AI video generators

How to choose

Who this is for. Marketers, creators and product teams choosing a way to generate video from text or images, whether they need raw cinematic clips, an edited social cut, or a presenter avatar reading a script in several languages.

Who this is not for. Teams that only need live-action shooting, colour grading or sound mixing with no generative step, anyone who has already standardised on one video model, and readers looking for a scored ranking or measured quality tests.

• Decide which step you are buying: a model that returns a raw clip, a suite that assembles and edits footage, or an avatar that speaks a script.
• Check duration limits, resolution and aspect ratios, and whether you can drive output from your own image, footage or actor rather than a text prompt alone.
• If the clip will be published, read the terms on watermarking, commercial use and region availability before building a workflow around a tool.
• For avatar or presenter video, compare avatar and voice libraries, supported languages, and whether brand kits keep templates consistent.
• If you feed existing footage in, look for an editor that handles transcription, captions and dubbing rather than generation alone.

Text-to-video models

Model-first engines that return a clip from a prompt, image or reference: several are open-weight, others sit behind a cloud API, and some ship native audio. Unlike the next group, they leave editing, captions and assembly to you, and unlike the avatar section they render scenes rather than a person reading a script.

Creative suites and editors

Suites that generate and then finish the job: a timeline or scene editor, motion and effects, or automatic repurposing of existing footage into captioned shorts. Where the previous group hands you a raw clip, these assemble an output, and where the next group animates a face to a script, these render scenes, b-roll and cutdowns.

Avatar and presenter videos

Tools whose output is a person speaking your script: synthetic avatars or photo animation from text, audio or a still image, plus translation and dubbing. Neither of the groups above starts from a script and a face, so choose this one when the message and its languages matter more than cinematography.

Frequently asked questions

Related comparisons

• HeyGen vs Synthesia vs D-ID
• Luma Dream Machine vs Kling AI vs Pika

Sources and record dates

Record dates describe index updates, not independent product tests. Check linked documentation for current features and pricing.