While usinf text to speech services, can i also get a json which maps each word to time stamp in ge

[hardy mortar]

AI-generated Answer for silverasphodel

Yes, you can get a JSON that maps each character to its timestamp in the generated audio using our Timestamps API endpoint for Text-to-Speech generation. Here is an example script to achieve this:

import requests
import json
import base64

VOICE_ID = "21m00Tcm4TlvDq8ikWAM"  # Rachel
YOUR_XI_API_KEY = "ENTER_YOUR_API_KEY_HERE"

url = f"https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}/with-timestamps"
headers = {
    "Content-Type": "application/json",
    "xi-api-key": YOUR_XI_API_KEY
}
data = {
    "text": (
        "Born and raised in the charming south, "
        "I can add a touch of sweet southern hospitality "
        "to your audiobooks and podcasts"
    ),
    "model_id": "eleven_multilingual_v2",
    "voice_settings": {
        "stability": 0.5,
        "similarity_boost": 0.75
    }
}

response = requests.post(
    url,
    json=data,
    headers=headers,
)

if response.status_code != 200:
    print(f"Error encountered, status: {response.status_code}, content: {response.text}")
    quit()

# Convert the response which contains bytes into a JSON string from utf-8 encoding
json_string = response.content.decode("utf-8")
# Parse the JSON string and load the data as a dictionary
response_dict = json.loads(json_string)

# The "audio_base64" entry in the dictionary contains the audio as a base64 encoded string,
# we need to decode it into bytes in order to save the audio as a file
audio_bytes = base64.b64decode(response_dict["audio_base64"])

with open('output.mp3', 'wb') as f:
    f.write(audio_bytes)

# The 'alignment' entry contains the mapping between input characters and their timestamps
print(response_dict['alignment'])

The output will be a dictionary containing three lists: characters, character_start_times_seconds, and character_end_times_seconds. Each character in the text will have corresponding start and end timestamps.

[uneven sentinel]

While using text to speech services, can i also get a json which maps each word to start and end time stamp in the generated audio?

[hardy mortar]

AI-generated Answer for silverasphodel

Yes, you can get a JSON that maps each character to its start and end timestamps in the generated audio using our Timestamps API endpoint for Text-to-Speech generation. Here is an example script to achieve this:

import requests
import json
import base64

VOICE_ID = "21m00Tcm4TlvDq8ikWAM"  # Rachel
YOUR_XI_API_KEY = "ENTER_YOUR_API_KEY_HERE"

url = f"https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}/with-timestamps"
headers = {
    "Content-Type": "application/json",
    "xi-api-key": YOUR_XI_API_KEY
}
data = {
    "text": (
        "Born and raised in the charming south, "
        "I can add a touch of sweet southern hospitality "
        "to your audiobooks and podcasts"
    ),
    "model_id": "eleven_multilingual_v2",
    "voice_settings": {
        "stability": 0.5,
        "similarity_boost": 0.75
    }
}

response = requests.post(
    url,
    json=data,
    headers=headers,
)

if response.status_code != 200:
    print(f"Error encountered, status: {response.status_code}, content: {response.text}")
    quit()

# Convert the response which contains bytes into a JSON string from utf-8 encoding
json_string = response.content.decode("utf-8")
# Parse the JSON string and load the data as a dictionary
response_dict = json.loads(json_string)

# The "audio_base64" entry in the dictionary contains the audio as a base64 encoded string,
# we need to decode it into bytes in order to save the audio as a file
audio_bytes = base64.b64decode(response_dict["audio_base64"])

with open('output.mp3', 'wb') as f:
    f.write(audio_bytes)

# The 'alignment' entry contains the mapping between input characters and their timestamps
print(response_dict['alignment'])

The output will be a dictionary containing three lists: characters, character_start_times_seconds, and character_end_times_seconds. Each character in the text will have corresponding start and end timestamps.

[uneven sentinel]

Great this helps a lot!