Lightweight App Binaries
Eliminate 100MB+ ML models from your bundle. A simple REST call handles the heavy lifting, keeping your app under the 200MB cellular download limit for faster installs.
Use Case
Background Removal API for Mobile Apps
Give your mobile users professional image editing tools directly in your app. FAPIhub's REST API is designed for mobile developers who need fast, cloud-based background removal without bloating their app binary with heavy ML models.
The Challenge Mobile Developers Face
Running AI models like background removal on-device sounds ideal, but it comes with a massive cost. Shipping heavy ML models (CoreML or TensorFlow Lite) can add 100MB+ to your app's download size, leading to lower install rates and storage complaints from users.
Even if you accept the binary size, on-device processing is battery-intensive and inconsistent. Older or mid-range devices might take 10–20 seconds to process a single image, causing the phone to heat up and the UI to freeze. Users expect 'instant' results that are consistent regardless of their hardware.
A cloud-based API solves both problems. Your app stays lightweight, and processing happens on high-performance GPU servers. You get consistent, high-quality results in under 5 seconds, even on a $100 budget smartphone.
How FAPIhub Solves It
Save User Battery Life
Offload complex AI computations to our GPU cloud. Your app stays responsive and doesn't drain the user's battery or cause thermal throttling during batch edits.
One API, All Platforms
Write your integration once and use it across iOS, Android, Flutter, and React Native. No need to maintain separate on-device ML implementations for different platforms.
Integrate in Minutes
This React Native (JavaScript) example shows how to upload a photo from the device library to the API and receive a transparent PNG.
async function removeBackground(imageUri) {
const formData = new FormData();
formData.append('image', {
uri: imageUri,
name: 'photo.jpg',
type: 'image/jpeg',
});
try {
const response = await fetch('https://fapihub.com/v2/rembg/', {
method: 'POST',
headers: {
'token': 'YOUR_API_KEY',
},
body: formData,
});
if (response.ok) {
const blob = await response.blob();
// Use the blob to display or save the image
return URL.createObjectURL(blob);
}
} catch (error) {
console.error('API Error:', error);
}
}Frequently Asked Questions
How does FAPIhub help with app binary size?
By using our cloud API, you avoid bundling heavy machine learning models (like CoreML or TFLite) which can be 100MB+. This keeps your app lightweight and below the cellular download limits of the App Store and Play Store.
Is the API fast enough for a mobile user experience?
Yes. FAPIhub processes images on dedicated GPU hardware. Most requests complete in under 5 seconds, which is often faster than on-device processing on mid-range smartphones.
Do you support React Native and Flutter?
Yes. Since FAPIhub is a standard REST API, it works with any mobile framework that supports HTTP requests. We recommend using standard multipart/form-data for image uploads.
Can I process images in the background?
Yes. You can initiate the API call and use local notifications or UI spinners to inform the user when the processed transparent PNG is ready to be displayed or saved to their gallery.
Is there a limit on concurrent requests?
Standard plans have high concurrency limits, and enterprise plans offer dedicated scaling. This ensures your app remains responsive even during viral growth or high-traffic periods.