How to Split Audio by Time Using FFMPEGAPI.net

What is FFMPEGAPI.net?

FFMPEGAPI.net is a hosted REST API designed for FFmpeg-powered video and audio processing. It allows developers to leverage powerful audio manipulation functionalities without managing the underlying FFmpeg infrastructure.

Whether you're building applications for automation, SaaS, content pipelines, or AI agents, FFMPEGAPI.net provides a seamless experience with API-key authentication for secure workflows.

How to Use the Split Audio by Time Endpoint

The Split Audio by Time endpoint allows you to extract audio segments based on specified timestamps. This can be particularly useful for applications that require precise audio editing.

Here’s a breakdown of the endpoint details:

Endpoint Parameters Explained

To effectively use the Split Audio by Time endpoint, you need to understand its parameters:

1. **audio_url**: The URL of the audio file you wish to process. This parameter is required.

2. **start_time**: The beginning point in milliseconds for the audio you want to extract. This parameter is also required.

3. **end_time**: The ending point in milliseconds. It must be greater than the start_time and is required.

4. **async**: If set to true, it will return a job ID immediately, processing the request in the background.

Practical Example of Splitting Audio

To illustrate how to use the Split Audio by Time endpoint, here’s a practical example using both cURL and Python.

In this example, we will extract audio from an example URL, starting at 1 second (1000 milliseconds) and ending at 11 seconds (11000 milliseconds).

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}'

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())