تصویر سے رنگ نکالیں
نیاٹرینڈنگ 🔥کسی بھی تصویر سے غالب رنگ پیلیٹ حاصل کریں
تصویر سے رنگ نکالیں کو کیسے استعمال کریں
- 1اپنی تصویر اپلوڈ کریں
- 2ٹول خودکار طور پر تجزیہ کرکے غالب رنگ پیلیٹ دکھاتا ہے
- 3کسی بھی رنگ سوچ پر کلک کرکے اس کا hex کوڈ کاپی کریں
- 4Click a swatch to copy its hex code
- 5Use Copy All to copy the entire palette
تصویر سے رنگ نکالیں کے بارے میں
Analyze any image and extract its dominant colors as a palette. Copy hex codes instantly for use in design projects, branding or development.
تصویر سے رنگ نکالیں کی اہم خصوصیات
- 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
معاون فارمیٹس
ان پٹ فارمیٹس
آؤٹ پٹ فارمیٹس
Animated GIFs use only the first frame for color extraction.
مثالیں
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.
ان پٹ
Company logo PNG
آؤٹ پٹ
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.
ان پٹ
Website hero photography
آؤٹ پٹ
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.
ان پٹ
Screenshot of a competitor's website
آؤٹ پٹ
Hex codes of their brand palette
عام استعمال کے معاملات
- 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
مسئلہ حل کرنا
Extracted colors look wrong or unexpected
حل
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
حل
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
حل
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.
اکثر پوچھے جانے والے سوالات
کتنے رنگ نکالے جاتے ہیں؟
بطور ڈیفالٹ زیادہ سے زیادہ 10 غالب رنگ دکھائے جاتے ہیں۔
کیا اسے برانڈ رنگ ملانے کے لیے استعمال کیا جا سکتا ہے؟
ہاں۔ لوگو یا تصویر کے اہم رنگوں کی شناخت کے لیے بہترین ہے۔
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.