Görüntüden Renk Çıkar

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Herhangi bir görüntüden baskın renk paletini alın

Görsel Araçları

Görüntüden Renk Çıkar Nasıl Kullanılır

  1. 1Görselinizi yükleyin
  2. 2Araç otomatik olarak analiz eder ve baskın renk paletini gösterir
  3. 3Hex kodunu kopyalamak için herhangi bir renk örneğine tıklayın
  4. 4Click a swatch to copy its hex code
  5. 5Use Copy All to copy the entire palette

Görüntüden Renk Çıkar Hakkında

Analyze any image and extract its dominant colors as a palette. Copy hex codes instantly for use in design projects, branding or development.

Görüntüden Renk Çıkar Temel Özellikleri

  • K-means clustering algorithm for perceptually accurate dominant colors
  • Adjustable color count from 2 to 16 palette entries
  • Visual color swatches displayed alongside hex and RGB values
  • Click any swatch to copy its hex code to clipboard
  • Copy All button to export the full palette as hex codes
  • Works on photographs, illustrations, logos, and any image type
  • Fast — image is downsampled before analysis for speed
  • Completely browser-based — no image data leaves your device

Desteklenen Formatlar

Giriş Formatları

PNGJPGWEBPGIFBMP

Çıkış Formatları

Hex color codesRGB valuesVisual swatches

Animated GIFs use only the first frame for color extraction.

Örnekler

Extract brand colors from a logo

Set color count to 4-6 to capture the main palette from a logo without too many similar shades.

Giriş

Company logo PNG

Çıkış

5 dominant brand colors with hex codes

Build a UI palette from a hero photo

Extract 8 colors from the hero image to build a cohesive UI color palette that matches the photography.

Giriş

Website hero photography

Çıkış

8 complementary colors for design system

Analyze competitor brand colors

Upload a screenshot of a competitor page to quickly identify the exact hex codes they use.

Giriş

Screenshot of a competitor's website

Çıkış

Hex codes of their brand palette

Yaygın Kullanım Senaryoları

  • Extracting brand colors from a logo to use in design systems
  • Building a UI color palette inspired by a hero photograph
  • Analyzing competitor brand colors from screenshots
  • Finding complementary accent colors for a design project
  • Creating a cohesive color scheme that matches product photos
  • Reverse-engineering the color palette of an image for rebranding work

Sorun Giderme

Extracted colors look wrong or unexpected

Çözüm

Increase the color count to capture more nuance from the image. With a low count, k-means merges similar hues into one cluster and may miss important accent colors.

Similar colors are grouped together

Çözüm

This is expected behavior — k-means merges visually similar pixels. To separate closely related hues, increase the color count and re-extract.

Very light or very dark colors are missing

Çözüm

Use a higher color count. Near-white backgrounds and near-black shadows are valid clusters but may be merged with other clusters at a low count setting.

Sıkça Sorulan Sorular

Kaç renk çıkarılır?

Varsayılan olarak en fazla 10 baskın renk gösterilir.

Bunu marka rengi eşleştirme için kullanabilir miyim?

Evet. Bir logodaki veya fotoğraftaki ana renkleri belirlemek için harikadır.

How accurate is the color extraction?

K-means clustering is perceptually accurate for dominant colors. Results represent the most visually significant colors, not a simple pixel count.

Why do results vary between runs?

K-means uses random initialization. For consistent results, run extraction a few times and compare — the dominant colors will be similar across runs.

Can I copy the full palette at once?

Yes. The Copy All button copies all hex codes as a comma-separated list, which you can paste directly into design tools or CSS variables.

What is the difference between hex and RGB values?

Hex codes (e.g. #3A7BD5) are a compact format used in HTML and CSS. RGB values (e.g. rgb(58, 123, 213)) are the same color expressed as three channels. Both are shown for each swatch.

How accurate is the color extraction?

K-means clustering is perceptually accurate for dominant colors. Results represent the most visually significant colors, not a simple pixel count.

Why do results vary between runs?

K-means uses random initialization. For consistent results, run extraction a few times and compare — the dominant colors will be similar across runs.