The official Python library for the Fish Audio API
Documentation: Python SDK Guide | API Reference
Important
For existing users on Fish Audio Python SDK, please note that the starting version is now 1.0.0. The last version before this was 2025.6.3. You may need to adjust your version constraints accordingly.
The original API in the fish_audio_sdk package has NOT been removed, but you will not receive any updates if you continue using the old versioning scheme.
The simplest fix is to update your dependency to fish-audio-sdk>=1.0.0 to continue receiving updates, or by pinning to a specific version like fish-audio-sdk==1.0.0 when installing via your package manager. There are no changes to the API itself in this transition.
If you're using the legacy fish_audio_sdk and would like to switch to the newer, more robust fishaudio package, see the migration guide to upgrade.
pip install fish-audio-sdk
# With audio playback utilities
pip install fish-audio-sdk[utils]Get your API key from fish.audio/app/api-keys:
export FISH_API_KEY=your_api_key_hereOr provide directly:
from fishaudio import FishAudio
client = FishAudio(api_key="your_api_key")Synchronous:
from fishaudio import FishAudio
from fishaudio.utils import play, save
client = FishAudio()
# Generate audio
audio = client.tts.convert(text="Hello, world!")
# Play or save
play(audio)
save(audio, "output.mp3")Asynchronous:
import asyncio
from fishaudio import AsyncFishAudio
from fishaudio.utils import play, save
async def main():
client = AsyncFishAudio()
audio = await client.tts.convert(text="Hello, world!")
play(audio)
save(audio, "output.mp3")
asyncio.run(main())With custom voice:
# Use a specific voice by ID
audio = client.tts.convert(
text="Custom voice",
reference_id="802e3bc2b27e49c2995d23ef70e6ac89"
)With speed control:
audio = client.tts.convert(
text="Speaking faster!",
speed=1.5 # 1.5x speed
)Reusable configuration:
from fishaudio.types import TTSConfig, Prosody
config = TTSConfig(
prosody=Prosody(speed=1.2, volume=-5),
reference_id="933563129e564b19a115bedd57b7406a",
format="wav",
latency="balanced"
)
# Reuse across generations
audio1 = client.tts.convert(text="First message", config=config)
audio2 = client.tts.convert(text="Second message", config=config)Chunk-by-chunk processing:
# Stream and process chunks as they arrive
for chunk in client.tts.stream(text="Long content..."):
send_to_websocket(chunk)
# Or collect all chunks
audio = client.tts.stream(text="Hello!").collect()# Transcribe audio
with open("audio.wav", "rb") as f:
result = client.asr.transcribe(audio=f.read(), language="en")
print(result.text)
# Access timestamped segments
for segment in result.segments:
print(f"[{segment.start:.2f}s - {segment.end:.2f}s] {segment.text}")Stream dynamically generated text for conversational AI and live applications:
Synchronous:
def text_chunks():
yield "Hello, "
yield "this is "
yield "streaming!"
audio_stream = client.tts.stream_websocket(text_chunks(), latency="balanced")
play(audio_stream)Asynchronous:
async def text_chunks():
yield "Hello, "
yield "this is "
yield "streaming!"
audio_stream = await client.tts.stream_websocket(text_chunks(), latency="balanced")
play(audio_stream)Instant cloning:
from fishaudio.types import ReferenceAudio
# Clone voice on-the-fly
with open("reference.wav", "rb") as f:
audio = client.tts.convert(
text="Cloned voice speaking",
references=[ReferenceAudio(
audio=f.read(),
text="Text spoken in reference"
)]
)Persistent voice models:
# Create voice model for reuse
with open("voice_sample.wav", "rb") as f:
voice = client.voices.create(
title="My Voice",
voices=[f.read()],
description="Custom voice clone"
)
# Use the created model
audio = client.tts.convert(
text="Using my saved voice",
reference_id=voice.id
)| Resource | Description | Key Methods |
|---|---|---|
client.tts |
Text-to-speech | convert(), stream(), stream_websocket() |
client.asr |
Speech recognition | transcribe() |
client.voices |
Voice management | list(), get(), create(), update(), delete() |
client.account |
Account info | get_credits(), get_package() |
from fishaudio.exceptions import (
AuthenticationError,
RateLimitError,
ValidationError,
FishAudioError
)
try:
audio = client.tts.convert(text="Hello!")
except AuthenticationError:
print("Invalid API key")
except RateLimitError:
print("Rate limit exceeded")
except ValidationError as e:
print(f"Invalid request: {e}")
except FishAudioError as e:
print(f"API error: {e}")- Documentation: SDK Guide | API Reference
- Package: PyPI | GitHub
- Legacy SDK: Documentation | Migration Guide
This project is licensed under the Apache-2.0 License - see the LICENSE file for details.