Halftone Effect

Workflow & Usage

1. Add images
   Drag & drop, paste, or click to select JPEG, PNG, or WebP files.
   You can work with a single image or batch-process many at once.

2. Choose your colors

   • Dot Color — applied to the halftone dots
   • Background Color — filled behind the dots in the final image
     Both controls include a visual color picker and a synced hex input.

3. Adjust the halftone structure
   Fine-tune the look using:

   • Dot Size — controls the maximum size of each dot
   • Spacing — distance between dots
   • Strength — controls how strongly brightness affects dot size
   • Invert — makes brighter areas produce larger dots instead of darker ones

4. Preview instantly
   All images update live as you change settings.
   Previews are contained inside each card so borders remain clean and unaltered.

5. Export your results

   • Download images one by one
   • Export all selected images as a ZIP
     Files keep their original format and use clear names like:
     photo-halftone-111827-ffffff.jpg

Everything runs fully on-device and offline-friendly.

Perfect For

• Posters & Print-Style Graphics
  Recreate classic newspaper, comic, or risograph-inspired visuals.

• Screen Printing & Merch Design
  Generate dot patterns suitable for high-contrast prints.

• Album Covers & Editorial Art
  Create bold, textured imagery with precise control.

• Brand & Marketing Assets
  Match dot and background colors to brand palettes.

• Creative Experiments
  Explore abstract patterns by pushing dot size, spacing, and strength.

Tips for Best Results

• High-contrast images work best.
  Clear light and dark areas produce more readable dot patterns.

• Use spacing and strength together.
  Larger spacing with high strength creates bold, graphic results.

• Try invert with dark backgrounds.
  Inverted halftones are ideal when using light dots on dark backgrounds.

• Batch consistently.
  Apply the same settings across multiple images for a cohesive look.

• Optimize after export.
  Run your results through Image Compressor or Progressive JPEG Converter for production-ready file sizes.

How It Works

• Luminance analysis
  Each pixel’s brightness is measured to determine how large its corresponding dot should be.

• Grid-based dot rendering
  The image is sampled on a regular grid defined by dot size and spacing.

• Strength & inversion mapping
  Brightness values are shaped using a gamma curve and optional inversion for creative control.

• Canvas-based rendering
  Everything is rendered using the HTML Canvas API — no WebGL, no AI, no servers.

• EXIF-aware loading
  Images are loaded with createImageBitmap({ imageOrientation: 'from-image' }) to preserve correct orientation from cameras and phones.