We use the U2-Net deep learning algorithm to remove the background from images.
GET /rembg Http Request : /rembg?url=https://images.pexels.com/photos/1697220/pexels-photo-1697220.jpeg
POST /rembg /rembg?url=https://images.pexels.com/photos/1697220/pexels-photo-1697220.jpeg
POST /rembg_file
const data = new FormData();
data.append('file', 'name.jpg');
const xhr = new XMLHttpRequest();
xhr.withCredentials = true;
xhr.addEventListener('readystatechange', function () {
if (this.readyState === this.DONE) {
console.log(this.responseText);
}
});
xhr.open('POST', 'https://remove-background-of-any-image-object.p.rapidapi.com/rembg_file');
xhr.setRequestHeader('X-RapidAPI-Key', '3de5bebbe3mshd3a0b5ff25ac46apxxxxxxxxxxx');
xhr.setRequestHeader('X-RapidAPI-Host', 'remove-background-of-any-image-object.p.rapidapi.com');
xhr.send(data);
This API uses Powerful Background Removal Algorithm (U2-Net^2) for efficient background removal.
For security and production use, consider implementing authentication and authorization mechanisms.
Handle errors gracefully and provide meaningful error responses.
Ensure that the input image URL is publicly accessible.
Feel free to contribute, report issues, or suggest improvements!