Video Generation

Introduction

AI video generators convert text prompts, scripts, or still images into short videos, animations, and product clips. The category matured quickly: what started as experimental clips can now produce broadcast-quality footage with motion, lip-sync, and camera control. Today these tools are used by marketers to spin up social ads, by creators to illustrate stories without a camera, by educators to produce explainer animations, and by product teams to prototype motion concepts. The list below includes general text-to-video models, avatar and presenter tools, and editing-focused apps that streamline the rest of the post-production workflow.

What is Video Generation?

AI video generation tools use generative models to create video from text, images, or existing footage. Capabilities range from short-clip text-to-video models and avatar presenters to AI-assisted editing features such as automatic cuts, captions, and colour grading. Most run in the cloud and export in common formats suitable for social, ads, and presentations.

Common use cases

• Producing short social ads and product demos from a script
• Turning blog posts into narrated explainer videos
• Generating B-roll and stock footage without a shoot
• Creating avatar-led training and onboarding videos
• Animating still images and illustrations for campaigns
• Prototyping motion concepts for pitches and storyboards

How to choose Video Generation tools

Start with the output you need: length, resolution, and aspect ratio for your target platform. Then compare generation quality, especially for motion coherence, faces, and hands. Pricing is usually credit-based, so estimate the number of clips you will produce per month. Look for editing features that matter to you — automatic captions, voiceover, scene assembly, and brand kits save real time. Finally, check commercial rights and whether the licence covers paid distribution on platforms like YouTube and TikTok.

Frequently asked questions