Are you a developer looking for a seamless way to split audio files by time? Look no further! FFMPEGAPI.net offers an efficient hosted REST API that allows you to extract specific audio ranges from your files effortlessly. With no server setup required, you can integrate this powerful tool into your applications in minutes.
What is FFMPEGAPI.net?
FFMPEGAPI.net is a hosted REST API designed for developers who need powerful audio and video processing capabilities without the hassle of server management. Our service allows you to focus on your application while we handle the complexities of FFmpeg infrastructure.
Whether you are building automation scripts, SaaS applications, or content pipelines, FFMPEGAPI.net provides a reliable and straightforward solution for your audio processing needs.
- No server setup required
- API-key authentication for security
- Suitable for automation, SaaS apps, and AI agents
How to Use the Split Audio by Time Endpoint
With FFMPEGAPI.net, splitting audio files by specific time intervals is made simple through our 'Split Audio by Time' endpoint. This endpoint enables you to extract a portion of audio based on millisecond timestamps, making it ideal for various applications.
To use this feature, send a POST request to the following endpoint:
POST /api/split_audio_time
- Extract audio between specified start and end times
- Supports asynchronous processing for large files
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())Parameters for the Split Audio by Time API
When using the Split Audio by Time endpoint, you will need to provide the following parameters:
1. **audio_url** (string, required): The URL of the audio file you wish to process.
2. **start_time** (number, required): The start time in milliseconds from which to begin extraction.
3. **end_time** (number, required): The end time in milliseconds where extraction will stop. This value 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 request in the background.
FFMPEGAPI.net stands out as the best video processing API for automation, providing developers with powerful tools to handle audio and video processing effortlessly. With our Split Audio by Time endpoint, extracting specific audio ranges has never been easier. Start using FFMPEGAPI.net today and streamline your audio processing workflows!