Write the shot. Generate the motion.

What is an AI text to video generator?

An AI text to video generator converts a written prompt into a finished video clip. You describe the scene in plain language and a video model synthesizes motion, camera behavior and lighting — no filming, editing suite or stock library required.

SeeDanceE2 puts six leading video models behind one prompt box: write once, generate on the model that fits your shot, and compare results side by side before spending more credits.

How does text to video generation on SeeDanceE2 work?

Three steps: write a shot prompt, pick a model and mode, then generate and refine in the workspace.

1. 01

   Write the shot prompt

   Name subject, action, camera move and style in one sentence — e.g. “A glass perfume bottle rotates on a marble turntable, soft rim light, slow dolly-in, cinematic 35mm look.”

2. 02

   Choose model and mode

   Cinematic mode for finished footage, draft mode for fast iteration. Models differ in motion realism, maximum length and credit cost.

3. 03

   Generate and refine

   Results land in your generation history. Re-run with adjusted wording or switch models to compare motion and color before exporting.

Which AI video models can you use?

One workspace covers the current leading generators: Seedance 2.0, the Seedance 2.5 preview, Wan 2.6/2.7, Kling 2.6/3.0 Std & Pro, Veo 3.1 and Sora 2.

Credit costs are model-based, so a draft on a budget model costs a fraction of a premium render — useful for A/B testing the same prompt.

Text to video vs image to video: which should you start with?

Start from text when the scene does not exist yet and you want the model to invent it. Start from image when you already have a frame — product photo, key art, character sheet — and want that exact composition animated.

Many teams draft from text first, then move the strongest frame into image-to-video for controlled motion.

What makes a good text to video prompt?

Concrete beats poetic: name the subject, one clear action, an explicit camera move and a style anchor, in roughly 25–40 words.

• Subject first — say who or what is in frame
• One action per shot: walk, turn, pour, explode
• Use camera language: dolly-in, pan, handheld, drone shot
• Add a style anchor: 35mm film, studio product lighting, anime cel-shading
• Keep it short, then iterate one change at a time

Can I generate long AI videos, not just short clips?

Yes. The long-video pipeline generates continuous videos up to 180 seconds, keeping characters, lighting and scene logic consistent across shots instead of producing five-second loops.

Long-form output suits brand stories, tutorials and mini-documentaries; short clips remain the format for ad variants and teasers.

How much does AI text to video cost?

You pay in model-based credits: each model has a per-second rate, so cost scales with duration and quality tier. New accounts receive free welcome credits, and pay-as-you-go credit packs work without a subscription.

The workspace shows a credit estimate before you submit, so the cost of every shot is known upfront.

Who uses an AI text to video generator?

Teams that need video volume without a studio: performance marketers produce ad variants, filmmakers storyboard scenes, e-commerce brands animate product concepts, and creators build explainers.

The FAQ page covers account, billing and model questions in detail.

Text to video FAQ

Key takeaways

1. 1.One prompt box, six leading models — compare motion quality before spending premium credits.
2. 2.Up to 180 seconds of continuous video with cross-shot consistency, well beyond typical 5–10 s clips.
3. 3.Free welcome credits to start; model-based costs shown before every generation.

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