How to Make Videos with AI for Free: A Detailed Guide

Making videos with AI is the process of using artificial intelligence models to turn ideas, scripts or still images into finished videos without any manual filming or editing. You describe what you want in natural language or supply an input image, and the AI then handles generating the visuals, adding motion, layering in narration and stitching everything into a final product. This approach lets individuals, content creators and businesses cut production time dramatically. In this article, TOT walks through an easy seven-step workflow along with the most popular tool categories, and flags the copyright issues you need to avoid. Explore more technology and AI solutions at TOT.

What this article covers:

• What AI video generation is and how the technology works.
• A seven-step process for creating videos with AI, from defining your goal to publishing.
• A prompt formula for controlling the visuals and the motion.
• The top 10 AI video tools, with a quick comparison table.
• Key considerations around copyright, transparency and platform policies.

What is AI video generation?

AI video generation is the use of deep learning models to automatically produce animated visuals, motion, audio and effects from inputs such as text, images or sample videos. Instead of the traditional shoot-and-edit workflow, models trained on huge volumes of data predict each frame and connect them into seamless motion. At a high level, the pipeline runs in this sequence: prompt or input text → the AI analyzes the context → it generates the visuals and video → it creates narration and audio → it edits and assembles → finished video. As a result, a short description can become a video in just a few minutes.

AI now supports many different video formats, suited to each use case. The most common include product ads, company introduction videos, short-form social videos for TikTok or Reels, animated videos, virtual-presenter videos and explainer videos for lessons. Beyond creating new content, AI is also used to analyze existing footage and detect objects in video for moderation or automatic tagging. Depending on the tool, you can generate video from text, from a still image, or from a combination of both for better control over composition.

How to make an AI video in 7 simple steps

Making a video with AI can be broken down into seven clear steps: define your goal, write the script, write the prompt, choose a tool, generate the video, add audio, and finally edit and publish. This process works for beginners and professional marketing teams alike, and helps you control quality at every stage.

Step 1. Define the goal and topic of the video

Before creating a video with AI, you need to clearly define the goal and topic to guide the entire piece. A sales ad is completely different from a tutorial or an entertainment clip for social media, so locking in the objective from the start helps you pick the right tool, tone and format.

Elements to clarify at this stage:

• Your audience: their age, interests and the platforms they usually use.
• The goal: raising awareness, driving sales, teaching or entertaining.
• The publishing platform: TikTok, YouTube, Facebook or your website.
• The intended length appropriate for each platform.
• The call to action (CTA) you want viewers to take.

Step 2. Write the video script with AI

The script is the backbone of the video, and you can enlist AI assistants such as ChatGPT or Gemini to speed this stage up. AI helps brainstorm ideas, write an attention-grabbing opening (a hook), develop a detailed script and suggest a call to action for the end of the video.

To get a script that fits your needs, the prompt should carry enough information following this structure: role + goal + audience + topic + length + tone of voice + CTA. For example, rather than a vague request, you might describe that you need a scriptwriter to write a 30-second script introducing a scheduling app for busy people, in a friendly tone, ending with an invitation to download the app. The more context you provide, the more usable the script AI returns and the less editing it needs.

Step 3. Write the AI video prompt

The prompt determines much of the video’s quality, so describe it in detail rather than writing a single short sentence. An effective prompt formula has seven components: Subject + Action + Environment + Camera + Lighting + Style + Audio.

Google likewise recommends that users describe the camera angle, camera movement, visual style, lighting, characters, setting, action and even dialogue in detail for better control over the result when using the Veo model. A few examples show the level of detail you should aim for:

• Product video: a close-up of a perfume bottle set on a marble surface, the camera rotating slowly, soft studio lighting, a luxurious style, gentle background music.
• Cinematic video: a wide shot of a person walking on the beach at sunset, the camera panning from low to high, warm golden light, a cinematic style, the sound of ocean waves.
• TikTok video: a cup of coffee being poured from above in a vertical shot, fast motion, vivid colors, a dynamic style, upbeat music.

Compared with a bare-bones prompt, a detailed prompt helps the AI understand your intent clearly and reduces the number of times you have to regenerate the video.

Step 4. Choose an AI video tool

Your choice of tool should be based on the type of video you need to make, since each platform has its own strengths. AI video tools can be grouped into three main categories to make selection easier.

• Generative tools that create video from a prompt or image: Google Veo/Flow, Runway, Kling AI, Pika, Hailuo AI — well suited to creative and cinematic footage.
• Virtual-presenter (avatar) tools: HeyGen, Synthesia — well suited to training, presentation and sales videos.
• All-in-one editing tools: CapCut, VEED, InVideo — well suited to social and marketing videos thanks to their stock footage, captions and narration.

Beyond the type of video, weigh the budget, ease of use, ability to export in high resolution and the copyright policy of each tool before deciding. New users should start with a tool that offers a trial plan to get familiar before investing in a paid plan.

Step 5. Generate the video from a prompt or image

Once you have chosen a tool, the generation process usually follows similar steps. You enter a prompt or upload an input image, choose a model, set the aspect ratio and then hit Generate.

A typical workflow looks like this: upload an image or enter a prompt → choose a model → set the aspect ratio → hit Generate → review the result → regenerate if it falls short. With image-to-video tools, a sharp input image with good composition produces steadier motion. If the result isn’t quite right, adjust the prompt or change the parameters instead of regenerating many times with the same description — this saves both time and the tool’s credits.

Step 6. Add narration, captions and background music

Audio makes an AI video feel more professional and easier to follow. At this step, you can add AI-generated narration (an AI voice), and even clone a voice (voice cloning) to preserve a brand’s distinctive tone.

Beyond narration, add auto subtitles to improve accessibility for viewers who watch without sound, insert background music, and add sound effects that match the video’s pace. For virtual-presenter videos, lip-sync keeps the speech and mouth movements aligned. Be sure to choose music and audio that are properly licensed to avoid problems when publishing.

Step 7. Edit and publish the video

The final step is a full review and publishing the video in the format that fits the platform. Before exporting, check carefully to avoid the common flaws of AI-generated video, such as distorted visuals or audio that is out of sync.

Pre-publishing checklist:

• 9:16 for TikTok, Reels and Shorts; 16:9 for YouTube.
• Check that captions are spelled correctly and timed to match.
• Review AI visual glitches such as distorted hands, faces or text.
• Check the audio, and the volume of the narration and background music.
• Make sure there is a clear call to action.
• Export the video at 1080p or higher, depending on your use case.

Top 10 AI video tools available today

The market now offers many AI video tools, each aimed at a different set of needs — from cinematic footage and virtual-presenter videos to short-form social content. The table below summarizes their strengths and free-trial availability for easy comparison, and the sections that follow go into detail on each tool.

Google Veo / Flow

Google Veo is Google DeepMind’s video generation model, standing out for near-cinematic image quality and, in its newer version, the ability to generate synchronized audio. Flow is Google’s AI filmmaking tool built on Veo, letting you compose and link multiple consecutive scenes. The tool supports generating video from text and from images at high resolution, making it a fit for filmmakers and marketers who need polished footage. You can try it in a limited way through Google’s platforms, while the full version is part of the paid plan. Its current limitations are that each generation is still short and you may have to wait when demand is high.

Runway

Runway is a familiar platform among creatives, offering successive generations of models for creating and transforming video. Runway’s strength lies in its rich editing toolkit, which lets you control motion and transform the visual style. The tool supports text-to-video, image-to-video and even video-to-video, making it a fit for creators and post-production professionals. Runway grants an initial amount of free credits for a trial, and users upgrade to a paid plan to increase length and resolution. A common limitation is that results need the prompt to be fine-tuned several times before they match your intent.

Kling AI

Kling AI, developed by Kuaishou, is highly rated for its ability to simulate realistic motion and produce relatively long clips. The tool supports both text-to-video and image-to-video, making it a fit for users who want smooth animated scenes from a description or an existing image. Kling AI usually grants daily free credits, helping newcomers experiment before considering a paid plan to create more. One thing to note is that processing times and queues can stretch out at peak hours, so you’ll need patience when creating complex videos.

HeyGen

HeyGen is a platform dedicated to creating virtual-presenter videos that speak from a script, with multilingual support and a video translation feature. The tool is a fit for talking-head videos such as tutorials, product introductions and training, when a business wants a presenter without an actual shoot. You enter a script, choose an avatar and a voice, and the system builds the finished video. HeyGen offers a length-limited trial plan to try it out. Its limitation is that the tool is geared toward presentation videos, so it is less suited to cinematic footage or artistic content that demands creative freedom.

CapCut AI

CapCut is a video editor from the ByteDance group, integrating many AI features such as auto captions, text-to-speech narration and ready-made templates. The tool is especially strong for short social videos, making it a fit for TikTok creators and beginners. Most core features are provided free, letting you edit videos quickly on both phone and computer. Some premium effects and assets belong to the paid plan. CapCut suits high-volume short-form content production more than long, complex video projects.

VEED AI

VEED is an online video editor with many AI features such as auto captions, avatars and text-to-speech. The tool runs right in the browser, making it a fit for marketers and content teams who need to produce tutorials, ads or social content without installing software. VEED offers a free plan with a watermark for trials, and the paid plans expand length, resolution and the asset library. The free version’s limitation is capped length and export resolution, so professional users often need to upgrade.

Synthesia

Synthesia is a platform dedicated to creating virtual-presenter videos for business use, with a library of avatars and multilingual voices. You enter a text script, choose a presenter, and the system builds it into a finished video — a great fit for training and internal communications videos. It is a choice used by many training and HR departments to standardize content. Synthesia mainly provides a demo to try it out, while real use requires a paid plan. The tool isn’t aimed at free-form creative video but focuses on clear, professional presentation content.

InVideo AI

InVideo AI lets you create a complete video from just a prompt, with the system automatically assembling the script, sourcing footage from stock, adding voiceover and captions. The tool is a fit for anyone who needs to produce social, ad or news videos quickly and at scale. You describe the content, choose a style, and InVideo builds a draft to keep editing. The platform has a free plan with limited export length for trials. A limitation to note is that footage pulled from a shared stock library can overlap with other videos, so you need extra editing to give it a distinctive touch.

Pika

Pika is a tool for creating short videos from text or images, standing out for its creative transformation effects. The tool is a fit for creators who want to experiment with ideas and produce artistic clips, animation or unique content for social media. Pika grants trial credits so you can experience it before upgrading. Its strength is the ability to create effects quickly and intuitively, turning a still image into a lively clip. Its limitation is that each clip is still short, so the tool suits short segments more than long, seamless videos.

Hailuo AI

Hailuo AI is MiniMax’s video generation model, focused on realistic motion and close adherence to the prompt. The tool supports text-to-video and image-to-video, making it a fit for users who want to experiment with video generation without investing right away. Hailuo AI usually grants an initial amount of free credits, helping newcomers get familiar with the process of entering a prompt and generating scenes. Results are fairly stable with clear descriptions. Its main limitation comes from queues when user numbers surge, which makes generation times longer than usual.

Things to keep in mind when using AI-generated video

When using AI-generated video, pay particular attention to copyright, transparency and the policies of the platform you publish on, to avoid legal and reputational risks. The more powerful the technology, the greater the responsibility that comes with publishing content.

Check the copyright of visuals, audio and characters

Copyright is the first thing to review before publishing an AI video. Visuals, background music, voices and even a character’s face can all involve a third party’s ownership rights. You should prioritize assets with clear licenses, read the tool’s terms carefully regarding commercial rights to the videos it produces, and avoid recreating real people or brands without permission. Checking proactively from the start helps limit disputes down the line.

Do not use AI to impersonate or mislead

AI video should not be used to impersonate identities or spread false information. Recreating someone else’s face or voice to fabricate statements they never made (a deepfake) can break the law and cause serious harm to individuals and organizations. AI-generated content needs to be honest about context and must not be edited in ways that distort the nature of events, especially in sensitive fields such as politics, healthcare or finance. This is both an ethical boundary and a legal requirement that is being tightened ever further.

Check the policies of the publishing platform

Every platform has its own rules for AI-generated content. Many social networks require posters to disclose when a video contains synthetic elements, and they also restrict certain kinds of content. Before posting, read the platform’s policies on AI content, mandatory labels and restricted categories to avoid being removed or having your reach reduced. Understanding the rules helps your content reach the right audience without running into moderation measures.

Be transparent when content needs an AI label

Transparency is what helps keep your viewers’ trust. When a video uses AI-generated visuals, voices or characters, proactively labeling it or adding a clear note helps the audience understand the true nature of the content. Many tools also automatically add an AI-content identifier, and you should not try to remove these marks. Transparency both aligns with the trend toward AI-content governance and reflects a creator’s responsibility to the community.

Conclusion

Making videos with AI is becoming a valuable skill for individuals and businesses that want to produce content quickly and save resources while keeping quality consistent. The seven-step process — from defining the goal, writing the script, writing the prompt, choosing a tool and generating the video, to adding audio, editing and publishing — helps beginners get started easily and steadily raise the quality of their output. Choosing the right category of tool, investing in detailed prompts and checking carefully before publishing are the factors that make the difference. Alongside this, you need to respect copyright, be transparent about AI content and comply with platform policies. With a solid technology foundation and hands-on experience deploying AI solutions, TOT partners with businesses to apply AI to content production and to optimize operational workflows in a sustainable way.

Frequently asked questions

Is making videos with AI free?

Yes — many AI video tools offer a free plan or trial credits that let you get a basic experience at no cost. However, the free version usually limits video length, resolution and the number of generations per day, and it may add a watermark. To export high-resolution video, longer runtimes or use it for commercial purposes, you’ll typically need to upgrade to a paid plan. So you can make videos with AI for free, but at a professional scale there will be costs.

How do you make an AI video on your phone?

On a phone, the simplest way is to use AI-integrated apps such as CapCut or VEED, or access a video tool through the browser. You install the app, enter a prompt or choose an image, use the AI features to create scenes, add narration and auto captions, then export the video in the vertical ratio suited to TikTok, Reels or Shorts. Many actions are optimized for touchscreens, so it suits beginners. You can edit the result right on the device before publishing.

How do you make an AI video from an image?

Making an AI video from an image (image-to-video) is done by uploading one or more images to a supported tool, then describing the motion you want with a prompt. The AI analyzes the image and creates motion, camera effects or animation based on its content. Platforms such as Runway, Kling AI, Pika and Hailuo AI all support this mode. A sharp input image with good composition gives a steadier result. After generating, you review it and regenerate if the motion isn’t what you wanted.

Can you create an AI video from text?

Yes — creating video from text (text-to-video) is one of the most popular approaches today. You simply describe the content, setting and style you want in natural language, and the AI turns that description into video scenes. Models such as Google Veo, Runway and Kling AI all support text-to-video. The quality of the result depends heavily on how detailed the prompt is, including the subject, action, camera angle, lighting and style. The clearer the prompt, the closer the video is to your original idea.

Can you create an AI video without showing your face?

You absolutely can create an AI video without showing a real person’s face. You can choose a virtual-presenter (avatar) video from tools such as HeyGen or Synthesia, or combine AI narration with explainer footage, graphics and stock footage. This suits people who want to build a content channel but are hesitant to appear on camera, or businesses that need to standardize the image of their spokesperson. The content still feels lively thanks to the narration, captions and visuals, while the creator’s real identity stays private.