diff --git a/docs.json b/docs.json
index 0e57151..dd84f62 100644
--- a/docs.json
+++ b/docs.json
@@ -181,6 +181,7 @@
"server/services/tts/openai",
"server/services/tts/piper",
"server/services/tts/playht",
+ "server/services/tts/respeecher",
"server/services/tts/rime",
"server/services/tts/sarvam",
"server/services/tts/xtts"
diff --git a/server/services/supported-services.mdx b/server/services/supported-services.mdx
index 32b1c23..be591ce 100644
--- a/server/services/supported-services.mdx
+++ b/server/services/supported-services.mdx
@@ -99,6 +99,7 @@ Text-to-Speech services receive text input and output audio streams or chunks.
| [OpenAI](/server/services/tts/openai) | `pip install "pipecat-ai[openai]"` |
| [Piper](/server/services/tts/piper) | No dependencies required |
| [PlayHT](/server/services/tts/playht) | `pip install "pipecat-ai[playht]"` |
+| [Respeecher](/server/services/tts/respeecher) | `pip install "pipecat-ai[respeecher]"` |
| [Rime](/server/services/tts/rime) | `pip install "pipecat-ai[rime]"` |
| [Sarvam](/server/services/tts/sarvam) | No dependencies required |
| [XTTS](/server/services/tts/xtts) | `pip install "pipecat-ai[xtts]"` |
diff --git a/server/services/tts/respeecher.mdx b/server/services/tts/respeecher.mdx
new file mode 100644
index 0000000..4c36def
--- /dev/null
+++ b/server/services/tts/respeecher.mdx
@@ -0,0 +1,132 @@
+---
+title: "Respeecher"
+description: "Text-to-speech service using the Respeecher Space WebSocket API"
+---
+
+## Overview
+
+The Respeecher Space API provides high-quality streaming text-to-speech synthesis with low latency.
+
+
+
+ Complete API documentation and method details
+
+
+ Official Respeecher Space documentation
+
+
+ Working example with interruption handling
+
+
+
+## Installation
+
+To use Respeecher services, install the required dependencies:
+
+```bash
+pip install "pipecat-ai[respeecher]"
+```
+
+You'll also need to set up your Respeecher API key as an environment variable: `RESPEECHER_API_KEY`.
+
+
+ Get your API key by signing up at
+ [Respeecher Space](https://space.respeecher.com/).
+
+
+## Frames
+
+### Input
+
+- `TextFrame` - Text to synthesize into speech, subject to optional aggregation
+- `TTSSpeakFrame` - Text that should be spoken immediately
+- `TTSUpdateSettingsFrame` - Runtime configuration updates (e.g., voice, sampling params)
+- `LLMFullResponseStartFrame` / `LLMFullResponseEndFrame` - LLM response boundaries
+
+### Output
+
+- `TTSStartedFrame` - Signals start of synthesis
+- `TTSAudioRawFrame` - Generated audio data chunks
+- `TTSStoppedFrame` - Signals completion of synthesis
+- `ErrorFrame` - Connection or processing errors
+
+## Language Support
+
+Refer to the Respeecher Space [Docs](https://space.respeecher.com/docs)
+for language support in different models.
+
+## Supported Sample Rates
+
+All common sample rates are supported.
+
+## Usage Example
+
+Initialize the WebSocket service with your API key and desired voice:
+
+```python
+from pipecat.services.respeecher.tts import RespeecherTTSService
+import os
+
+# Configure WebSocket service
+tts = RespeecherTTSService(
+ api_key=os.getenv("RESPEECHER_API_KEY"),
+ voice_id="samantha",
+ params=RespeecherTTSService.InputParams(
+ sampling_params={
+ # Optional sampling params overrides
+ # See https://space.respeecher.com/docs/api/tts/sampling-params-guide
+ # "temperature": 0.5
+ },
+ ),
+)
+
+# Use in pipeline
+pipeline = Pipeline([
+ transport.input(),
+ stt,
+ llm,
+ tts,
+ transport.output()
+])
+```
+
+### Dynamic Configuration
+
+Make settings updates by pushing a `TTSUpdateSettingsFrame` for the `RespeecherTTSService`:
+
+```python
+from pipecat.frames.frames import TTSUpdateSettingsFrame
+
+await task.queue_frame(
+ TTSUpdateSettingsFrame(settings={"voice": "your-new-voice-id", "sampling_params": {"temperature": 0.5}})
+)
+```
+
+## Metrics
+
+This service provides:
+
+- **Time to First Byte (TTFB)** - Latency from text input to first audio
+- **Processing Duration** - Total synthesis time
+- **Usage Metrics** - Character count and synthesis statistics
+
+
+ [Learn how to enable Metrics](/guides/fundamentals/metrics) in your Pipeline.
+
+
+## Additional Notes
+
+- **Connection Management**: WebSocket lifecycle is handled automatically with reconnection support
+- **Sample Rate**: Set globally in `PipelineParams` rather than per-service for consistency