From any snapshot to a government-spec photo — in four AI steps you can watch.

Most passport-photo tools hand you a black box. We don't. Every photo runs the same four-step pipeline — remove the background, crop to spec, and finish with an identity-locked AI enhance — and below you can see each step on real, diverse faces.

The four steps, on real faces

Follow each row left to right: the original photo, the background replaced with clean white, the passport crop, and the final AI-enhanced result. Same person, every time.

1
Original
The raw photo you upload — any background, any framing.
2
Background removed
Our matting models cut the subject onto clean white, hair intact.
3
Cropped
Auto-framed to the passport aspect with the right head size and position.
4
AI enhanced
Identity-locked AI evens the lighting and finishes a compliant photo.

Woman with short black hair at a podium in front of a colorful banner — Original

Woman with short black hair at a podium in front of a colorful banner — Background removed

Woman with short black hair at a podium in front of a colorful banner — Cropped

Woman with short black hair at a podium in front of a colorful banner — AI enhanced

1. Original

2. Background removed

3. Cropped

4. AI enhanced

Young man with short hair photographed on a city street — Original

Young man with short hair photographed on a city street — Background removed

Young man with short hair photographed on a city street — Cropped

Young man with short hair photographed on a city street — AI enhanced

1. Original

2. Background removed

3. Cropped

4. AI enhanced

Compare a cutout up close

Drag the slider to compare an original against the auto-replaced white background. Each cutout is produced by our RVM-based AI background-removal pipeline.

Woman with short black hair at a podium in front of a colorful banner

OriginalCutout

Young man with short hair photographed on a city street

OriginalCutout

How we pick the model

We run an open bake-off across general-purpose matting and segmentation models — including RVM, MODNet, BiRefNet, and SAM2 — measuring edge quality on hair, glasses, and skin tones from light to dark. No single model wins everywhere, so we test on a deliberately diverse set of faces and ship the best all-round fit. The result is a clean white background with the wisps of hair intact, not a cardboard cutout.

Models evaluated include open, non-proprietary options such as RVM, MODNet, BiRefNet, and SAM2.

Tested across people, not just photos

A cutout that looks great on one face can fail badly on another. We intentionally evaluate across gender, age, skin tone, and hair type — bald, short, curly, coily, and long — so the background removal you get works for you, whoever you are.

See it on your own photo

Upload any photo and we'll auto-crop, replace the background, and validate it against government specs — you only pay when it passes.

Make my photo See pricing

Image credits

The demonstration portraits below are public-domain or CC0 images from Wikimedia Commons, used here only to illustrate background removal. Each links to its source and license.

Woman with short black hair at a podium in front of a colorful banner — Source: Wikimedia Commons ↗ · License: Public domain · U.S. Department of Housing and Urban Development
Man with short hair and a goatee in a tight frontal headshot — Source: Wikimedia Commons ↗ · License: Public domain · USDAgov
Young man with short hair photographed on a city street — Source: Wikimedia Commons ↗ · License: CC0 · Ahsan Mahim Ʒaaz
Woman with curly dark hair in a frontal headshot — Source: Wikimedia Commons ↗ · License: Public domain · U.S. Department of Agriculture