How to Split Audio by Time Using FFMPEGAPI.net

Understanding the Split Audio by Time Endpoint

The Split Audio by Time endpoint allows you to extract a specific segment of audio based on millisecond timestamps. This is particularly useful for applications needing to work with audio snippets, such as in content creation or automated workflows.

API Parameters Explained

To make a request to the Split Audio by Time endpoint, you need to provide several parameters:

1. **audio_url**: The URL of the audio file you want to process.

2. **start_time**: The starting point of the audio segment in milliseconds.

3. **end_time**: The endpoint of the audio segment in milliseconds (must be greater than start_time).

4. **async**: An optional parameter to allow asynchronous processing.

Making a Request with cURL

Here's how you can make a request to the Split Audio by Time endpoint using cURL. This example extracts a segment of audio from 1 second to 11 seconds from the provided audio URL.

curl -X POST https://ffmpegapi.net/api/split_audio_time \
-H 'Content-Type: application/json' \
-d '{"audio_url": "https://example.com/audio.mp3", "start_time": 1000, "end_time": 11000}'

Using Python for API Requests

If you prefer Python, you can use the requests library to interact with the FFMPEGAPI.net. Below is an example that demonstrates how to extract the same audio segment.

This method is efficient for integrating audio processing within your Python applications.

import requests

url = 'https://ffmpegapi.net/api/split_audio_time'
data = {
    'audio_url': 'https://example.com/audio.mp3',
    'start_time': 1000,
    'end_time': 11000
}

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