AI-led approach less granular than traditional NLEs for complex, narrative-driven projects.
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