Hama
Free online AI-powered tool for removing unwanted objects from photos.
Overview
Hama
Description of the Hama neural network
Hama is a free online AI-powered tool designed to remove unwanted objects from photos. The service works simply: the user uploads an image and selects the area with the unwanted element, after which the neural network automatically restores the freed-up space by analyzing the surrounding background.
When restoring the background, the algorithm takes into account the textures, lighting, and perspective of the image, which allows achieving a natural result. The service requires no registration or special skills in graphic editors, supports JPG, PNG, and WebP images with resolution up to 4K, and works directly in the browser. This makes Hama a convenient and fast alternative to complex professional editors for typical photo cleanup tasks.
Hama characteristics
| Characteristic | Value |
|---|---|
| Category | Image editing, object removal, photo enhancement |
| Business model | Free |
| Image formats | JPG, PNG, WebP |
| Maximum resolution | Up to 4K |
| Platform | Web app (browser), mobile app, browser extension |
| Registration | Not required |
| API | Available |
| Interface language | Russian |
| Catalog publication date | 07-03-2023 |
Who is the Hama neural network suitable for?
Bloggers and marketers
These users often need to quickly prepare visual content for social media, presentations, and publications. Hama allows them to remove unnecessary details from photos without having to learn complex professional editors, saving time on routine tasks.
Photographers and designers
Professionals use Hama to quickly clean shots from random passers-by, litter, and other unwanted elements. The tool helps speed up routine operations and frees up time for more creative tasks, and the service is easy to access.
Regular users
The tool is suitable for anyone who wants to easily and without special skills remove unnecessary objects from their photos — whether for a personal archive or for publication on the internet. The simple interface is understandable even for beginners.
How to use the Hama neural network?
Uploading an image
Start by uploading a photo — you can do this in two ways: drag the file into
