Audio & Voice

Machine listening and machine speaking have converged into one toolkit, and Audio & Voice collects it. The area spans anything that generates sound, reshapes existing sound, or reads meaning out of it: synthetic narration, cloned and invented speakers, generated music beds, short sound design, noise removal and mastering for badly captured material, dubbing across languages, and the recognition systems that turn speech into searchable text and captions.

Buyers are mixed. Marketing teams want narration without booking a booth; e-learning teams need one script delivered in several languages; sales organizations push call recordings through recognition to build records and analytics; editors and game developers need music and effects that clear rights cleanly; journalists need transcripts they can quote. Audio and voice AI tools separate on voice naturalness, prosody control, language and accent coverage, accuracy on noisy or overlapping audio, latency, export formats, and whether a usable API exists.

Test on your own material rather than the demo reel. A model convincing on clean studio prose often stumbles over technical vocabulary, proper nouns and crosstalk. Read what the license permits for commercial use, and for voices or music derived from other people's recordings. Pricing follows consumption, metered as characters synthesized, minutes processed or generation credits, sometimes alongside per-seat licenses and a small free tier.