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Kindred Presets vs Lightroom Presets by peva3

Kindred Presets

kindredpresets.com

Lightroom Presets by peva3

github.com

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FigureKindred PresetsLightroom Presets by peva3
Price from—Free
Free plan—Yes
Free trial——
Open source—Yes
WindowsYesYes
macOSYesYes
iOSYes—
AndroidYes—
Plans published51
Spec score · Photo Preset Libraries7.8 (#17)8.4 (#2)
CompatibilityThe preset package is compatible with Adobe Lightroom Classic version 7 or higher, Lightroom CC, and ACR.The README says the presets are ready for Lightroom Classic and Lightroom CC.
Editing guidanceThe maker says its presets perform best on RAW photos, though JPG photos can be used with adjustments.The README advises adjusting white balance and exposure after applying a preset because the files are starting points.

Plans

Kindred Presets

  • Kindred Mobile Selfie Series$39, paid once
  • Kindred Mobile Light Series$69, paid once
  • Kindred Technical$99, paid once
  • Kindred Essential$175, paid once
  • Kindred Preset Package$299, paid once

Kindred Presets pricing →

Lightroom Presets by peva3

  • FreeFree

Lightroom Presets by peva3 pricing →

In their own words

Kindred Presets

Kindred Presets has no write-up on Specifiction yet; its figures are above.

Visit kindredpresets.com

Lightroom Presets by peva3

Lightroom Presets by peva3 is a free set of XMP presets for Lightroom Classic and Lightroom CC, available as a ZIP download. Its 445 presets are grouped into 13 categories, including film-inspired looks such as Kodak Portra, Fujifilm Classic Chrome, Cinestill 800T and Ilford HP5, plus creative styles and alternative processes. The project is presented as an open-source alternative to commercial preset packs. The XMP files can be inspected, modified and shared, and the repository lists the project under the MIT license. Presets are intended for macOS and Windows. Installation instructions give Develop Presets folder paths for both systems and advise restarting Lightroom after copying the files. The README recommends adjusting white balance and exposure after applying a preset; its grain settings were tuned for 24MP images. The project also invites questions and contributions through an issue or discussion.

Visit github.com