Runway recently announced the addition of 'Recipes' to its application programming interface.
This new set of features provides developers with pre built endpoints designed to deliver finished generative media outputs through a single call. The endpoints incorporate the company’s accumulated expertise in prompting and multi step processing so that users receive polished results without constructing or managing the underlying workflows themselves.
The introduction of Recipes creates two distinct pathways within the Runway API.
One pathway involves building custom Workflows where developers chain models and logic according to their own specifications.
The other pathway uses the new Recipes which are opinionated and outcome focused.
Runway maintains and optimizes these endpoints internally ensuring consistency and reducing the engineering effort required on the user side.
New on the Runway API: Recipes.
Drop production-ready generative media features into your platform, with one API call. Recipes are Runway-built endpoints with our prompting and workflow expertise packaged in. Polished results, without building or maintaining the workflow… pic.twitter.com/mpVolrNL6s— Runway (@runwayml) June 17, 2026
This separation allows teams to choose the level of control that matches their needs while still accessing the latest generative capabilities.
Specific Recipes target common production needs in commercial media.
One generates video advertisements for products when supplied with a single product image. Another takes an existing video reference and replaces the featured product with a different one while preserving camera movement lighting and scene composition. A further option produces multi shot videos that include cuts between scenes. In automatic mode this recipe decomposes a single story prompt into a sequence of shots.
In custom mode developers supply an ordered list of individual shots each with its own prompt and duration.
Additional recipes address related tasks such as creating product focused user generated content style videos and campaign imagery.
These capabilities support practical uses such as dynamic product visualization in online stores creation of promotional video content and generation of user generated style videos.
The design prioritizes scalability allowing integration into platforms that may process large numbers of requests.
Results are returned asynchronously so applications can submit tasks and retrieve completed media once processing finishes.
Parameters such as output duration aspect ratio and version pinning help maintain consistent behavior across different calls and environments.
A demonstration shared with the announcement illustrated several of these capabilities in action. It showed product color and item swaps applied to everyday objects like cookware as well as seamless e-commerce style integrations where generated media appears directly in product displays. Code examples accompanied the visuals highlighting straightforward calls using the official software development kits.
Access to Recipes begins at the Runway API site where documentation SDKs for Python and Node.js environments and an interactive playground for testing are provided.
Developers authenticate with an API key and can begin experimenting immediately.
The system includes enterprise oriented safeguards such as high availability commitments compliance certifications and clear policies around data usage and output ownership.
Overall this development represents a step toward making powerful generative AI tools more accessible for commercial software development by abstracting away technical complexities while preserving high standards of output quality. As organizations continue to explore ways to embed video and image generation into user experiences features like Recipes offer a practical route for achieving reliable results at scale.