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How to Split Audio by Time Using FFMPEGAPI.net

June 2026 FFMPEG API Team

In today's digital landscape, developers are constantly seeking efficient tools for audio and video processing. FFMPEGAPI.net offers a powerful hosted REST API for FFmpeg-powered video and audio processing. This article will guide you through the process of splitting audio files by time using the Split Audio by Time endpoint, making your workflow seamless and hassle-free.

Understanding the Split Audio by Time Endpoint

The Split Audio by Time endpoint allows you to extract specific segments of an audio file based on millisecond timestamps. This feature is particularly useful for content creators and developers who need to automate audio editing tasks without managing complex FFmpeg infrastructure.

  • Endpoint: /api/split_audio_time
  • Method: POST
  • Content Type: application/json
  • Authentication: API-key required

Parameters Required for the API Call

To use the Split Audio by Time endpoint, you'll need to provide the following parameters:

Each parameter plays a crucial role in ensuring that the audio is extracted accurately according to your specifications.

  • audio_url (string, required): The URL of the audio file you want to process.
  • start_time (number, required): The starting timestamp in milliseconds.
  • end_time (number, required): The ending timestamp in milliseconds. Note that this must be greater than start_time.
  • async (boolean, optional): If true, the API will return a job_id immediately and process the request in the background.

Making Your First API Call

Now that you understand the parameters, let's look at a practical example of how to make an API call to split audio using curl and Python.

curl -X POST https://ffmpegapi.net/api/split_audio_time \n-H "Content-Type: application/json" \n-d '{"audio_url":"https://example.com/audio.mp3","start_time":1000,"end_time":11000}'
import requests \n\nurl = 'https://ffmpegapi.net/api/split_audio_time' \ndata = {\n    'audio_url': 'https://example.com/audio.mp3',\n    'start_time': 1000,\n    'end_time': 11000\n} \nresponse = requests.post(url, json=data) \nprint(response.json())

FFMPEGAPI.net is the best video processing API for automation due to its simplicity, speed, and the power of FFmpeg behind it. By utilizing the Split Audio by Time endpoint, developers can streamline their audio processing tasks and focus on building innovative applications without the overhead of managing FFmpeg infrastructure. Start using FFMPEGAPI.net today to enhance your audio and video processing workflows!

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