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This article details a technical implementation guide for OpenRouter's new text-to-speech API, enabling developers to access models from multiple providers via a unified endpoint. The content focuses on practical aspects of authentication, request formatting, and response handling specifically for generating audio files programmatically.
OpenRouter Text-to-Speech: API Tutorial in 5 Minutes

Our OpenAI-compatible speech endpoint puts TTS models from Mistral, xAI, Microsoft, and more behind one request shape. Here's the path from API key to a playable MP3 in cURL, Python, JavaScript, and the OpenAI SDK, plus the response checks that keep JSON errors out of your audio files.
We support text-to-speech through the OpenAI-compatible POST /api/v1/audio/speech endpoint. Send text, a model, and a supported voice, then save or stream the audio. One API key reaches TTS models from multiple providers using the same request structure. This tutorial covers authentication, synthesis, response validation, streaming, and model or voice changes. Send TTS requests to https://openrouter.ai/api/v1/audio/speech. Use the OpenAI Python SDK by setting base_url to https://openrouter.ai/api/v1. Change the voice value in one line when the model supports another voice. Change the matching model and voice together when you switch providers. You name the model in the request body. The endpoint, authentication, and response handling stay the same whichever provider’s speech model you pick. Our audio API announcement covers the wider launch. For speech-to-text, use our transcription guide. Create an OpenRouter API key and store it in an environment variable to keep it out of your source code. All examples use https://openrouter.ai/api/v1 as the base URL and send the key in the Authorization:…
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