#what is the difference between the api's client.textToSpeech.convert and client.text_to_speech.conv
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The difference between generate and convert within Projects is as follows:
-
Generate: This function is used to create audio for specific paragraphs or sections within a chapter. It allows you to generate audio for individual paragraphs without affecting the entire project. This is useful for editing or regenerating specific parts without using additional credits if the paragraph has already been generated.
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Convert: This option processes the entire project or specific chapters, creating a complete audio file. It uses credits based on the total length of the text being converted. This method is suitable for finalizing and downloading the entire project or chapters.
Both methods allow you to download the audio, but "convert" is better for creating a complete version, while "generate" is more flexible for editing specific sections. For more details, you can refer to the article.
what is the output schema you get back fromt he convert api?
The response from the convert API is of type any and is returned in JSON format. For more detailed information on the API response, you can refer to the Text to Speech with Timing - ElevenLabs documentation.
show me how to properly convert the response for client.textToSpeech.convert
To properly convert text to speech using the client.textToSpeech.convert method, you can follow the example provided for Python. This example demonstrates how to convert text into speech and save it as an MP3 file:
import os
import uuid
from elevenlabs import VoiceSettings
from elevenlabs.client import ElevenLabs
ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")
client = ElevenLabs(api_key=ELEVENLABS_API_KEY)
def text_to_speech_file(text: str) -> str:
# Calling the text_to_speech conversion API with detailed parameters
response = client.text_to_speech.convert(
voice_id="pNInz6obpgDQGcFmaJgB", # Adam pre-made voice
output_format="mp3_22050_32",
text=text,
model_id="eleven_turbo_v2_5", # use the turbo model for low latency
voice_settings=VoiceSettings(
stability=0.0,
similarity_boost=1.0,
style=0.0,
use_speaker_boost=True,
),
)
# Generating a unique file name for the output MP3 file
save_file_path = f"{uuid.uuid4()}.mp3"
# Writing the audio to a file
with open(save_file_path, "wb") as f:
for chunk in response:
if chunk:
f.write(chunk)
print(f"{save_file_path}: A new audio file was saved successfully!")
# Return the path of the saved audio file
return save_file_path
# Example usage
text_to_speech_file("Hello World")
This script sets up the ElevenLabs client, calls the convert method with the necessary parameters, and writes the audio response to an MP3 file. Make sure to replace the ELEVENLABS_API_KEY and voice_id with your actual API key and desired voice ID.
show me using javascript and typescript
To convert text to speech using the ElevenLabs API in JavaScript and TypeScript, you can use the convert method from the ElevenLabs SDK. Below is an example of how you can implement this in both JavaScript and TypeScript:
JavaScript
const { ElevenLabsClient } = require('elevenlabs');
const client = new ElevenLabsClient({ apiKey: 'YOUR_API_KEY' });
async function convertTextToSpeech(voiceId, text) {
try {
const response = await client.textToSpeech.convert(voiceId, {
text: text,
modelId: 'eleven_turbo_v2_5',
outputFormat: 'mp3_44100_128'
});
// Handle the response, which is a stream of audio data
response.pipe(require('fs').createWriteStream('output.mp3'));
console.log('Audio saved successfully.');
} catch (error) {
console.error('Error converting text to speech:', error);
}
}
convertTextToSpeech('your_voice_id', 'Hello, this is a test.');
TypeScript
import { ElevenLabsClient } from 'elevenlabs';
import * as fs from 'fs';
const client = new ElevenLabsClient({ apiKey: 'YOUR_API_KEY' });
async function convertTextToSpeech(voiceId: string, text: string): Promise<void> {
try {
const response = await client.textToSpeech.convert(voiceId, {
text: text,
modelId: 'eleven_turbo_v2_5',
outputFormat: 'mp3_44100_128'
});
// Handle the response, which is a stream of audio data
response.pipe(fs.createWriteStream('output.mp3'));
console.log('Audio saved successfully.');
} catch (error) {
console.error('Error converting text to speech:', error);
}
}
convertTextToSpeech('your_voice_id', 'Hello, this is a test.');
In both examples, replace 'YOUR_API_KEY' and 'your_voice_id' with your actual API key and voice ID. The convert method returns a stream of audio data, which you can save to a file using a writable stream.
why am i getting this error - [Error: Cannot read property 'length' of undefined]