How to Split Audio by Time with FFMPEGAPI.net

Understanding the Split Audio by Time Endpoint

The Split Audio by Time endpoint of FFMPEGAPI.net enables you to extract a specific portion of audio from a longer track based on millisecond timestamps. This can be particularly useful in various applications, such as creating sound bites for multimedia projects or trimming audio for podcasts.

Parameters Required for the API Call

To utilize the Split Audio by Time feature, you need to provide several parameters. Here's a breakdown of what you need:

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

2. start_time: The millisecond timestamp where the audio extraction should start.

3. end_time: The millisecond timestamp where the audio extraction should end. Note that this must be greater than the start_time.

4. async (optional): If set to true, the API will return a job_id immediately and process the audio in the background.

Making Your First API Call

Using FFMPEGAPI.net to split audio is straightforward. Below is an example of how to make a successful API call using cURL or Python.

In this example, we will extract a section of audio from an example URL, starting at 1000 milliseconds and ending at 11000 milliseconds.

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

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