JPG with white background
Client exports from Canva, sends a JPG, now there's a white rectangle around their mark. Drop it in, get the logo on transparent. Holds up on serifs and tight letter spacing.
A JPG with a white background, a screenshot with the logo embedded, a scan from a printed brand book. Drop it in, get a transparent PNG. Holds up on thin strokes, tight kerning, and small marks.
Inkurs removes the background from any raster logo file and returns a transparent PNG with a proper alpha channel. Works on JPGs, PNGs with solid-color fills, screenshots, scanned brand books, and logos embedded in PDFs. Built to preserve fine type and thin strokes.
Every designer running client work has had this conversation. 'Can you send me the logo?' [JPG attached.] Inkurs is the fastest path from that JPG to something usable.
Client exports from Canva, sends a JPG, now there's a white rectangle around their mark. Drop it in, get the logo on transparent. Holds up on serifs and tight letter spacing.
Placed against solid red, blue, or brand color in a marketing PDF. Inkurs treats any uniform fill as background.
Logo in a header, you snipped a screenshot. Inkurs isolates just the logo, removes UI chrome.
Scanned page of a brand manual. Paper texture, slight cream tint. Inkurs reads paper as background.
Inkurs returns a raster PNG. It does not reconstruct a vector file from a JPG. For most working uses a high-resolution PNG is enough; for print at scale, ask the client for the vector source.
Hairline strokes in serif logos don't get sanded down. Segmentation runs at higher resolution to hold sub-pixel detail.
Wordmarks with closed counters (Os, As, Bs) keep negative space. Model doesn't collapse letter interiors.
Alpha channel preserves soft anti-aliasing around glyphs. Edges look smooth on any background.
Trademark, registered, copyright symbols survive. So do dots, tittles, and accents.