AI in Video Production: Applications and Benefits

Contents

I. AI in video production: top 10 use cases
   1. How AI is used in video production: assessing the impact across project stages
II. Best AI tools for video production: from generation to editing and quality control
III. What are the benefits of using AI in video production?
   1. What are the ethical considerations of using AI in video production?
      a. Real-world examples of AI in video production
IV. Conclusion

Artificial intelligence is redefining our decades-old methods for creating commercials, music videos, and corporate films. From concept ideation to scriptwriting, actual filming, and video editing, AI expedites processes, enhances video quality, and reduces production costs. YOPRST, a Warsaw-based company providing expert AI video production services, has written a comprehensive guide on the use of AI in video production, complete with real-world applications, examples, and overviews of the most powerful AI video tools. Discover how you can use AI for video production and what results to expect.

AI in video production: top 10 use cases

Today, advanced AI tools for video editing and production empower both video production companies and amateur content creators to generate high-quality videos with far less time, effort, and expense than traditional methods require. As the technology evolves, it is also making video production more accessible, allowing users to experiment with new content formats and artistic styles without mastering complex video creation tools or learning to code. In the following section, we’ll explore the top 10 applications that showcase how AI is used in video production:

• Concept development and scriptwriting. Generative AI (i.e., tools like ChatGPT, Perplexity AI, and DeepSeek) can help draft a compelling script for your video or suggest creative ideas. By analyzing large datasets of scripts and viewer preferences, AI can come up with plot points or dialogue that resonate with your target audience. While using AI in video production can’t compare to professional scriptwriting services, the technology can act as your “brainstorming partner,” offering data-driven suggestions and improvements.
• Storyboarding and planning. AI tools for video production can scan your script to recommend relevant stock footage, imagery, or music that matches the story’s tone and pacing. This feature gives directors and producers a visual and auditory starting point, allowing them to quickly conceptualize scenes without manually searching for assets. By automating these tasks, AI speeds up preproduction workflows. Furthermore, AI script breakdown tools can classify scenes, characters, props, and locations, producing detailed reports that improve planning efficiency.
• Filming and on-set assistance. By using advanced AI in video production, you can get real-time, actionable feedback during traditional video shoots and timely resolve issues. Computer vision algorithms can monitor live footage to detect problems, such as out-of-focus scenes, incorrect lighting, or actor performances that deviate from the script. This precise, immediate analysis enables crews to make on-the-spot adjustments (e.g., repositioning a camera or requesting another take) to ensure that each shot meets the required criteria.
• Video editing and scene assembly. While AI tools for video production do not yet replace video editing services, they do speed up the process by automatically detecting scene changes, tagging the best takes, and removing silences or bad footage to create rough cuts with simple transitions. Platforms like Adobe Sensei in Premiere Pro offer features such as Scene Edit Detection and Auto Reframe to resize content for multiple aspect ratios, helping create videos for social media. Beyond rough cuts, AI handles repetitive tasks like color correction, cropping, and basic visual effects.

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• Color grading, visual effects (VFX), and animations. AI in video production accelerates complex post-production tasks like color grading, visual effects, and animation. Colourlab AI and similar tools can match the look of one shot to another or apply a consistent visual style across an entire project, cutting grading time by up to 80%. In visual effects, AI applications in video production include removing unwanted objects, generating realistic simulations (like rain or fire), and animating CGI characters up to 90% faster with tools like Wonder Dynamics.
• Audio editing and voiceovers. One of the most promising AI applications in video production is generating remarkably realistic voiceovers from text. Text-to-speech voice synthesis can create narration or character dialogue without voice actors. Advanced platforms like ElevenLabs mimic a person’s voice so well that it can be hard to tell it’s AI. The feature is useful for quick voiceover revisions or creating voice tracks in multiple languages. In high-end film production, AI voice cloning has even been used to recreate iconic voices, such as Darth Vader’s in the Obi-Wan Kenobi series.
• Transcription and subtitling. Using AI for video production greatly simplifies transcription and subtitle creation. Speech-to-text AI services can accurately transcribe video audio, saving editors hours of manual work. This not only speeds up post-production but also makes content more accessible to a wider range of viewers, including individuals with hearing impairments or those who watch without sound. Tools like Subly and built-in captioning features on platforms like YouTube quickly generate timed subtitles using AI.
• Localization. AI can accurately translate a video’s dialogue and even do dubbing with synthetic voices. With these advanced capabilities, a corporate video or educational content can be easily adapted for different languages and regions without expensive reshoots. AI dubbing tools for video production can match timing and intonation, ensuring that the new language voiceover fits seamlessly. This capability helps videos reach a global audience with minimal extra cost. In some tools, voice styles and emotional tones can also be customized.
• Content personalization. When talking about AI in video production, it’s essential not to overlook marketing. Analytics tools powered by artificial intelligence can analyze viewer data to inform video content decisions. By understanding what scenes or messages resonate with certain demographics, AI can help creators tailor videos to maximize engagement. For instance, an AI might suggest different editing styles or highlight reels for a younger social media audience versus a corporate executive audience, all based on learned preferences.
• Quality control and reviews. AI solutions for video production significantly enhance quality control by automatically scanning finished videos for technical or content issues. Machine learning systems can detect visual glitches (blurry or frozen frames, wrong colors), audio problems (out-of-sync audio, volume spikes), or even content compliance issues (like spotting logos, sensitive imagery, or profanity) much faster than a human reviewer. This is especially useful if you’re creating videos for a highly regulated industry like healthcare.

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How AI is used in video production: assessing the impact across project stages

AI in video production helps at every stage of the workflow, from planning to editing, by automating tedious tasks, reducing errors, and accelerating turnaround times. It acts as a trustworthy assistant, allowing human creators to concentrate on storytelling and creative decisions. Understanding how AI is used in video production enables teams to plan smarter, shoot more efficiently, and finish faster while maintaining consistent quality across formats. In the previous section, we covered some of the most common AI applications in video production. Let’s look at the business benefits they bring:

• Preproduction. Using AI for video production in the planning stage improves speed and clarity. AI tools can draft scripts, generate shot lists, optimize shooting schedules, and create visual references like concept art, moodboards, or storyboards. Some platforms even assist with early casting or location suggestions by analyzing scripts. For teams wondering how to use AI for video production prep, these tools reduce guesswork and make creative planning more data-informed, which is a game-changer for both big-budget and indie projects.
• Production. Aside from actual video content generation, AI tools for video production are widely used on set, providing real-time analysis and technical support. Artificial intelligence-powered cameras can automatically track objects, adjust focus or exposure, and provide instant feedback on framing or lighting issues. This minimizes continuity errors and reduces reshoot risks. AI in video production also supports live events by automating camera switching or highlighting key moments – boosting production quality while keeping crews lean.
• Postproduction. Postproduction is where AI tools shine the most. From auto-assembling rough cuts and editing by text (as in Descript) to upscaling footage and precisely matching color across scenes, AI saves hours of manual work. Audio cleanup, VFX tasks like rotoscoping, and automatic resizing for multiple formats are handled with ease. When considering how to use AI for video production delivery, this stage provides the greatest time and cost savings, enabling production teams to complete projects faster and to specification.

Best AI tools for video production: from generation to editing and quality control

When it comes to using AI in video production, there are numerous powerful, commercially available tools that do not require coding or advanced technical skills. This section focuses on licensed platforms, SaaS products, and plug-and-play applications that are commonly used by production companies, marketing teams, and content creators. We’ll deliberately leave out cloud services like Azure Video Indexer, AWS Recognition, and Google Cloud Video Intelligence, which, while offering AI-powered facial recognition, metadata tagging, and content moderation, require developer integration or engineering support.

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• Video editing and production suites. Adobe Premiere Pro, DaVinci Resolve, and Final Cut Pro now come with built-in AI features that streamline common editing tasks. Adobe Sensei powers Auto Reframe, Scene Edit Detection, and Content-Aware Fill – helping editors adapt footage to different platforms and remove unwanted objects in seconds. DaVinci’s Neural Engine enables smart reframing and face detection, while Final Cut Pro offers Voice Isolation and Smart Conform for vertical video. For quicker, social-friendly edits, you can also use tools like Magisto, InVideo, and quso.ai.
• AI video generators. Platforms like Synthesia and Hour One allow users to generate full videos from a script using virtual presenters. These tools are ideal for creating training modules, product explainers, or internal communications – especially when speed and scalability matter. Users simply type in a script, choose an avatar, and the platform produces a “talking head” video in the desired language. Some AI tools for video production, such as Pictory and Lumen5, help transform blog posts or long-form text into short, visually engaging videos.
• Voice synthesis and audio tools. AI voice tools such as ElevenLabs, Murf, and WellSaid Labs offer realistic voiceovers based on text input with adjustable tone, pitch, and pacing. These platforms are widely used in commercial voiceover work for social videos, tutorials, and product explainers. Respeecher provides advanced voice cloning capabilities for projects requiring precise voice replication. For audio enhancement, Adobe Podcast (Enhance) and iZotope RX remove background noise, clean dialogue, and restore poor recordings.
• Transcription, subtitles, and translation. Tools like Otter.ai, Subly, Rev, and YouTube’s auto-captioning make it easier to generate subtitles and captions with speech-to-text AI. These AI solutions for video production enable creators to instantly generate timed captions and edit them on the platform. Papercup and HeyGen provide AI-powered dubbing for multilingual needs, which involves translating and voicing video content in multiple languages with synchronized timing and natural intonation. These solutions are especially useful for educational or corporate content.
• Quality control and compliance. Our list of the best tools for video production includes Dalet Media Cortex and Interra Systems’ BATON. These solutions use AI to automate quality control processes, scanning video content for visual glitches, loudness issues, sync problems, and even brand compliance violations (e.g., unauthorized logos). They’re commonly used by broadcasters and OTT platforms to validate large volumes of content before release. By using AI for video production quality checks, teams can ensure consistency, reduce human error, and speed up delivery.
• Specialty creative tools. In this section, we’d like to highlight several AI tools used in video production. Runway ML is the go-to solution for background removal, style transfer, and text-to-video generation. D-ID allows you to create photorealistic talking avatars from static images, which is essential for spokesperson videos. While Jasper.ai is best known for copywriting, it also offers scriptwriting modules specifically designed for video marketers. Adobe Character Animator and Stable Diffusion-based tools are excellent for explainer videos and stylized social content.

Many AI tools for video production are available via subscription or free tiers. For creators interested in using AI for video production, these solutions provide a practical, creative, and scalable entry point into the world of intelligent video workflows. Still, we recommend that you consult with an experienced production team before deciding on AI tools for video production – or delegate the entire project to such experts. Despite having a low learning curve and offering affordable pricing models, AI solutions for video production may still require initial training and be costly to purchase for a one-time project.

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What are the benefits of using AI in video production?

AI is redefining what’s possible in video production by boosting efficiency, cutting costs, and raising quality. By automating repetitive tasks and accelerating post-production workflows, AI enables creators to deliver high-quality content faster and at scale. It supports smaller teams, reduces the need for specialized labor in basic tasks, and helps meet the high-volume demands of today’s content landscape. Whether you’re producing a corporate film, social ad, or educational video, using AI in video production offers multiple benefits – from streamlined delivery to new creative possibilities.

• Faster turnaround. Using AI for video production allows teams to compress timelines without sacrificing quality. Tools like Adobe Auto Reframe and Vidyo.ai automatically reformat footage for platforms like YouTube, Instagram, and TikTok, saving hours of manual work. In live scenarios, AI-powered systems can generate real-time highlights and assemble rough cuts within minutes – something that would traditionally take hours. This faster cycle gives creators the agility to publish timely, trend-driven content and stay competitive in fast-moving digital landscapes.
• Cost efficiency. One of the most immediate benefits of AI in video production is the ability to do more with less. AI tools reduce reliance on large filming and editing crews by automating tasks like actual shooting, transcription, voiceovers, and color grading. For instance, a simple music video costs anything between $1,200 and $6,000. By using AI in video production, you could reduce the associated costs by up to 50%. Even though AI cannot completely replace videographers and editors at this time, it can be a game changer for small businesses and independent artists.
• High-volume content creation. AI applications in video production help content teams maintain a high publishing cadence without compromising quality. By handling repetitive tasks such as subtitling, silence removal, or cutting long-form content into short-form clips, AI allows editors to create multiple videos per day, which is ideal for marketers, educators, and influencers with content-heavy schedules. For businesses managing multiple campaigns or social channels, AI ensures that video output scales with audience demand.

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• Improved quality and consistency. AI ensures a consistent visual and auditory standard across every piece of content. Tools like Topaz Labs Video AI enhance resolution and frame quality, while automated color grading and audio leveling eliminate technical mismatches between shots. Whether a video is filmed in varying lighting conditions or edited by different team members, AI helps enforce brand style guides and quality benchmarks. These improvements in how AI is used in video production lead to more professional, polished outputs.
• Personalization and localization. AI enables content customization at a scale previously unimaginable. Producers can quickly generate video variants with tailored voiceovers, subtitles, or on-screen text for different regions, languages, or target demographics. Such capabilities make global campaigns more affordable and effective, as videos can resonate locally while maintaining a consistent brand message. AI in video production empowers marketers to connect with diverse audiences without the need for entirely separate production efforts.
• 24/7 productivity. Unlike human teams, AI tools work around the clock – processing, rendering, and enhancing content even while the crew is offline. For instance, AI upscaling or translation can run overnight on a batch of videos, freeing up time for review and creative work during the day. This is particularly relevant for agencies that are juggling multiple clients or facing tight deadlines. Embracing AI applications in video production means unlocking a non-stop workflow that keeps projects moving forward at all hours.
• Real-time enhancements. AI provides live streaming and event coverage enhancements on the fly. Automatic captions, smart camera switching, and real-time video cleanup eliminate the need for post-event editing and make it easier to publish polished content immediately after recording, which is useful for webinars, live product launches, and educational broadcasts that must be shared right away. Understanding how to use AI for video production in real-time scenarios allows for more dynamic, responsive, and efficient productions.

What are the ethical considerations of using AI in video production?

As the use of AI tools in video production becomes more common, important ethical questions for creators and clients arise. These include the need to obtain permissions, be transparent about AI’s use when appropriate, avoid bias, and maintain the integrity of creative work. Many industry groups are currently developing ethical guidelines for AI in media, which will be critical to realizing AI’s benefits while maintaining trust and creativity. Here are the ethical considerations you should address when considering using artificial intelligence for video production:

• Authenticity and trust. AI-generated content can blur the line between real and artificial. For example, “deepfake” technology can swap faces or generate hyper-realistic digital avatars of people. While such AI applications in video production can be innovative (e.g., de-aging an actor for a film), there are risks to consider. Viewers may struggle to trust what they see on screen if AI manipulation is not disclosed. The use of deepfakes to create false speeches or malicious hoaxes is a well-documented problem. To ensure authenticity, producers must be transparent when using AI.

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• Consent and privacy. Using someone’s likeness or voice via AI (as in deepfakes or voice cloning) requires careful consent, especially if AI will alter or recreate it. There have been instances of actors’ voices being cloned (with permission) to recreate dialogue – as with James Earl Jones allowing AI to take over Darth Vader’s voice role. However, doing so without consent would be a serious violation of rights. Likewise, using AI in video production to generate a person’s image (e.g., making a historical figure appear in a new video) can raise questions of dignity and respect.
• Intellectual property (IP). AI can create content derived from existing media, which muddies the waters of copyright. If an AI is trained on thousands of images or clips, who owns the output it generates? For instance, if an AI editing tool learns a particular director’s style and imitates it in your video, is that a creative infringement or just a tool output? There’s also the issue of using copyrighted material in training data without permission. These are evolving legal areas. Ethically, content creators should be cautious about the source of AI tools and ensure they’re using them in ways that don’t knowingly violate IP rights.
• Bias. Even the best AI systems for video production carry the risk of reflecting biases present in their training data. In a video context, this might mean an AI editing tool could inadvertently favor certain types of content or compositions based on its learned data. There’s also a concern that AI-generated characters or voices might default to certain genders or accents (often Western, male voices). When using AI to generate crowd footage or background characters, care should be taken to ensure that it reflects the real world’s diversity without artificially introducing inclusivity or diversity where it doesn’t belong.
• Accountability. When AI makes creative decisions in video production (like an edit or an effect), who is accountable for the result? If an AI-generated edit has a mistake or causes offense, the producer can’t simply blame “the machine”. Ethically, humans must take responsibility for AI’s role in their project, providing oversight. In critical applications like news or documentary films, relying heavily on AI without human fact-checking could spread misinformation. A responsible workflow keeps humans “in the loop” to verify and approve what the AI produces.
• Creative value. There’s the concept of authentic human creativity that hinders AI adoption in video production. AI tools might churn out a hundred social videos a day, but do such videos have the emotional and storytelling depth that human-crafted content would? Creators are increasingly focusing on how to blend AI efficiency with human creativity so that the end product benefits from both. Ensuring that AI does not devalue or erase human creators is an ethical stance taken by many in the industry, often expressed as “AI as a creative catalyst, not a replacement”.

Real-world examples of AI in video production

Looking beyond theory, companies and content creators interested in how AI is used in video production search the internet for real-world examples. Below, you’ll find detailed descriptions of video production projects that use artificial intelligence, ranging from large-scale initiatives by major film studios to smaller projects by medium-sized businesses and independent creators. In each of these examples, creative teams were able to achieve their objectives by finding an innovative, responsible way to use AI tools in video editing and production. Here are a few projects to inspire you:

• Lucasfilm/Disney. As we’ve previously mentioned, Disney’s Lucasfilm used AI voice cloning in The Mandalorian and Obi-Wan Kenobi to recreate the voices of young Luke Skywalker and Darth Vader. In these cases, using AI in video production enabled the continuation of iconic characters without recasting actors – preserving authenticity while respecting the original performers. Additionally, Lucasfilm has experimented with AI-driven de-aging for video, hiring a deepfake artist to help enhance visual effects using artificial intelligence.
• Hour One and CoreLogic. CoreLogic, a global property data company, needed to create frequent informational videos. By using Hour One’s AI video platform (which generates videos with virtual presenters from text scripts), they reportedly cut production time by 90% while also reducing the associated costs. What used to require a film crew and weeks of work (filming an employee or hiring talent for each video) turned into a quick process of typing a script and choosing an AI avatar. This demonstrates AI’s practicality for corporate content.
• FOX and Media Companies. FOX Corporation leveraged AI tools for video production, including Amazon Web Services AI, to analyze audience data and content performance. By feeding viewership data into AI, FOX could align their content and marketing needs – for instance, by determining which scenes or thumbnails made viewers more likely to click play. In a similar vein, streaming services such as Netflix use AI algorithms to A/B test different edits or trailers of their content to determine which ones resonate most with their target audience.
• Coca-Cola. AI is frequently used in advertising video production, helping creators generate images, compile videos, and test content performance. Coca-Cola, for example, launched an AI-driven ad campaign where generative AI was used to create hundreds of unique visuals for their 2024 commercial, which paid homage to the iconic Holidays Are Coming video. While the final edit had human oversight, much of the creative content was AI-assisted, showing how even at the highest level of advertising, AI is a creative collaborator.
• Corridor Digital. Corridor Digital, a small creative studio popular on YouTube, produced an AI-generated anime short film in 2023 titled “Anime Rock, Paper, Scissors.” They filmed live actors and then used AI (Stable Diffusion-based) to transform the footage into stylized “anime” frames, aiming to mimic the look of hand-drawn animation. While this project raised questions over art and AI, the experiment showed how a small team could use AI for video production to attempt something that normally requires a whole animation studio.

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