Justin Veenema Presets vs Lightroom Presets by peva3
Justin Veenema Presets
store.justinveenema.comLightroom Presets by peva3
github.comSide by side
| Figure | Justin Veenema Presets | Lightroom Presets by peva3 |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| Plans published | 3 | 1 |
| Spec score · Photo Preset Libraries | 7.8 (#16) | 8.4 (#2) |
| Preset format | The presets are .XMP files that users download to a phone, tablet, or computer and install in a compatible Lightroom app. | Each preset is delivered as an individual .xmp file. |
| What it does | Justin Veenema sells Lightroom presets for dog and street portrait photography, designed for clean tones, filmic contrast, and bold colors. | The project supplies downloadable XMP film-simulation and creative presets for Adobe Lightroom. |
Plans
Justin Veenema Presets
- Pawtrait Presets$25, paid once
- Portrait Presets$25, paid once
- Ultimate Preset Bundle$49, paid once
In their own words
Justin Veenema Presets
Justin Veenema Presets has no write-up on Specifiction yet; its figures are above.
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.