Introduction

Overview

The Svara API turns text into lifelike spoken audio. One speech model handles 80 languages with natural code-switching, a growing voice library, zero-shot voice cloning, and token-level streaming. First audio typically arrives in a few hundred milliseconds. Use it to:

• Give voice agents and chatbots a real voice, in your users’ language
• Narrate articles, books, and study material at reading speed
• Drive IVR and telephony flows with 8 kHz μ-law output, no transcoding
• Speak an LLM’s answer while it is still being written, over WebSocket

Base URL

https://platform.kenpathlabs.com/v1

One API, three dialects

The same server speaks three client protocols, so whatever you already use keeps working by changing only the base URL:

• OpenAI-style speech: POST /v1/audio/speech, the primary, fully-featured surface. The official OpenAI SDKs work as-is.
• ElevenLabs-compatible: POST /v1/text-to-speech/{voice_id} and friends, including timestamps and instant voice cloning. The official ElevenLabs SDKs work as-is.
• WebSocket input streaming: send text fragments as they are produced (for example from an LLM) and receive continuous audio with seamless prosody.

Your first call

curl -X POST https://platform.kenpathlabs.com/v1/audio/speech \
  -H "Authorization: Bearer $SVARA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "voice": "3b5275e4f2",
    "input": "नमस्ते! Welcome to Svara.",
    "response_format": "mp3"
  }' --output hello.mp3   # voice 3b5275e4f2 = Tara

That mixed Hindi-English input is intentional: send raw text in any supported language, code-switching included, and the model handles it. No SSML, no phoneme markup.

Next steps

• Quickstart: key, first request, and streaming in five minutes
• Text to speech: every request parameter explained
• Input streaming: wire an LLM’s output straight into speech
• SDKs & compatibility: using the OpenAI and ElevenLabs SDKs