Where it works
The same four services — recognition, translation, speech, and language detection — cover very different jobs depending on who's asking. Here's what that looks like in practice, and where to try each one live.
Transcribe every inbound call in the caller's own language, then route it to the right desk automatically. QA teams review conversations at scale instead of sampling a handful by hand, and escalations get flagged from the transcript, not a supervisor listening live.
Serve customers by voice in the language they actually bank in — from onboarding scripts read aloud in Hausa or Igbo to support lines that transcribe and translate a dispute call for a case file. No separate vendor per language.
Turn a single public-information script into audio announcements across every language a citizen might speak, and transcribe town-hall or call-center audio for the public record without a human transcriptionist per language.
Caption a broadcast, translate it for a second-language audience, and generate a dubbed voice track — all from the same source clip, without re-recording. Newsrooms transcribe field audio the moment it lands.
Capture patient conversations accurately regardless of which Nigerian language the consultation happens in, producing a transcript a clinician can review instead of relying on memory or an informal interpreter in the room.
Give an assistant ears and a voice that sound local: transcribe what a user says, detect which language they're speaking if it isn't already known, and answer back in a natural-sounding voice — all over one API instead of stitching together several vendors.
Tell us what you're building and which languages matter to you. We'll set you up with API access and support through evaluation.