---
summary: "Azure AI Speech text-to-speech for OpenClaw replies"
read_when:
- You want Azure Speech synthesis for outbound replies
- You need native Ogg Opus voice-note output from Azure Speech
title: "Azure Speech"
---
Azure Speech is a bundled Azure AI Speech text-to-speech provider. OpenClaw
calls the Azure Speech REST API directly with SSML, synthesizing MP3 for
standard replies, native Ogg/Opus for voice notes, and 8 kHz mulaw for
telephony channels such as Voice Call. The request sends the provider-owned
output format through the `X-Microsoft-OutputFormat` header.
| Detail | Value |
| ----------------------- | -------------------------------------------------------------------------------------------------------------- |
| Provider ID | `azure-speech` (alias: `azure`) |
| Website | [Azure AI Speech](https://azure.microsoft.com/products/ai-services/ai-speech) |
| Docs | [Speech REST text-to-speech](https://learn.microsoft.com/azure/ai-services/speech-service/rest-text-to-speech) |
| Auth | `AZURE_SPEECH_KEY` plus `AZURE_SPEECH_REGION` |
| Default voice | `en-US-JennyNeural` |
| Default file output | `audio-24khz-48kbitrate-mono-mp3` |
| Default voice-note file | `ogg-24khz-16bit-mono-opus` |
## Getting started
In the Azure portal, create a Speech resource. Copy **KEY 1** from
Resource Management > Keys and Endpoint, and copy the resource location
such as `eastus`.
```
AZURE_SPEECH_KEY=
AZURE_SPEECH_REGION=eastus
```
```json5
{
messages: {
tts: {
auto: "always",
provider: "azure-speech",
providers: {
"azure-speech": {
voice: "en-US-JennyNeural",
lang: "en-US",
},
},
},
},
}
```
Send a reply through any connected channel. OpenClaw synthesizes the audio
with Azure Speech and delivers MP3 for standard audio, or Ogg/Opus when
the channel expects a voice note.
## Configuration options
All options live under `messages.tts.providers["azure-speech"]`.
| Option | Description |
| ----------------------- | ----------------------------------------------------------------------------------------------------- |
| `apiKey` | Azure Speech resource key. Falls back to `AZURE_SPEECH_KEY`, `AZURE_SPEECH_API_KEY`, or `SPEECH_KEY`. |
| `region` | Azure Speech resource region. Falls back to `AZURE_SPEECH_REGION` or `SPEECH_REGION`. |
| `endpoint` | Optional Azure Speech endpoint override. Falls back to `AZURE_SPEECH_ENDPOINT`. |
| `baseUrl` | Optional Azure Speech base URL override. |
| `voice` | Azure voice ShortName (default `en-US-JennyNeural`). Legacy alias: `voiceId`. |
| `lang` | SSML language code (default `en-US`). |
| `outputFormat` | Audio-file output format (default `audio-24khz-48kbitrate-mono-mp3`). |
| `voiceNoteOutputFormat` | Voice-note output format (default `ogg-24khz-16bit-mono-opus`). |
| `timeoutMs` | Request timeout override in milliseconds. Falls back to the global `messages.tts.timeoutMs`. |
The provider is considered configured once `apiKey` is set plus one of
`region`, `endpoint`, or `baseUrl`. Env vars are only checked as a fallback
for config keys left unset.
## Notes
Azure Speech uses a Speech resource key, not an Azure OpenAI key. The key
is sent as `Ocp-Apim-Subscription-Key`; OpenClaw derives
`https://.tts.speech.microsoft.com` from `region` unless you
provide `endpoint` or `baseUrl`.
Use the Azure Speech voice `ShortName` value, for example
`en-US-JennyNeural`. The bundled provider can list voices through the
same Speech resource and filters out voices marked deprecated, retired,
or disabled.
Azure accepts output formats such as `audio-24khz-48kbitrate-mono-mp3`,
`ogg-24khz-16bit-mono-opus`, and `riff-24khz-16bit-mono-pcm`. OpenClaw
requests Ogg/Opus for `voice-note` targets so channels can send native
voice bubbles without an extra MP3 conversion, and forces
`raw-8khz-8bit-mono-mulaw` for telephony targets.
`azure` is accepted as a provider alias for existing config, but new
config should use `azure-speech` to avoid confusion with Azure OpenAI
model providers.
## Related
TTS overview, providers, and `messages.tts` config.
Full config reference including `messages.tts` settings.
All bundled OpenClaw providers.
Common issues and debugging steps.