Overview
Seedance 2.5 API is a powerful, pre-release generative AI interface designed to transform text, images, video, and audio references into high-quality, continuous video takes. It serves as a bridge for developers and AI agents to integrate advanced video synthesis capabilities into their applications, offering a robust framework for cinematic content creation.
Main Purpose and Target User Group
- Main Purpose: Provide a programmable, scalable solution for automated video generation, enabling users to create cinematic sequences, brand blockbusters, and complex visual narratives through API calls.
- Target User Group: Software developers, AI coding agents, creative technologists, and enterprise teams looking to automate high-end video production workflows.
Function Details and Operations
- Multi-Modal Input: Supports text-to-video (T2V) generation with the ability to incorporate image, video, and audio references to guide the output.
- Configurable Parameters: Users can define duration (4–30 seconds), resolution (480p/720p), and model settings.
- Async Processing: Utilizes a polling or
callback_urlmechanism to manage long-running video generation jobs. - Reference Limits: Supports up to 30 image, 10 video, and 10 audio references per request, allowing for highly specific creative control.
- Request Builder: An interactive tool that allows users to shape their API requests and generate ready-to-use payloads or agent prompts before execution.
User Benefits
- Seamless Integration: Designed for both human developers and AI coding agents, with machine-readable documentation (
llms.txt,openapi.json). - Creative Flexibility: Enables the creation of complex, cinematic visual styles—from steampunk motion graphics to high-gloss brand commercials—using precise prompt engineering.
- Workflow Efficiency: Reduces production time by automating the transition from conceptual prompts to rendered video assets.
- Future-Proofing: Built with a configurable model parameter, allowing developers to switch models or update configurations without rewriting core integration code.
Compatibility and Integration
- API-First Design: Fully documented via OpenAPI schemas for easy integration into existing tech stacks.
- Agent-Ready: Specifically optimized for AI coding agents to read context, understand schemas, and write integration code autonomously.
- Provider Support: Operates via providers like EvoLink; users are encouraged to verify provider-specific support and availability before moving to production.
Access and Activation Method
- API Key Management: Users must create an
EVOLINK_API_KEYvia the designated dashboard. - Security Best Practices: The system explicitly advises against hardcoding credentials, recommending that keys be managed securely within application environments.
- Quickstart: Developers can access cURL and Node.js examples to initiate their first API call once the key is provisioned.