diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1cf797076..e81db88a2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,6 +9,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Added
 
+- Added support for a new TTS service, `PiperTTSService`.
+  (see https://github.com/rhasspy/piper/)
+
 - It is now possible to tell whether `UserStartedSpeakingFrame` or
   `UserStoppedSpeakingFrame` have been generated because of emulation frames.
 
diff --git a/dev-requirements.txt b/dev-requirements.txt
index e65c2755c..af1c35721 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -6,6 +6,7 @@ pre-commit~=4.0.1
 pyright~=1.1.397
 pytest~=8.3.4
 pytest-asyncio~=0.25.3
+pytest-aiohttp==1.1.0
 ruff~=0.11.1
 setuptools~=70.0.0
 setuptools_scm~=8.1.0
diff --git a/dot-env.template b/dot-env.template
index 2da20fc0b..f0b5bdc0f 100644
--- a/dot-env.template
+++ b/dot-env.template
@@ -90,3 +90,6 @@ ASSEMBLYAI_API_KEY=...
 
 # OpenRouter
 OPENROUTER_API_KEY=...
+
+# Piper
+PIPER_BASE_URL=...
\ No newline at end of file
diff --git a/examples/foundational/01-say-one-thing-piper.py b/examples/foundational/01-say-one-thing-piper.py
new file mode 100644
index 000000000..256447c23
--- /dev/null
+++ b/examples/foundational/01-say-one-thing-piper.py
@@ -0,0 +1,57 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import asyncio
+import os
+import sys
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+from runner import configure
+
+from pipecat.frames.frames import EndFrame, TTSSpeakFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.services.piper import PiperTTSService
+from pipecat.transports.services.daily import DailyParams, DailyTransport
+
+load_dotenv(override=True)
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+
+async def main():
+    async with aiohttp.ClientSession() as session:
+        (room_url, _) = await configure(session)
+
+        transport = DailyTransport(
+            room_url, None, "Say One Thing", DailyParams(audio_out_enabled=True)
+        )
+
+        tts = PiperTTSService(
+            base_url=os.getenv("PIPER_BASE_URL"), aiohttp_session=session, sample_rate=24000
+        )
+
+        runner = PipelineRunner()
+
+        task = PipelineTask(Pipeline([tts, transport.output()]))
+
+        # Register an event handler so we can play the audio when the
+        # participant joins.
+        @transport.event_handler("on_first_participant_joined")
+        async def on_first_participant_joined(transport, participant):
+            await task.queue_frames(
+                [TTSSpeakFrame(f"Hello there, how are you today ?"), EndFrame()]
+            )
+
+        await runner.run(task)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/src/pipecat/services/piper.py b/src/pipecat/services/piper.py
new file mode 100644
index 000000000..12a936889
--- /dev/null
+++ b/src/pipecat/services/piper.py
@@ -0,0 +1,103 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+from typing import AsyncGenerator, Optional
+
+import aiohttp
+from loguru import logger
+
+from pipecat.frames.frames import (
+    ErrorFrame,
+    Frame,
+    TTSAudioRawFrame,
+    TTSStartedFrame,
+    TTSStoppedFrame,
+)
+from pipecat.services.ai_services import TTSService
+
+
+# This assumes a running TTS service running: https://github.com/rhasspy/piper/blob/master/src/python_run/README_http.md
+class PiperTTSService(TTSService):
+    """Piper TTS service implementation.
+
+    Provides integration with Piper's TTS server.
+
+    Args:
+        base_url: API base URL
+        aiohttp_session: aiohttp ClientSession
+        sample_rate: Output sample rate
+    """
+
+    def __init__(
+        self,
+        *,
+        base_url: str,
+        aiohttp_session: aiohttp.ClientSession,
+        # When using Piper, the sample rate of the generated audio depends on the
+        # voice model being used.
+        sample_rate: Optional[int] = None,
+        **kwargs,
+    ):
+        super().__init__(sample_rate=sample_rate, **kwargs)
+
+        if base_url.endswith("/"):
+            logger.warning("Base URL ends with a slash, this is not allowed.")
+            base_url = base_url[:-1]
+
+        self._base_url = base_url
+        self._session = aiohttp_session
+        self._settings = {"base_url": base_url}
+
+    def can_generate_metrics(self) -> bool:
+        return True
+
+    async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
+        """Generate speech from text using Piper API.
+
+        Args:
+            text: The text to convert to speech
+
+        Yields:
+            Frames containing audio data and status information
+        """
+        logger.debug(f"{self}: Generating TTS [{text}]")
+        headers = {
+            "Content-Type": "text/plain",
+        }
+        try:
+            await self.start_ttfb_metrics()
+
+            async with self._session.post(self._base_url, data=text, headers=headers) as response:
+                if response.status != 200:
+                    eror = await response.text()
+                    logger.error(
+                        f"{self} error getting audio (status: {response.status}, error: {eror})"
+                    )
+                    yield ErrorFrame(
+                        f"Error getting audio (status: {response.status}, error: {eror})"
+                    )
+                    return
+
+                await self.start_tts_usage_metrics(text)
+
+                # Process the streaming response
+                CHUNK_SIZE = 1024
+
+                yield TTSStartedFrame()
+                async for chunk in response.content.iter_chunked(CHUNK_SIZE):
+                    # remove wav header if present
+                    if chunk.startswith(b"RIFF"):
+                        chunk = chunk[44:]
+                    if len(chunk) > 0:
+                        await self.stop_ttfb_metrics()
+                        yield TTSAudioRawFrame(chunk, self.sample_rate, 1)
+        except Exception as e:
+            logger.error(f"Error in run_tts: {e}")
+            yield ErrorFrame(error=str(e))
+        finally:
+            logger.debug(f"{self}: Finished TTS [{text}]")
+            await self.stop_ttfb_metrics()
+            yield TTSStoppedFrame()
diff --git a/tests/test_piper_tts.py b/tests/test_piper_tts.py
new file mode 100644
index 000000000..8db6bf1d1
--- /dev/null
+++ b/tests/test_piper_tts.py
@@ -0,0 +1,132 @@
+"""Tests for PiperTTSService."""
+
+import asyncio
+
+import aiohttp
+import pytest
+from aiohttp import web
+
+from pipecat.frames.frames import (
+    ErrorFrame,
+    TTSAudioRawFrame,
+    TTSSpeakFrame,
+    TTSStartedFrame,
+    TTSStoppedFrame,
+    TTSTextFrame,
+)
+from pipecat.services.piper import PiperTTSService
+from pipecat.tests.utils import run_test
+
+
+@pytest.mark.asyncio
+async def test_run_piper_tts_success(aiohttp_client):
+    """Test successful TTS generation with chunked audio data.
+
+    Checks frames for TTSStartedFrame -> TTSAudioRawFrame -> TTSStoppedFrame.
+    """
+
+    async def handler(request):
+        # The service expects a /?text= param
+        # Here we're just returning dummy chunked bytes to simulate an audio response
+        text_query = request.rel_url.query.get("text", "")
+        print(f"Mock server received text param: {text_query}")
+
+        # Prepare a StreamResponse with chunked data
+        resp = web.StreamResponse(
+            status=200,
+            reason="OK",
+            headers={"Content-Type": "audio/raw"},
+        )
+        await resp.prepare(request)
+
+        # Write out some chunked byte data
+        # In reality, you’d return WAV data or similar
+        data_chunk_1 = b"\x00\x01\x02\x03" * 1024  # 4096 bytes, 04 TTSAudioRawFrame
+        data_chunk_2 = b"\x04\x05\x06\x07" * 1024  # another chunk
+        await resp.write(data_chunk_1)
+        await asyncio.sleep(0.01)  # simulate async chunk delay
+        await resp.write(data_chunk_2)
+        await resp.write_eof()
+
+        return resp
+
+    # Create an aiohttp test server
+    app = web.Application()
+    app.router.add_post("/", handler)
+    client = await aiohttp_client(app)
+
+    # Remove trailing slash if present in the test URL
+    base_url = str(client.make_url("")).rstrip("/")
+
+    async with aiohttp.ClientSession() as session:
+        # Instantiate PiperTTSService with our mock server
+        tts_service = PiperTTSService(base_url=base_url, aiohttp_session=session, sample_rate=24000)
+
+        frames_to_send = [
+            TTSSpeakFrame(text="Hello world."),
+        ]
+
+        expected_returned_frames = [
+            TTSStartedFrame,
+            TTSAudioRawFrame,
+            TTSAudioRawFrame,
+            TTSAudioRawFrame,
+            TTSAudioRawFrame,
+            TTSAudioRawFrame,
+            TTSAudioRawFrame,
+            TTSAudioRawFrame,
+            TTSAudioRawFrame,
+            TTSStoppedFrame,
+            TTSTextFrame,
+        ]
+
+        frames_received = await run_test(
+            tts_service,
+            frames_to_send=frames_to_send,
+            expected_down_frames=expected_returned_frames,
+        )
+        down_frames = frames_received[0]
+        audio_frames = [f for f in down_frames if isinstance(f, TTSAudioRawFrame)]
+        for a_frame in audio_frames:
+            assert a_frame.sample_rate == 24000, "Sample rate should match the default (24000)"
+
+
+@pytest.mark.asyncio
+async def test_run_piper_tts_error(aiohttp_client):
+    """Test how the service handles a non-200 response from the server.
+
+    Expects an ErrorFrame to be returned.
+    """
+
+    async def handler(_request):
+        # Return an error status for any request
+        return web.Response(status=404, text="Not found")
+
+    app = web.Application()
+    app.router.add_post("/", handler)
+    client = await aiohttp_client(app)
+    base_url = str(client.make_url("")).rstrip("/")
+
+    async with aiohttp.ClientSession() as session:
+        tts_service = PiperTTSService(base_url=base_url, aiohttp_session=session, sample_rate=24000)
+
+        frames_to_send = [
+            TTSSpeakFrame(text="Error case."),
+        ]
+
+        expected_down_frames = [TTSStoppedFrame, TTSTextFrame]
+
+        expected_up_frames = [ErrorFrame]
+
+        frames_received = await run_test(
+            tts_service,
+            frames_to_send=frames_to_send,
+            expected_down_frames=expected_down_frames,
+            expected_up_frames=expected_up_frames,
+        )
+        up_frames = frames_received[1]
+
+        assert isinstance(up_frames[0], ErrorFrame), "Must receive an ErrorFrame for 404"
+        assert "status: 404" in up_frames[0].error, (
+            "ErrorFrame should contain details about the 404"
+        )