text-to-speech

仓库: wlzh/skills
安装量: 36
排名: #19356

安装

npx skills add https://github.com/elevenlabs/skills --skill text-to-speech

ElevenLabs Text-to-Speech Generate natural speech from text - supports 70+ languages, multiple models for quality vs latency tradeoffs. Setup: See Installation Guide . For JavaScript, use @elevenlabs/* packages only. Quick Start Python from elevenlabs import ElevenLabs client = ElevenLabs ( ) audio = client . text_to_speech . convert ( text = "Hello, welcome to ElevenLabs!" , voice_id = "JBFqnCBsd6RMkjVDRZzb" ,

George

model_id

"eleven_multilingual_v2"
)
with
open
(
"output.mp3"
,
"wb"
)
as
f
:
for
chunk
in
audio
:
f
.
write
(
chunk
)
JavaScript
import
{
ElevenLabsClient
}
from
"@elevenlabs/elevenlabs-js"
;
import
{
createWriteStream
}
from
"fs"
;
const
client
=
new
ElevenLabsClient
(
)
;
const
audio
=
await
client
.
textToSpeech
.
convert
(
"JBFqnCBsd6RMkjVDRZzb"
,
{
text
:
"Hello, welcome to ElevenLabs!"
,
modelId
:
"eleven_multilingual_v2"
,
}
)
;
audio
.
pipe
(
createWriteStream
(
"output.mp3"
)
)
;
cURL
curl
-X
POST
"https://api.elevenlabs.io/v1/text-to-speech/JBFqnCBsd6RMkjVDRZzb"
\
-H
"xi-api-key:
$ELEVENLABS_API_KEY
"
-H
"Content-Type: application/json"
\
-d
'{"text": "Hello!", "model_id": "eleven_multilingual_v2"}'
--output
output.mp3
Models
Model ID
Languages
Latency
Best For
eleven_v3
70+
Standard
Highest quality, emotional range
eleven_multilingual_v2
29
Standard
High quality, long-form content
eleven_flash_v2_5
32
~75ms
Ultra-low latency, real-time
eleven_flash_v2
English
~75ms
English-only, fastest
eleven_turbo_v2_5
32
~250-300ms
Balanced quality/speed
eleven_turbo_v2
English
~250-300ms
English-only, balanced
Voice IDs
Use pre-made voices or create custom voices in the dashboard.
Popular voices:
JBFqnCBsd6RMkjVDRZzb
- George (male, narrative)
EXAVITQu4vr4xnSDxMaL
- Sarah (female, soft)
onwK4e9ZLuTAKqWW03F9
- Daniel (male, authoritative)
XB0fDUnXU5powFXDhCwa
- Charlotte (female, conversational)
voices
=
client
.
voices
.
get_all
(
)
for
voice
in
voices
.
voices
:
print
(
f"
{
voice
.
voice_id
}
:
{
voice
.
name
}
"
)
Voice Settings
Fine-tune how the voice sounds:
Stability
How consistent the voice stays. Lower values = more emotional range and variation, but can sound unstable. Higher = steady, predictable delivery.
Similarity boost
How closely to match the original voice sample. Higher values sound more like the original but may amplify audio artifacts.
Style
Exaggerates the voice's unique style characteristics (only works with v2+ models).
Speaker boost
Post-processing that enhances clarity and voice similarity. from elevenlabs import VoiceSettings audio = client . text_to_speech . convert ( text = "Customize my voice settings." , voice_id = "JBFqnCBsd6RMkjVDRZzb" , voice_settings = VoiceSettings ( stability = 0.5 , similarity_boost = 0.75 , style = 0.5 , speed = 1.0 ,

0.25 to 4.0 (default 1.0)

use_speaker_boost

True ) ) Language Enforcement Force specific language for pronunciation: audio = client . text_to_speech . convert ( text = "Bonjour, comment allez-vous?" , voice_id = "JBFqnCBsd6RMkjVDRZzb" , model_id = "eleven_multilingual_v2" , language_code = "fr"

ISO 639-1 code

)
Text Normalization
Controls how numbers, dates, and abbreviations are converted to spoken words. For example, "01/15/2026" becomes "January fifteenth, twenty twenty-six":
"auto"
(default): Model decides based on context
"on"
Always normalize (use when you want natural speech)
"off"
Speak literally (use when you want "zero one slash one five...") audio = client . text_to_speech . convert ( text = "Call 1-800-555-0123 on 01/15/2026" , voice_id = "JBFqnCBsd6RMkjVDRZzb" , apply_text_normalization = "on" ) Request Stitching When generating long audio in multiple requests, the audio can have pops, unnatural pauses, or tone shifts at the boundaries. Request stitching solves this by letting each request know what comes before/after it:

First request

audio1

client . text_to_speech . convert ( text = "This is the first part." , voice_id = "JBFqnCBsd6RMkjVDRZzb" , next_text = "And this continues the story." )

Second request using previous context

audio2

client . text_to_speech . convert ( text = "And this continues the story." , voice_id = "JBFqnCBsd6RMkjVDRZzb" , previous_text = "This is the first part." ) Output Formats Format Description mp3_44100_128 MP3 44.1kHz 128kbps (default) - compressed, good for web/apps mp3_44100_192 MP3 44.1kHz 192kbps (Creator+) - higher quality compressed mp3_44100_64 MP3 44.1kHz 64kbps - lower quality, smaller files mp3_22050_32 MP3 22.05kHz 32kbps - smallest MP3 files pcm_16000 Raw PCM 16kHz - use for real-time processing pcm_22050 Raw PCM 22.05kHz pcm_24000 Raw PCM 24kHz - good balance for streaming pcm_44100 Raw PCM 44.1kHz (Pro+) - CD quality pcm_48000 Raw PCM 48kHz (Pro+) - highest quality ulaw_8000 μ-law 8kHz - standard for phone systems (Twilio, telephony) alaw_8000 A-law 8kHz - telephony (alternative to μ-law) opus_48000_64 Opus 48kHz 64kbps - efficient streaming codec wav_44100 WAV 44.1kHz - uncompressed with headers Streaming For real-time applications, use the stream method (returns audio chunks as they're generated): audio_stream = client . text_to_speech . stream ( text = "This text will be streamed as audio." , voice_id = "JBFqnCBsd6RMkjVDRZzb" , model_id = "eleven_flash_v2_5"

Ultra-low latency

)
for
chunk
in
audio_stream
:
play_audio
(
chunk
)
See
references/streaming.md
for WebSocket streaming.
Error Handling
try
:
audio
=
client
.
text_to_speech
.
convert
(
text
=
"Generate speech"
,
voice_id
=
"invalid-voice-id"
)
except
Exception
as
e
:
print
(
f"API error:
{
e
}
"
)
Common errors:
401
Invalid API key
422
Invalid parameters (check voice_id, model_id)
429
Rate limit exceeded Tracking Costs Monitor character usage via response headers ( x-character-count , request-id ): response = client . text_to_speech . convert . with_raw_response ( text = "Hello!" , voice_id = "JBFqnCBsd6RMkjVDRZzb" , model_id = "eleven_multilingual_v2" ) audio = response . parse ( ) print ( f"Characters used: { response . headers . get ( 'x-character-count' ) } " ) References Installation Guide Streaming Audio Voice Settings
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