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Programmatically Split Audio with FFMPEGAPI.net: A Developer's Guide

June 2026 FFMPEG API Team

If you're a developer looking to streamline audio processing tasks, splitting audio files is a common requirement in many applications. FFMPEGAPI.net offers a powerful yet easy-to-use REST API that allows you to extract specific segments from audio files without the need for complex server setups. In this article, we’ll explore how to use the Split Audio by Time endpoint to programmatically split audio files seamlessly.

What is FFMPEGAPI.net?

FFMPEGAPI.net is a hosted REST API designed for audio and video processing using FFmpeg, making it an ideal solution for developers who want to integrate media processing capabilities into their applications without managing the backend infrastructure.

With features like API-key authentication and extensive documentation, FFMPEGAPI.net empowers developers to work on automation, SaaS applications, content pipelines, and AI agents efficiently.

  • No server setup required.
  • Focus on development while we manage the FFmpeg infrastructure.
  • Ideal for real-time media processing workflows.

Understanding the Split Audio by Time Endpoint

The Split Audio by Time endpoint allows you to extract a specific range from an audio file based on start and end timestamps provided in milliseconds. This functionality is essential for applications that require precise audio segment retrieval.

  • Endpoint Path: /api/split_audio_time
  • HTTP Method: POST
  • Content Type: application/json

Parameters for the Split Audio by Time API

To use this endpoint, you need to provide several parameters that define the audio source and the time range for extraction. Here’s a breakdown of the required parameters:

  • audio_url (string): The URL of the audio file you want to split.
  • start_time (number): The start time of the segment in milliseconds.
  • end_time (number): The end time of the segment in milliseconds. It must be greater than start_time.
  • async (boolean): Optional parameter to process the request in the background.

Practical Example: Splitting Audio Using cURL

Here’s how you can utilize the Split Audio by Time endpoint using a simple cURL command:

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}'

Additional Example: Splitting Audio Using Python

If you prefer working with Python, here’s a quick example using the requests library to achieve the same result:

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())

FFMPEGAPI.net provides a robust solution for developers seeking to split audio files programmatically with minimal effort. By leveraging its hosted REST API, you can focus on building your applications while leaving the heavy lifting of audio processing to us. Start using the Split Audio by Time endpoint today and enhance your audio processing workflows effortlessly!

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