The Top 10 Free AI-Powered Video Editing Tools to Try in 2026

Artificial intelligence is revolutionizing the world of video editing, making once tedious and time-consuming tasks as simple as clicking a button. What used to require hours of painstaking work by skilled editors can now be accomplished in seconds with the help of machine learning algorithms.

According to a recent survey by Adobe, 68% of professional video editors say AI tools have made their job easier, while 73% believe AI will have an overall positive impact on the field (source). As these AI-powered solutions become more widely available and affordable, even amateur creators and small businesses can harness their power to produce studio-quality content at scale.

So what exactly can AI do for your videos? Let‘s take a look under the hood at some of the key capabilities of today‘s AI-enhanced editing software:

Intelligent cropping and reframing

One of the most tedious parts of editing is making sure your footage fits properly into different aspect ratios for various social media platforms and screen sizes. Manually cropping and resizing clips for square, vertical, and widescreen formats can eat up precious hours.

That‘s where AI-assisted reframing comes in. Using a technique called seam carving, machine learning models can intelligently identify the most important parts of the frame and automatically crop around them to fit any aspect ratio.

Seam carving in action. Source: Wikipedia

More advanced AI reframers can even track specific objects or people as they move around the frame, ensuring they always stay perfectly centered no matter how the camera shifts. This technology builds on the same object detection systems used in self-driving cars and facial recognition.

Automatic tagging and searches

Another major time saver offered by AI is the ability to automatically tag and categorize your footage based on the objects, people, settings, and actions it contains. Using computer vision algorithms trained on massive datasets of labeled images and videos, these tools can quickly scan through hours of raw footage and identify relevant clips based on your search criteria.

For example, let‘s say you‘re making a video about your company‘s fun workplace culture and you need shots of people laughing and high-fiving in the office. Rather than scrubbing through a 2-hour long team event video to find those few seconds, you can simply type "laughing" and "high five" into the search bar and immediately see every frame across all your footage that matches those tags.

According to a report by IDC, organizations lose up to $3.5 million per year searching for and not finding video assets (source). AI tagging can help recover those wasted hours while surfacing valuable clips you may have otherwise missed.

One-click style transfer

Want to give your video the high-contrast, moody look of a Hollywood blockbuster or a dreamy Wes Anderson-inspired color palette? With AI style transfer, you can apply the visual style of any reference image to your footage with just a few clicks.

Using a type of machine learning model called a generative adversarial network (GAN), style transfer tools learn the underlying visual patterns that define a particular aesthetic and then redraw your footage in that same style. The results can be stunningly realistic and would normally take hours of skilled color grading and effects work to achieve manually.

An example of neural style transfer. Source: Medium

However, it‘s important to note that style transfer neural networks require a large amount of training data in a specific aesthetic to produce good results. Pre-trained models exist for common styles like Impressionist paintings or black and white film noir, but achieving a particular custom look may still need some manual tweaking.

Intelligent audio clean-up

Bad audio can ruin even the most visually stunning video. Removing unwanted background noise, balancing volume levels, and isolating voices from other sounds are essential parts of the editing process but can be difficult to do well without pricey plugins and a trained ear.

AI-powered audio clean-up tools aim to automate much of this work by learning what "good" audio should sound like from thousands of professionally recorded samples. They can then identify and suppress frequencies associated with common problems like wind noise, hum, and hiss while preserving the frequencies of the desired voices or instruments.

Some cutting-edge AI audio tools can even change the emotional tone and inflection of voices to match a desired mood, or generate realistic foley sound effects based on the content of the video. Adobe‘s Project Shasta and iZotope‘s RX 10 are two examples of AI-enhanced audio repair software making waves in the industry.

Deepfakes and face swapping

Perhaps the most controversial application of AI in video editing is the rise of so-called "deepfakes" – hyper-realistic face swaps that superimpose one person‘s likeness onto another‘s body and voice. While this technology has many legitimate use cases in entertainment and education, such as virtually resurrecting deceased actors or creating multilingual versions of videos without needing voice actors, it also raises serious ethical concerns around consent, deception, and misuse.

The core technology behind deepfakes is a type of AI model called a variational autoencoder (VAE) that learns to reconstruct faces from a large dataset of headshots. By training separate encoder/decoder pairs on two individuals‘ faces, the model can then swap certain facial features between them while preserving the underlying structure and expressions.

Deepfake detectors that use AI to spot telltale signs of manipulation are an active area of research to combat malicious uses of the technology. However, no surefire defense exists and the realism of deepfakes continues to improve rapidly. As with any powerful tool, responsibility ultimately lies with human creators to use it ethically and transparently.

Free AI video editing tools to try

Now that we‘ve explored some of the underlying capabilities of AI-enhanced video, let‘s take a look at 10 of the best free tools you can try today to experience the magic for yourself. Please note that while the core features are free, some may offer additional benefits or storage for a fee.

1. Adobe Sensei

Adobe‘s powerful AI engine Sensei is baked into many of its Creative Cloud apps, including the video editing suite. Useful free features include auto reframe, auto tone matching, and AI-powered scene detection for faster editing.

2. Runway

This AI-centric creative suite offers an impressive array of machine learning tools for video, including background removal, object masking, motion tracking, and style transfer. Perfect for experimental creators looking to push boundaries.

3. Peech

Peech uses AI to generate photorealistic talking avatars from a single image that can speak any text you provide in a variety of languages and styles. Great for creating professional spokesperson videos without the need for human actors.

4. Descript

Descript‘s innovative transcript-based editing workflow uses AI speech recognition to convert your video to text, which you can then edit like a document. It even lets you copy/paste words from one speaker to another and maintain a natural cadence.

5. Magisto

Aimed at businesses and marketers, Magisto uses AI to partially automate video creation by intelligently assembling your clips and applying style templates aligned to your video goals. Especially handy for cranking out social media content at scale.

6. Flixier

This browser-based AI video editor emphasizes collaboration, letting teams work together on the same project in real-time with version control and commenting. Machine learning powers its search, tagging, and automation features to speed up workflows.

7. InVideo

With thousands of templates and a dead simple interface, InVideo is ideal for beginners who want to create professional-looking videos without being overwhelmed by options. Its AI can automatically resize your video for different platforms and convert text to speech in a variety of languages.

8. Flair

Flair‘s claim to fame is its AI-powered filters and effects that can be applied selectively to people or objects within a video. For example, you could make everything black and white except for a single product or swap someone‘s hoodie for a suit automatically.

9. Kamua

This AI-native video editor boasts a number of unique features like the ability to change the footage of a "talking head" video to match a different script, extract specific moments into separate clips based on keywords, and touch up blemishes or backgrounds.

10. Lumen5

Lumen5 turns blog posts and articles into engaging social videos complete with captions, images, and music. By analyzing the text, its AI can identify key points, match them to relevant licensed footage, and pace the edit to a compelling narrative arc.

AI video trends to watch

As the field of AI continues to advance at a breakneck pace, expect to see even more mind-blowing tools emerge that push the boundaries of what‘s possible with machine-assisted video manipulation. Some exciting areas to keep an eye on:

• Collaborative filtering: What if your video editing software could study your past creative decisions and recommend cuts, transitions, or effects based on your unique style? Startups like Reduct are exploring how taste-based algorithms can power smarter editing suggestions.

• Intuitive editing UX: The next frontier in AI video editing is tools that can dynamically adapt their interfaces and workflows to your specific project needs and skill level. Imagine an editor that only surfaces the relevant features for your current task and provides interactive tutorials on demand.

• Controllable generation: As AI systems become better at generating photorealistic videos from scratch based on text or image prompts, the ability to fine-tune the results with intuitive controls will be key. Meta‘s Make-A-Video, announced in 2022, is an early example of this paradigm.

• Editing by thought: On the distant horizon, you can imagine a world where AI has become so attuned to our creative intent that we can edit videos simply by thinking or speaking what we want. Neurolink-style brain computer interfaces could one day make this science fiction a reality.

Of course, as AI grows more capable of creating and manipulating media, it will be crucial to develop better methods for AI content attribution and verification. Researchers are exploring techniques like radiofrequency watermarking or algorithmically generated labels to tag AI-generated or modified content in a standardized way.

AI video tips and best practices

If you‘re ready to start incorporating AI into your own video projects, here are a few tips to keep in mind:

1. Experiment fearlessly. The only way to get a feel for what these tools can do is to dive in and start playing around. Most have extensive free trials, tutorials, and community forums where you can get inspired and troubleshoot issues.

2. Use AI to augment, not replace, your vision. At the end of the day, storytelling is a fundamentally human art. While AI can be an incredible time saver and creative partner, it should serve your unique goals and perspective, not dictate them.

3. Gauge your audience‘s AI comfort level. Depending on your target viewers, AI effects that look amazing to you might come off as "uncanny" or manipulated to them. Think carefully about your use case and how much you want the AI to show through versus blend into the background.

4. Advocate for responsible AI. As a creator, you have a voice in shaping how these powerful tools are designed and deployed. Support companies and causes aligned with the ethical development of AI, and speak out when you see the tech being used harmfully or deceptively. Together, we can steer AI video innovation in a positive direction.

5. Keep learning. The world of AI moves incredibly fast, and video editing is no exception. Set up Google alerts for new AI video tech, attend webinars and conferences (even virtually), and swap notes with other creators to stay on the cutting edge. The future of video is being shaped every day.