Image Handling Patterns

Quick Guide: Use

URL.createObjectURL()

for image previews (most efficient). Resize/compress with Canvas API before upload. Always cleanup object URLs with

URL.revokeObjectURL()

to prevent memory leaks. Handle EXIF orientation for mobile photos only when processing for upload (modern browsers auto-rotate for display). Use step-down scaling for quality preservation on large reductions.

<critical_requirements>

CRITICAL: Before Using This Skill

All code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering,

import type

, named constants)

(You MUST cleanup object URLs with

URL.revokeObjectURL()

(You MUST check browser context before applying EXIF orientation - modern browsers auto-rotate, manual handling causes double rotation)

(You MUST use step-down scaling when reducing images by more than 50% - single-pass resize loses quality)

(You MUST limit canvas dimensions to browser maximums (typically 4096px) - larger canvases crash browsers)

</critical_requirements>

Auto-detection: image preview, URL.createObjectURL, revokeObjectURL, canvas resize, image compression, EXIF orientation, toBlob, toDataURL, FileReader image, image thumbnail, client-side resize, image crop, canvas drawImage, createImageBitmap, image quality

When to use:

• Creating image previews before upload
• Resizing or compressing images client-side
• Handling EXIF orientation from mobile photos
• Converting between image formats (JPEG/PNG/WebP)
• Generating thumbnails from user-selected images
• Implementing image cropping interfaces

When NOT to use:

• Server-side image processing (not client-side scope)
• Image CDN/optimization services (infrastructure concern)
• Complex image editing (consider dedicated libraries like Fabric.js or Konva)

Philosophy

Client-side image handling improves UX by providing instant previews and reducing upload sizes before they hit your server. The key insight is that preview and processing have different optimal approaches -

URL.createObjectURL()

Core Principles:

1. Object URLs for preview - No file reading, instant display, must cleanup
2. Canvas for processing - Resize, compress, convert formats
3. Memory management is critical - Leaked object URLs accumulate indefinitely
4. EXIF awareness - Modern browsers auto-rotate for display; manual handling only for upload processing
5. Progressive quality - Step-down scaling preserves sharpness on large reductions

Preview Method Comparison:

URL.createObjectURL()

FileReader.readAsDataURL()

toDataURL()

Core Patterns

Pattern 1: Object URL Preview with Cleanup

Use

URL.createObjectURL()

// The essential cleanup pattern
useEffect(() => {
  const url = URL.createObjectURL(file);
  setPreviewUrl(url);
  return () => URL.revokeObjectURL(url); // MUST cleanup
}, [file]);

Why good: Instant preview without reading file into memory, cleanup prevents memory leaks

// BAD: No cleanup - memory leak
const [preview] = useState(() => URL.createObjectURL(file));
// URL never revoked - memory accumulates indefinitely!

Why bad: Object URL never revoked, browser holds blob reference indefinitely, compounds with each file selection

See examples/core.md Pattern 1-2 for complete hook and component implementations.

Pattern 2: Canvas Resize with Quality Preservation

Resize images using Canvas API. Key concerns: clamp dimensions to browser limits (4096px safe max), enable

imageSmoothingQuality: "high"

const MAX_CANVAS_DIMENSION = 4096;

// Clamp to browser limits, maintain aspect ratio
const ratio = Math.min(maxWidth / img.width, maxHeight / img.height);
const width = Math.round(img.width * Math.min(ratio, 1));
const height = Math.round(img.height * Math.min(ratio, 1));

ctx.imageSmoothingEnabled = true;
ctx.imageSmoothingQuality = "high";
if (mimeType === "image/jpeg") {
  ctx.fillStyle = "#ffffff";
  ctx.fillRect(0, 0, width, height); // White bg for JPEG
}
ctx.drawImage(img, 0, 0, width, height);

See examples/core.md Pattern 3 for dimension validation, examples/canvas.md for complete resize pipeline.

Pattern 3: Step-Down Scaling

For reductions >50%, scale in multiple passes to preserve sharpness. A 4000px to 100px single-pass resize produces blurry results; two intermediate steps maintain quality.

const STEP_DOWN_THRESHOLD = 0.5;
const reductionRatio = targetWidth / img.width;

if (reductionRatio < STEP_DOWN_THRESHOLD) {
  // Multi-pass: 4000 -> 400 -> 100 (two steps)
  const factor = Math.pow(targetWidth / img.width, 1 / steps);
  for (let i = 0; i < steps; i++) {
    /* scale by factor each step */
  }
} else {
  // Single-pass is fine for small reductions
}

See examples/canvas.md Pattern 1 for complete step-down implementation with automatic strategy selection.

Pattern 4: EXIF Orientation

Modern browsers (2020+) auto-rotate images for display via CSS

image-orientation: from-image

• Processing images for upload (server may strip EXIF and not rotate)
• Using Node.js canvas (no auto-rotation)
• Needing to detect orientation programmatically

// For DISPLAY: modern browsers handle it - do nothing
<img src={URL.createObjectURL(file)} /> // Auto-rotated

// For UPLOAD PROCESSING: normalize before sending to server
const orientation = await getExifOrientation(file); // Read from JPEG header
if (orientation !== 1) {
  const normalized = await normalizeOrientation(file);
  await uploadToServer(normalized);
}

// To BYPASS auto-rotation (show raw orientation)
<img src={url} style={{ imageOrientation: 'none' }} />

Gotcha: Applying

normalizeOrientation()

<img>

See examples/core.md Pattern 4 for EXIF parsing implementation.

Pattern 5: Format Conversion

Convert between JPEG/PNG/WebP with format-appropriate quality defaults. Key detail: JPEG cannot represent transparency, so fill white background before conversion.

const FORMAT_QUALITY_DEFAULTS: Record<string, number> = {
  "image/jpeg": 0.85,
  "image/webp": 0.82,
  "image/png": 1, // Lossless - quality param ignored
};

WebP is supported in all modern browsers (including Safari 14+). For target file size, use binary search over quality parameter.

See examples/canvas.md Pattern 2 for binary search quality targeting.

Pattern 6: Cropping

Canvas-based cropping using

drawImage()

// drawImage(source, sx, sy, sw, sh, dx, dy, dw, dh)
ctx.drawImage(
  img,
  cropX,
  cropY,
  cropWidth,
  cropHeight,
  0,
  0,
  outputWidth,
  outputHeight,
);

See examples/canvas.md Pattern 3 for complete crop implementation with aspect ratio helper.

Detailed Resources:

• examples/core.md - Preview hooks, components, dimension validation, EXIF parsing
• examples/preview.md - Drag-and-drop, thumbnails, gallery grid
• examples/canvas.md - Resize pipeline, target-size compression, cropping, watermarks, filters
• reference.md - Decision frameworks, constants reference, browser compatibility, anti-patterns

<red_flags>

RED FLAGS

High Priority Issues:

• Not calling

  URL.revokeObjectURL()

  - causes memory leaks that accumulate indefinitely
• Canvas dimensions exceeding 4096px - crashes browser tab or silently fails
• Double EXIF rotation - applying manual rotation in browsers that auto-rotate (all modern browsers since 2020)

Medium Priority Issues:

• Using

  FileReader.readAsDataURL()

  for preview - slow and memory-intensive vs object URLs
• Single-pass resize for large reductions (>50%) - results in blurry/aliased images
• Creating object URLs inside render functions - creates new URL every render cycle

Gotchas & Edge Cases:

• Object URLs persist until page unload even without cleanup (but waste memory)
• Canvas

  toBlob()

  is async,

  toDataURL()

  is sync - prefer toBlob for performance
• PNG with transparency converted to JPEG needs white background fill (otherwise black)
• Very large images may exceed WebGL limits even within canvas dimension limits
• Node.js canvas does NOT auto-rotate EXIF - still needs manual handling server-side
• Use

  image-orientation: none

  CSS to bypass browser auto-rotation when needed

</red_flags>

<critical_reminders>

CRITICAL REMINDERS

All code must follow project conventions in CLAUDE.md

(You MUST cleanup object URLs with

URL.revokeObjectURL()

(You MUST check browser context before applying EXIF orientation - modern browsers auto-rotate, manual handling causes double rotation)

(You MUST use step-down scaling when reducing images by more than 50% - single-pass resize loses quality)

(You MUST limit canvas dimensions to browser maximums (typically 4096px) - larger canvases crash browsers)

Failure to follow these rules will cause memory leaks, browser crashes, and poor image quality.

</critical_reminders>