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HEAVYPAINT

HEAVYPAINT

HEAVYPOLY, Inc.

Graphics & Design免费v3.3.223
App Store
评分

4.1

58 条评分

星级

★★★★☆

最近更新

2026年4月1日

发布日期

2024年10月6日

更新内容

v3.3.223

UI Polish Improved Autosave

应用信息

开发者
HEAVYPOLY, Inc.
分类
Graphics & Design
价格
免费
版本
3.3.223
App ID
6654887306

简介

Raw digital painting with unique brushes & color chaos. The painter's painting app that celebrates digital chaos. HEAVYPAINT is unapologetically digital and a bit unhinged. It’s a celebration of digital impressionism. Whether you're sketching on the train, painting outdoors, or creating quick color studies, this is your pocket sized art studio. Unique Digital Tools Color Jitter: Unleash beautiful digital chaos and texture Fan Fill and Lasso Fill for super fast color blockins, textured foliage, notan, organic shapes. Rake tool for softening up edges in a graphic way Line Blend for instant gradients
Liquify to adjust proportions and shapes Built for Speed & Mobility Perfect pochade box replacement for pleinair painting. Great for quick paintings on public transit, many will finger paint on their phones. Streamlined interface.Focus on pure color and shape without digital clutter. Streamlined Experience Minimalist interface puts painting first Customizable tools that adapt to your style Strong shape design tools for bold, crisp artwork Gallery to review and organize your creations + Plein air painters who want to ditch heavy supplies + Quick color studies and concept sketches + Figure painting and gesture drawing + Artists wanting to rediscover digital painting joy + Anyone seeking a uniquely digital aesthetic HEAVYPAINT balances professional capabilities with unhinged creativity. Embrace procedural randomness / crunchiness / glitchiness that digital enables. Touch grass - Ideal for pleinair painting and quick studies This app is subject to Apple's standard EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

下载量预测

专业 · 预览

预估总下载量

4K3K8K
保守估计乐观估计

145

低 / 月

215

预估 / 月

414

高 / 月

基于58 条评分
假设评分率1.4%
应用年龄20 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。