API Introduction
About this API
The AI Video Generator API is a service designed to transform text and image prompts into high-definition video clips. It uses an advanced generative model, Veo, to interpret natural language descriptions and create video sequences that reflect the user's intent. The service can generate video content with a high degree of realism, understanding cinematic language and maintaining visual consistency across frames. The primary function of the API is to provide developers with a tool to programmatically create original video content, complete with synchronized audio, for use in marketing, creative storytelling, training, and other applications.
Key Features
- Multimodal Prompting: The API accepts prompts in multiple formats. It can generate a video from a text description, or it can take an image and animate it based on a supplementary text prompt.
- High-Definition Output: Videos can be generated in high resolution, with some versions supporting up to 1080p and 4K, to provide professional-grade quality.
- Extended Video Length: The model is capable of generating coherent video clips that can last up to and beyond 60 seconds from a single prompt or a series of prompts.
- Cinematic Control: The API understands cinematic terms like "timelapse" or "aerial shots," giving users more creative control over the final video's style and composition. Users can also control camera motion, such as zooming and panning.
- Integrated Audio Generation: The service can generate and automatically synchronize audio elements, including sound effects, ambient noise, and even dialogue, directly with the video content.
- Visual and Physical Consistency: The model is designed for a strong understanding of real-world physics, resulting in more natural movements and consistent interactions between objects, people, and environments within the video.
Use Cases
Scenario 1: Create Dynamic Social Media Advertisements
- Situation: A marketing team wants to create short, engaging video ads for a new product to post on social media platforms.
- Implementation: The team writes a series of descriptive prompts, such as "An aerial shot of our new running shoe splashing through a puddle in slow motion." The system sends these prompts to the API, which returns several video clips. The marketing team then uses these AI-generated clips in their social media advertising campaigns.
Scenario 2: Develop Animated Product Demonstrations
- Situation: An e-commerce company wants to enhance its product pages by turning static product photos into short, explanatory videos.
- Implementation: The company's backend system takes a product image and pairs it with a text prompt like "A 360-degree view of this coffee maker, with steam gently rising from the top." This combined image-and-text prompt is sent to the API. The resulting video provides a dynamic view of the product, which is then embedded on the product detail page.
Scenario 3: Produce Internal Training Materials
- Situation: A corporation's learning and development department needs to create a series of training videos explaining a new internal software process.
- Implementation: The department uses an internal tool that integrates with the API. They input text prompts describing each step, for example, "A close-up shot of a cursor clicking the 'Submit' button, which then turns green." The API generates a video clip for each step. These clips are then stitched together with a voiceover to create a complete training video, reducing production time and resources.
How it Works: Endpoints & Response
The API functions by receiving a POST request containing the prompt details. The system then processes this request asynchronously.