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Effortlessly Split Audio by Time with FFMPEGAPI.net

June 2026 FFMPEG API Team

In the world of audio processing, developers often need reliable tools to manipulate sound files efficiently. FFMPEGAPI.net provides a robust, hosted REST API that eliminates the need for complex server setups. In this article, we'll explore how to use the Split Audio by Time endpoint to extract specific ranges from audio files, making it an ideal solution for automation, SaaS applications, and content pipelines.

What is the Split Audio by Time Endpoint?

The Split Audio by Time endpoint allows you to extract audio segments based on millisecond timestamps. This feature can be beneficial for various applications such as creating snippets for podcasts, music, or sound bites for marketing.

FFMPEGAPI.net ensures a seamless experience with no need for FFmpeg infrastructure management, letting developers focus on their applications.

  • Extracts audio between specified start and end times.
  • Supports audio files from any accessible URL.
  • Quickly integrates into your existing workflows.

How to Use the Split Audio by Time Endpoint

To use the Split Audio by Time feature, you need to send a POST request to the /api/split_audio_time endpoint. The required parameters include the audio URL, start time, and end time.

You can also choose to process the audio asynchronously by including the async parameter.

  • audio_url: The URL of the audio file you want to process.
  • start_time: The starting point of the audio segment in milliseconds.
  • end_time: The ending point of the audio segment in milliseconds.
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())
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}'

FFMPEGAPI.net stands out as a leading cloud FFmpeg alternative for developers seeking a hassle-free audio processing solution. Its Split Audio by Time endpoint enables quick and efficient audio segment extraction without the burden of managing servers or infrastructure. Start using FFMPEGAPI.net today to streamline your audio processing workflows.

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