CassetteAI
Generative audio API for music and sound effects, with text to speech coming
Cassetteai.com
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What is CassetteAI?
CassetteAI provides generative audio models for developers and creators. The music model generates tracks from a prompt describing mood, genre or reference, while the sound effects model produces short clips from a described event, from 100 ms up to 12 seconds.
The site presents the models as running with low latency, delivers 44.1 kHz stereo audio and offers a live playground that needs no signup. A third text-to-speech modality with voice cloning and emotion tags is marked as coming soon.
The site also links to a blog and a contact page for business inquiries. Pricing is pay-per-use: $0.02 per output minute for music and $0.01 per sound effect generation. CassetteAI models are also mentioned as available through fal.ai.
Pros & Cons
Pros
- Generates music and sound effects from text prompts through an API and playground.
- Outputs 44.1 kHz stereo audio, and the playground needs no signup to try.
Cons
- Text-to-speech with voice cloning is marked as coming soon, not yet available.
Frequently Asked Questions
We have no pricing information available now, so please check the CassetteAI's website.
According to our latest information, this tool does not seem to have a lifetime deal at the moment, unfortunately.
The music model generates tracks from a prompt describing mood, genre or a reference. The sound effects model produces short clips from a described event, from 100 ms up to 12 seconds. The site lists the output as 44.1 kHz stereo audio.
According to the site, the models are offered through an API and a live playground. The playground needs no signup, so you can try generations before integrating anything into your product. The listing also says the models are available through fal.ai, which is another route to reach them.
Not yet, according to the listing. A third text-to-speech modality with voice cloning and emotion tags is marked as coming soon, so it is not available at the time of the listing. Check the official website for an updated release status before planning any project around it.
The site presents the models as running with low latency, which suggests quick turnaround for short generations. The listing does not give specific response times, so check the official website or test the playground to judge speed for your own workflow before committing.
