How to Create Videos with AI (Step-by-Step Guide)

Artificial intelligence has completely transformed the way creators, marketers, and businesses produce video content. What once required a full production team, expensive equipment, and days of editing can now be accomplished in minutes, with nothing more than a text prompt or a few images. Whether you’re a complete beginner or a seasoned content creator, AI video tools have made professional-quality video accessible to everyone.

This guide walks you through exactly how to create videos with AI, from choosing the right tool to publishing your final result. Throughout this guide, we’ll reference OpenArt as a practical example — it combines 70+ leading video models (including Seedance 2.0, Kling 3, Google Veo 3.1, Sora 2, and Wan 2.7) in one platform, so you can follow along without juggling multiple subscriptions.

What Is AI Video Generation?

AI video generation uses machine learning models, particularly diffusion models and large language models, to produce video content from text descriptions, images, or existing footage and create videos. These models are trained on vast datasets of video and visual media, learning patterns of motion, lighting, composition, and style.

Modern AI video tools can:

• Generate entirely new videos from a text prompt
• Animate still images into fluid video clips
• Extend or edit existing video footage
• Add voiceovers, captions, and background music automatically
• Lip-sync avatars to spoken audio

Step 1 — Define Your Goal and Video Type

Before you open any tool, get clear on what you’re creating. AI video platforms are optimized for different use cases, so knowing your goal saves time.

Ask yourself:

• Is this a short social media clip, a product explainer, or a long-form YouTube video as part of your overall content strategy?
• Do you need realistic footage, animation, or a specific visual style (cinematic, cartoon, etc.)?
• Will there be a narrator, on-screen text, or both?
• What’s your target audience?

For example, a 15-second product showcase clip for Instagram is a completely different project than a 5-minute educational video. Defining this upfront ensures you pick the right tool and align your video with efficient content workflows.

Step 2 — Choose the Right AI Video Tool

This is where most beginners get stuck. There are dozens of platforms available, and each has different strengths. Using a reliable AI video generator gives you access to multiple generation styles and models in one place, which is ideal if you’re still exploring what works best for your content.

Here’s a breakdown of the main categories:

1. Text-to-Video Tools — You write a prompt describing the scene, and the AI generates the footage. Best for creative or conceptual content where you don’t have existing assets.
2. Image-to-Video Tools — You upload a still image, and the AI animates it. Great for product photos, artwork, or portraits.
3. Template-Based Tools — You choose a layout, drop in your text and media, and the AI assembles a polished video. Ideal for social media content, ads, and presentations.
4. Avatar & Talking Head Tools — You provide a script, and an AI avatar delivers it on screen. Commonly used for explainer videos, training content, and YouTube channels.
5. Faceless Video Creation Tools – You provide a script or an idea, and ai generates scene by scene visuals and voiceover. Best for creators and marketers making social videos, product explainers, or ads.

When evaluating a tool, look at: output resolution, video length limits, generation speed, customization options, and pricing.

Step 3 — Write a Strong Prompt (For Text-to-Video)

If you’re using a text-to-video tool, your prompt is everything. A vague prompt produces vague results. A specific, well-structured prompt produces something much closer to what you actually want.

A good video prompt includes:

• Subject — What or who is in the video? (“A woman walking through a sunlit forest”)
• Action — What is happening? (“slowly turning to look at the camera”)
• Setting — Where and when? (“golden hour, misty morning, dense trees in the background”)
• Style — What should it look like? (“cinematic, 4K, shallow depth of field, film grain”)
• Mood — What feeling should it evoke? (“calm, mysterious, dreamlike”)

A full example prompt: “A young woman in a white dress walking slowly through a misty forest at golden hour, turning to glance at the camera, cinematic shot, 4K, shallow depth of field, soft warm tones.”

Iterate on your prompts. Your first result won’t be perfect. Refine the wording, adjust the style descriptors, and regenerate until you get something usable. OpenArt’s text-to-video tool make iteration fast by letting you switch models (e.g. Veo 3.1 for realism, Kling 3.0 for motion) on the same prompt without retyping everything.

Step 4 — Edit and Enhance Your Output

Raw AI-generated video almost always needs some post-processing. Even the best tools produce clips that benefit from trimming, color grading, or the addition of music and text overlays.

You can also start from an existing asset instead of a text prompt — for example, using image-to-video animation to bring product photos, illustrations, or portraits to life in a few seconds. The wan ai model family, including Wan 2.7, is open-source and specializes in this exact image-to-video conversion, generating 480p to 720p output that runs on consumer-grade GPUs.

Common enhancements to apply:

• Trim and cut — Remove any awkward frames at the start or end of clips
• Color grading — Adjust brightness, contrast, and saturation to match your brand or desired tone
• Add music — AI tools can generate royalty-free background music to match your video’s mood
• Voiceover — Use AI text-to-speech to narrate your video if needed
• Captions — Auto-generated subtitles increase accessibility and engagement, especially on mobile

Step 5 — Export and Publish

Once your video looks the way you want it, export it in the correct format for your intended platform.

Quick reference:

• YouTube — MP4, 1080p or 4K, H.264 codec
• Instagram Reels / TikTok — MP4, vertical (9:16), 1080 x 1920px
• LinkedIn / Twitter (X) — MP4, horizontal or square, under 5 minutes for best reach
• Website embed — Compress the file to keep load times fast

Always review your video one final time before publishing, check for any visual glitches, awkward motion, or text errors that AI tools occasionally produce.

Final Thoughts

Creating videos with AI is no longer a niche skill; it’s becoming a standard part of content creation workflows across industries. The barrier to entry is lower than ever, and the quality ceiling keeps rising with every new model release.

The key is to start simple, experiment freely, and refine as you go. Pick one tool, learn its strengths, and produce a few test videos before committing to a full workflow. Once you understand how prompts, styles, and editing interact, you’ll be producing polished AI video content faster than you ever thought possible.

The future of video creation is already here, and it starts with a single prompt.