How to Split Audio by Time Using FFMPEGAPI.net

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 millisecond timestamps. This feature is particularly useful for applications that require audio editing or segmentation.

With this API, you can simply send a POST request to the endpoint, providing the audio URL along with the desired start and end times for the segment you want to extract.

Parameters for the Split Audio by Time API

To make a successful request to the Split Audio by Time endpoint, you need to provide several parameters. Here’s a breakdown of the required and optional parameters:

1. **audio_url** (string, required): The URL of the audio file you wish to process.

2. **start_time** (number, required): The start time of the segment you want to extract, in milliseconds.

3. **end_time** (number, required): The end time of the segment you want to extract, in milliseconds. It must be greater than the start_time.

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

Making a Request to the API

Here’s how you can make a request to the Split Audio by Time endpoint using cURL and Python. Using FFMPEGAPI.net is straightforward, and these examples illustrate its simplicity:

In your application, you can choose either method depending on your preferred programming environment.

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())