Text-to-speech for eleven Indian languages, including Indian English. Two voices,
both speaking every language, streaming 24 kHz audio.Audio starts arriving before the clip is finished, so you can play it as it
lands rather than waiting for the whole thing.
Quickstart
A clip playing in under a minute.
Voice agents
One socket, a whole conversation, with barge-in.
llms.txt
The whole API in one file, written for a coding agent to read.
Building with Claude, Cursor or Copilot? Paste
https://www.mayaresearch.ai/llm.txt into it. That file is the same API
described here, flattened for a model — endpoint, auth, every voice and
language, frames, error codes and working samples, with no navigation to
follow and nothing to infer.
HTTP for one-off synthesis — a clip for a page, a batch job, anything where
you already have the whole text.WebSocket for conversational agents. One connection carries a whole
conversation: you push text as your LLM writes it, and you can cut a turn off
the moment the user interrupts.
A TLS handshake costs about 300 ms, and a client that opens a new connection
per request pays it every single time. requests.Session() in Python, a
shared agent in Node — either one gets you socket-level latency over plain
HTTP.
