AI Video Editing: Tools + Tips for 2024

Video editing is full of detailed and time consuming tasks. They’re often repetitive and take up time that video editors could better spend applying their expertise to strategic decisions and idea generation. 

That’s where AI video editing tools come into play, and there are more available now than ever to help speed up and streamline the editing process.

From cleaning up audio to automated voiceover tools, there’s a whole world of possibilities out there to save hours of video editing time.

The Role of AI in Video Editing

The role of AI in video editing is rapidly expanding, revolutionising how videos are produced. Like most AI tools, the true benefit of this tech is how it enhances efficiency and helps editing teams to innovate on their processes for better output at a faster pace. Here’s how AI is changing the video editing landscape:

1. Automation of Routine Tasks

AI excels at automating repetitive tasks that typically consume much of a video editor's time. This includes syncing audio to video, colour correction, and even selecting the best clips based on quality and relevance. By handling these foundational elements, AI frees up creators to focus more on the creative and narrative aspects of video production.

2. Enhanced Content Quality

Through advanced algorithms, AI can analyse footage for colour balance, stabilisation, and even frame composition, adjusting these elements to achieve a consistent look with minimal human intervention. AI's capability to enhance video quality ensures a polished final product that might otherwise require extensive manual effort.

3. Intelligent Editing Decisions

Some AI video editing tools can make editorial decisions based on the content's pacing, emotional tone, and visual continuity. These systems can suggest or automatically implement cuts, transitions, and effects that align with the story's rhythm, enhancing viewer engagement without constant editor oversight.

4. Scalability and Efficiency

AI tools are designed to handle large volumes of content quickly, which is particularly beneficial for industries like news and sports broadcasting. These tools can rapidly parse through hours of footage to highlight key moments, significantly speeding up the production timeline.

5. Creative Insights and Suggestions

Beyond just handling mundane tasks, AI can provide creative insights based on data from past video performances. This might include suggesting changes to lighting and framing or even recommending content adjustments to better align with audience preferences.

Can ChatGPT edit videos?

As of writing, ChatGPT does not have the capability to produce or edit video content. That being said, it might be useful for gathering some quick tips or instructions on the video editing process for less seasoned professionals.

Will video editing roles be replaced by AI?

AI is becoming increasingly capable in creative fields, including video editing. But it's unlikely to replace human video editors. AI can automate routine tasks and enhance efficiency, but the creative and subjective aspects of video editing—like interpreting emotion, understanding nuanced storytelling, and making artistic choices—still require human insight and expertise. Instead, video editors' roles are evolving to incorporate AI tools as highly efficient assistants. AI tools streamline certain processes, allowing human editors to focus more on creative input and decision-making.

Best AI Video Editing Tools to Try in 2024

AI video editing tools have diversified to cater to various aspects of video production. Here’s a breakdown of these tools by category, each equipped with specific features designed to streamline the editing process:

Automated Editing Tools

These tools automatically cut and assemble video clips based on predefined rules or machine learning models that analyse footage for quality, relevance, and continuity.

Examples:

• Magisto: Creates polished videos with minimal user input, using emotion-sensing technology to edit clips that match the mood of the soundtrack.
• Wondershare Filmora: Offers automatic scene detection and other smart editing features to simplify the editing process.

AI-Assisted Post-Production

With these tools, the focus is on enhancing video quality post-production, such as upscaling resolution, colour correction, and audio enhancement.

Examples:

• Adobe Premiere Pro: Integrated with Adobe Sensei, it uses AI to automate tasks like scene reformatting and audio balancing.
• Final Cut Pro: Features AI-driven options for colour balancing and object tracking within clips.

Content Analysis Tools

Analyse video content to tag and categorise footage based on the content, which can help in managing large libraries of video.

Examples:

• Axle ai: Provides search capabilities and management for video content, leveraging AI to auto-tag and categorise videos.
• IBM Watson Media: Analyses and provides insights into video content, enhancing discoverability and accessibility.

AI Tools for Special Effects and Enhancement

These tools use AI to apply complex video effects that would typically require an expert’s input, such as creating deepfake videos or converting standard video into 3D.

Examples:

• RunwayML: Offers capabilities to add and manipulate effects in videos with simple tools that leverage deep learning models.
• DeepArt: Transforms video scenes into works of art using styles of famous painters through deep learning technology.

Voice and Audio Optimisation Tools

These tools automatically adjust audio levels, remove background noise, and optimise speech clarity using AI algorithms.

Examples:

• Descript: Offers advanced audio cleaning features and auto-levelling to enhance voice tracks.
• Adobe Audition: Features AI-driven audio enhancement tools that refine dialogue and overall sound quality.

AI-Driven Storytelling Tools:

These tools analyse video and audio content to help construct narratives or generate content suggestions, aiming to improve storytelling aspects.

Examples:

• Lumen5: Uses AI to assist users in transforming scripts or text content into engaging video stories by suggesting visuals and layouts.
• Pictory: Automates the creation of video content from scripts using AI, selecting relevant visuals and arranging content effectively.

Video Content Accessibility Tools

With these tools, you can use AI to generate subtitles automatically, translate spoken content, and provide audio descriptions, making videos more accessible to a broader audience.

Examples:

• Kapwing: Automatically generates subtitles for videos which can be edited for accuracy, helping to improve accessibility.
• Amara: Provides a platform for captioning and translating video content, supported by AI for efficiency and accuracy.

Predictive Analytics and Engagement Tools

These tools analyse viewer behaviour and engagement metrics to predict content performance and suggest edits or content tweaks to enhance viewer retention and interaction.

Examples:

• VidIQ: Uses AI to provide insights on the best times to post, potential viewer engagement, and content optimization strategies.
• TubeBuddy: Offers video analytics and performance forecasting to help creators optimise their content for better engagement based on AI-driven data analysis.

Let Our AI-Powered Team Take Your Content to the Next Level

At Little Dot Studios, innovation sits at the heart of our approach, from our creative ideas to our embrace of AI in our video editing processes. We're leveraging the latest AI tools to streamline tedious tasks and enhance the creative decision-making process. So our producers, editors and channel experts can spend more time creating and amplifying content for some of the world’s most recognisable brands.

Whether you’re a digital rights holder looking to repurpose content for social channels or a big brand in need of an original series to engage your audiences, we’re here to help. Reach out today to learn more about our work!