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Image Tint Applier

Apply a uniform colour tint to any image - choose from 10 curated presets or pick your own colour. Adjust intensity and blend mode, preview the result side by side, and download as PNG, JPG, or WebP. Fully client-side, your images never leave your device. Free, no signup required.

Image Tint Applier

Apply a uniform colour tint to any image. Choose a target colour, adjust intensity and blend mode, and download your tinted result. Fully client-side - your images never leave your device.

#704214

0% = original image, 100% = full tint colour.

Tint #704214, normal blend, intensity 60% - PNG output.

Feature-Rich Tinting Engine

Everything you need to apply the perfect colour tint to any image.

Uniform Tint Application
Apply a consistent colour tint across the entire image using an intelligent blend that preserves image detail and transparency.
10 Quick Presets
Choose from carefully curated tint presets - Warm Sepia, Cool Blue, Forest Green, Rose Pink, and more - for instant results.
Advanced Blend Modes
Five blend modes (Normal, Multiply, Screen, Overlay, Soft Light) give you precise control over how the tint interacts with the original image.
Multi-Format Export
Download your tinted image as PNG (with transparency preserved), JPEG, or WebP. Adjustable quality for JPG and WebP output.

Common Use Cases

From brand consistency to creative effects - colour tinting serves many purposes.

Brand Consistency

Apply your brand colour as a tint to stock photography and imagery to maintain a cohesive visual identity across your website and marketing materials.

Social Media Content

Create visually cohesive social media posts by applying a consistent colour treatment to all your images, building a recognizable feed aesthetic.

UI Mockups & Prototypes

Tint screenshots or design mockups to quickly explore colour variations and mood boards during the design exploration phase.

E-commerce Photography

Apply subtle colour casts to product photos to match seasonal promotions, holiday themes, or category-specific colour schemes.

Photo Mood Filtering

Give your personal photos a cinematic or artistic feel with a single tint - warm for nostalgia, cool for a modern aesthetic.

Dark Mode Adaptation

Tint bright images to be more suitable for dark mode UIs by applying a darker, muted colour overlay that reduces visual strain.

About Image Tinting

Understand how colour tinting works and how to get the best results.

What Is Image Tinting?

Image tinting applies a uniform colour overlay to every pixel of an image, blending the original colours with a target tint colour. Unlike a solid colour overlay, tinting preserves the underlying detail and luminance of the original image while shifting its overall hue.

How Blend Modes Work

Each blend mode calculates how the tint colour and original pixel colour combine. Normal mode directly interpolates between the two. Multiply darkens the image, Screen lightens it, Overlay increases contrast, and Soft Light produces a gentler version of Overlay. Experiment with each to find the perfect look for your image.

Choosing the Right Tint Colour

Warm tints (sepia, amber, gold) create a nostalgic or inviting feel. Cool tints (blue, teal, lavender) convey calmness or professionalism. Green tints suggest nature and sustainability. Red and pink tints add energy and passion. Consider the emotional response you want to evoke when selecting your tint colour.

100% Client-Side Processing

All image tinting is performed entirely in your browser using the Canvas API. Your original image is never uploaded to any server - it never leaves your device. This ensures complete privacy, even for sensitive or confidential imagery.

Frequently Asked Questions

Everything you need to know about the Image Tint Applier.

What is the difference between a tint and a colour overlay?

A colour overlay replaces the entire image with a solid colour at a set opacity. A tint, on the other hand, blends the tint colour with each pixel based on the original pixel values - preserving detail, contrast, and luminance. The result looks like the image has been bathed in coloured light, not covered by a transparent film.

Does the tool preserve transparency in PNG images?

Yes. The alpha channel of your original image is preserved exactly. Transparent areas remain transparent, semi-transparent pixels keep their original opacity, and only the RGB colour values are affected by the tint. This is especially useful for tinting logos, icons, and UI elements with transparent backgrounds.

Which blend mode should I use for a natural look?

For the most natural-looking tint, start with the Normal blend mode at 30-50% intensity. This gently shifts the colours without overpowering the original image. If you want a more dramatic effect, try Overlay or Soft Light, which preserve more contrast while applying the tint colour.

Can I use this for batch processing multiple images?

Currently, this tool processes one image at a time. For batch processing, we recommend applying the same tint settings (colour, intensity, blend mode) to each image individually, which ensures consistent results across your entire set.

What image formats are supported?

You can upload PNG, JPEG, WebP, GIF, BMP, and TIFF images. Output formats include PNG (lossless, preserves transparency), JPEG (smaller file size, no transparency), and WebP (modern format with good compression and optional transparency).

Why does my image look different in JPEG vs PNG output?

JPEG uses lossy compression, which can introduce slight artifacts and colour shifts, especially at lower quality settings. JPEG also does not support transparency - any transparent areas will be filled with white. PNG is lossless and preserves transparency, but results in larger file sizes.

How is the tint calculation different from a CSS filter?

The CSS filter property applies effects at the browser rendering level and has limited colour manipulation options. Our tool processes each pixel individually using the Canvas API, giving us precise control over the tint algorithm, blend modes, and intensity. This means more accurate and predictable results.

Is there a limit on image size or resolution?

There is no hard limit, but very large images (5000+ pixels on either dimension) may take a few seconds to process, as all calculations happen client-side. For extremely large images, consider resizing them first for faster processing.