Keyper uses Machine Learning to extract people from their backgrounds without requiring greenscreen or prepared backdrops.

Keyper is not a replacement for traditional green screen used in special effects shots, rather it allows the user to apply filters and effects separately to the people or the backgrounds to create unique and engaging effects.

What’s new in Keyper 2.1?

Users on macOS 14 Sonoma have the ability to select between Person and Subject detectors. Person works just like in previous versions of Keyper. The Subject detector will identify human and non-human subjects and can sometimes do a better job of selecting people. Keyper 2.1 is a free update to existing customers and continues to work on earlier versions of macOS (except for the Subject detector).

What’s new in Keyper 2?

New pre-processing tools allow you alter the image prior to the recognition process. These include brightness, saturation, contrast, sharpness, and the ability to load a LUT. These alterations are keyframeable as what may help in one frame may make recognition poorer in another. All of these adjustments do not alter the image that is output. Also added are new matte processing capabilities, these include:

• Full: Full matte (same as Keyper 1.0)
• Outline: Traces a line around the outside of the matte, controlled by Width and Edge.
• Inline: Traces a line around the inside of matte, controlled by Width and Edge.
• Core: Subtracts Inline from the matte to retain the Core, controlled by Width and Edge.
• Combo: Combines Core and Inline. Useful for filling holes in the matte

As well as the initial Keyper output offerings of Composite, Matte, and Matte over Background, Keyper 2.0 adds Colored Matte - a colored matte with Alpha.

Finally, Keyper 2.0 adds Patch which you can use to patch a hole in your matte, or to block out something or someone you don’t want to be included, or you can use it to only include the person covered by the patch.