Generate music and sound effects for applications with Cassette AI’s usage-priced audio endpoints and developer tools.
Cassette AI provides generative audio tools for developers building games, creative applications and other audio workflows. Its current public offering centres on music and sound-effects APIs. A website playground demonstrates sample outputs, while production examples show how to request audio through a supported developer client.
The music endpoint accepts a descriptive prompt and duration. Prompts can include the intended mood, genre, tempo or key, allowing an application to request a track that fits a particular scene or interaction. The service publishes stereo WAV output at 44.1 kHz and a documented production duration range up to three minutes per call.
The sound-effects endpoint creates audio from an event description, such as a mechanical action or an environmental sound. It has its own duration limits and pricing. Music and effects are separate operations even though the developer examples use a similar request shape. A finished application should validate the returned duration, audio level and content before presenting it to a user.
Official examples use fal.ai clients in JavaScript and Python, with ordinary HTTP requests also supported. The site discusses deterministic seeds, streaming-oriented design and options for dedicated capacity or on-device licensing. Those specialised arrangements should be confirmed directly rather than assumed to be included in a standard hosted API call.
The published music rate is based on output minutes, while sound effects have a per-generation price. The reviewed homepage does not list a recurring free production allocation. Its no-signup demonstration is a way to hear the output, not evidence that unlimited API use is free.
Text-to-speech appears on the site as a forthcoming capability, with launch pricing still to be determined. It should not be listed as a currently available voice-cloning service. Cassette AI is most relevant when a developer needs generated audio inside a product and can test latency, output quality and rights for the intended use. Marketing speed examples describe particular workloads rather than a response-time guarantee for every request.
