Build remove.bg

YESreplaces $9/mosaves $108/yrback to the verdict

0%0 of 15 items done

Saved on this device only. Tick prerequisites first, then work the phases in order · do not start one until the checks above it pass.

Background removal on your own machine: rembg behind a CLI and a localhost page with drag-and-drop, batch processing, background replacement and export at full resolution. Nothing is uploaded anywhere.

estimated effort one sittingthe files for this build are in the project pack

Enginerembg with onnxruntimeRuntimePython 3.11+, a stdlib or FastAPI server on localhostUIVanilla HTML and JS

Before step 1

Everything below is assumed from the first step. Tick each one when you actually have it, not when you plan to.

installfree
Why Every step below is a command you type or a file you edit.
Get it VS Code (code.visualstudio.com), Cursor or Zed. Open a folder for the project and use the editor's built-in terminal. open ↗
Verify You can open a folder and run a command in its terminal
installfree
Why History for your code, and the way most hosts deploy.
Get it Install from git-scm.com or with your package manager, then run git init in the project folder once it exists. open ↗
Verify git --version prints a version
installfree
Why rembg is a Python package.
Get it python.org or your package manager; use a virtual environment. open ↗
Verify python3 --version prints 3.11 or higher
installfree, a few GB of disk
Why The whole engine. Models download on first use (hundreds of MB).
Get it python3 -m venv .venv && source .venv/bin/activate && pip install 'rembg[cli]' onnxruntime open ↗
Verify rembg --help prints usage
have readyfree
Why Each phase is judged on real results.
Get it Three photos.

Environment variables

These go in a .env file the app reads at startup. The pack's .env.example is this table as a file · copy it, never commit the filled-in version.

Variable	Needed	Example	Where the value comes from
`PORT`	required	`8000`	Localhost port for the page.
`REMBG_MODEL`	optional	`isnet-general-use`	Default model; birefnet for hair, u2net for speed.
`MODEL_DIR`	optional	`~/.u2net`	Where rembg stores downloaded models.

The build, in order

1
The CLI
cut in.jpg out.png with model and alpha-matting flags.
1. terminal
  python3 -m venv .venv && source .venv/bin/activate pip install 'rembg[cli]' onnxruntime pillow
done when · tick each as it passes
next phase
2
Batch
A folder in, a folder out, resumable.
done when · tick each as it passes
next phase
3
The page
Drop, paste, pick; before/after; only localhost in the network tab.
done when · tick each as it passes
next phase
4
Backgrounds and export
Replace with color, gradient or image; export at full size; copy.
done when · tick each as it passes
next phase
5
Package
One-line install and model sizes stated.
2. Files README.md
done when · tick each as it passes
next phase
6
Run it for a teamproduct builder
A shared instance on your network with a GPU if you have one.
done when · tick each as it passes

what this build does not replace

Their edge quality on hair and glass.
Plugins, API scale, GPU batch processing.
edge quality on hair, fur and glass
the Photoshop and Figma plugins
the API at scale
GPU speed for batches

after v1, if you want it

A Photoshop-style refine-edge brush
A watch-folder mode

Need the files? The project pack on the verdict page hands your agent the whole brief · more photo editing.