Image Candy

Converts images between JPEG, PNG, GIF, and WebP formats using client-side canvas rendering and codec libraries, processing the image entirely in the browser without server upload. The conversion pipeline detects source format, decodes the image data, applies format-specific encoding parameters, and generates downloadable output. This approach eliminates server-side processing overhead and preserves user privacy by keeping image data local to the browser.

Applies compression algorithms to reduce file size while maintaining visual quality, using configurable quality sliders that adjust JPEG compression levels (0-100) and PNG optimization strategies. The tool implements both lossy compression (JPEG, WebP) that discards imperceptible color data and lossless compression (PNG, GIF) that preserves all pixel information. Real-time preview shows the trade-off between file size reduction and visual degradation before export.

Processes multiple images through a defined sequence of operations (crop, resize, rotate, compress, convert) in a single workflow, applying the same transformation parameters to all selected files. The batch engine queues images, applies each operation sequentially in the browser, and generates downloadable results as individual files or a ZIP archive. This approach eliminates repetitive manual edits across similar images.

Provides a visual crop tool with draggable selection box, preset aspect ratios (1:1, 4:3, 16:9, custom), and real-time preview of the cropped region. The tool renders the image on an HTML5 Canvas with an overlay showing the crop area, allows freehand or constrained-ratio selection, and applies the crop transformation using Canvas pixel manipulation. Users can lock aspect ratios to maintain consistent dimensions across batches.

Scales images to specified dimensions using Canvas-based interpolation algorithms (nearest-neighbor, bilinear, or bicubic depending on browser support), with options to maintain aspect ratio by padding or cropping. The tool accepts pixel dimensions, percentage scaling, or preset sizes (thumbnail, web, print), and applies the transformation using Canvas.drawImage() with scaling parameters. Aspect ratio lock prevents distortion by automatically adjusting one dimension when the other is changed.

Rotates images by fixed increments (90°, 180°, 270°) or custom angles, with flip operations (horizontal, vertical). The tool uses Canvas transformation matrices (rotate, scale) to apply the transformation without re-encoding the image data, preserving quality. Custom angle rotation uses trigonometric calculations to expand the canvas if needed to prevent clipping, and applies the rotation around the image center.

Operates entirely without user authentication, account creation, or server-side state storage. All image processing occurs in the browser using client-side JavaScript and Canvas APIs, with no data transmitted to servers except optional analytics. This architecture eliminates login friction and privacy concerns, as images never leave the user's device. The trade-off is no cloud backup, sharing, or cross-device access.

Exports edited images without adding watermarks, logos, or branding overlays, allowing users to download the final result directly as a file. The tool uses Canvas.toBlob() or Canvas.toDataURL() to generate the output and triggers a browser download without server-side processing or watermarking pipelines. This approach preserves the edited image in its pure form without additional artifacts.