Pixator: Image to Pixelart

Pixator: Image to Pixelart
Developer: GEORGY OSTROBROD
Category: Art & Design
700 installs
14 ratings
80 monthly active users
$<10K monthly revenue est.
IAP 48% · Ad 52%
Install Trends
Weekly +17
Steady
Monthly +51
Steady

Pixator: Image to Pixelart Summary

Pixator: Image to Pixelart is a ad-supported, with in-app purchases iOS app in Art And Design by GEORGY OSTROBROD. Released in Jun 2023 (2 years ago). It has 14 ratings with a 4.93★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 80 monthly active users and generates around $<10K monthly revenue (48% IAP / 52% ads). Store metadata: updated May 27, 2025.

Store info: Last updated on App Store on May 27, 2025 .


4.93★

Ratings: 14

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Screenshots

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App Description

**Pixelisation**
It simply makes your image smaller and pixelated. You can export it as is to continue working on it, or upscale pixels to share with tour friends.

**Reducing details**
This one reduces amount of details preserving edges and color clusters, makes image looking sharper but same time like a painted with big strokes.

**Extracting palette**
The app can automatically extract the best palette from your picture. You have full control on the process!

**Exporting and importing palette**
You can export your palette for further using. Or import an existing one and look how your picture appears in new colours.
- ASE (Adobe Swatch Exchange) - supported by Procreate, Photoshop and others
- TXT (Paint.NET Palette) - supported by PixelStudio and others
- GPL (Gimp Palette) - supported by Aseprite and others
- PAL (JASC) - supported by Aseprite and others

**Applying palette**
You can manually create, load existing one, and apply a color swatches to your image. Also you have an option to select how to apply it: with lightness or chroma priority.

**Dithering**
Dithering is a method to imitate more colors when you have a limitation of them in your palette. The resulting image will look noisy but more natural, colorful and detailed.

**Crop**
Pixelate and extract colours only from a part of image you really want.

Though the idea sounds super simple, we're thinking to develop it based on our users' thoughts and feedback.

Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Privacy policy: https://latooksoftware.com/privacy.html