Seedance
Product information, use cases, and access for Seedance.
Pricing information
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What is Seedance?
Seedance suits video creators, advertising teams, and production professionals who want to develop moving images from text, pictures, audio, or existing video material. It is most relevant to concept development where visual motion and matching sound need to be considered together.
Users can combine different input types to explore video generation, extension, and editing ideas. The workflow is useful for testing shots, building concept drafts, and experimenting with character or physical continuity before selecting and refining the most suitable result.
Key features of Seedance
Multimodal input
Seedance supports text, image, audio, and video as native input modalities, allowing creators to use one source or combine several. This suits workflows that bring scripts, visual references, sound, or existing footage into one video concept.
Synchronized audio and video generation
The model uses a joint audio-video generation approach to create moving imagery together with a corresponding audio track. This is useful for concept clips and audiovisual experiments where motion and sound should be developed as one creative result.
Video extension and editing
Seedance supports extending and editing video content around an existing clip, giving creators a way to explore new duration and visual variations from prior material. It fits shot continuation, creative iteration, and reworking footage rather than only starting from scratch.
High-resolution visual output
Seedance is described as producing 2K visuals together with a matched audio track in one generation process. This is relevant for clearer concept previews and early quality review, while final delivery suitability still depends on the project’s requirements.
Character and physical consistency
The model is described as supporting consistency constraints for characters and physical relationships, which helps when shots need coherent identity, movement, or scene changes. Creators can use this for continuity experiments and then select or correct results during review.