Production-ready background remover for designers, setting a new standard for background removal. Obtain transparent PNGs with clean edges on letters, logos, and intricate cutouts.
Available on all plans and via the API.New approach
Most background removers are segmentation models that classify pixels as foreground or background without a deep semantic understanding of the image. The main challenge in background removal lies at the borders, where pixels naturally blend the foreground and background, and the correct output is a partial transparency paired with the foreground color underneath. This is the matting problem, and segmentation models are not built to solve it. The translucent edge of a glass carries the color of the wall behind it, hair scatters light into a soft halo, and an anti-aliased typographic stroke is by design indistinguishable from its surrounding. The failures show up in the alpha channel as halos, fringing, and residual color from the discarded background.
Ideogram approaches the problem differently. The background remover is a generative model trained from the ground up, which carries a deep semantic understanding of the scene it depicts. Because the model already knows what a bottle, a strand of hair, or a typographic stroke looks like, it can reconstruct each border pixel as a partial transparency paired with the foreground color it should carry. Transparency is preserved through glass and other refractive surfaces, fine detail survives unaltered, and the output is a transparent PNG with no halos, no residual color, and no need for cleanup in Photoshop.
Comparison with the state-of-the-art
Same input run through Ideogram and the leading commercial and open-source background removers. Look at the typography stroke, the negative space, and the soft edges. The difference is in the alpha channel.
API
POST an image to /v1/remove-background and receive a signed URL to the transparent
PNG. The endpoint is built for teams running volume across product launches, marketplace listings,
and catalog refreshes that need consistency over thousands of images. The cutout quality is
the same on the first request and the ten-thousandth. Pricing is per image, with volume tiers
for enterprise teams.
import requests with open("input.jpg", "rb") as f: r = requests.post( "https://api.ideogram.ai/v1/remove-background", headers={"Api-Key": "YOUR_API_KEY"}, files={"image": f}, ) # Signed URL is short-lived; download to keep. url = r.json()["data"][0]["url"] open("cutout.png", "wb").write(requests.get(url).content)
Questions
Glass, refraction, fine edges. Transparent PNG, no manual cleanup.