I want to remove an object from a photograph based on the surrounding patterns. In photoshop I could use the Content Aware Fill Tool, but there doesn't seem to be any built-in alternatives for Gimp on Windows.

Every guide I've found on this subject recommends the Resynthesizer plugin, but the description says it is only available for Linux. (The plugin also doesn't seem to have been updated for a few years)

Is there a tool similar to Photoshop's content aware fill tool I can use with GIMP for Windows?

Content aware fill

  • That's a special feature in Photoshop that I haven't heard is offered in other programs. This seems like a purely software question so it's not really in the right place, although its purely graphic design software, so i don't know.
    – Webster
    Commented Aug 30, 2017 at 0:09
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    @webster AFAIK the resynthesize plugin appeared on Gimp before its PS equivalent.
    – xenoid
    Commented Aug 30, 2017 at 6:27
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    Just a note to the OP - the GIMP Registry site is somewhat outdated and you seem to have found an older page, but the Windows version is available for download: registry.gimp.org/node/27986 - not the page you linked to. This is the same link provided by @xenoid
    – Billy Kerr
    Commented Aug 30, 2017 at 9:42
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    See graphicdesign.stackexchange.com/a/20893/12941
    – Takkat
    Commented Sep 1, 2017 at 16:44

1 Answer 1


Yes, there is a "resynthesize" plugin. It is available from the Gimp registry (possibly here). But the best way to install it are:

  • on Linux (at least for Ubuntu and derivatives), install package gimp-plugin-registry (it is included in a set of rather useful plugins).
  • On Windows and OSX, the Gimp builds available on http://www.partha.com include it.

Patdavid has an excellent tutorial on the subject.

  • 2
    I can confirm the GIMP Registry link for Resynthesizer and the associated Python plugins including "Heal Selection" etc, definitely work in Windows. And you are right - GIMP had these way before Photoshop.
    – Billy Kerr
    Commented Aug 30, 2017 at 8:00

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