remotion-performance-optimizer

name	remotion-performance-optimizer
description	Analyzes Remotion compositions for performance issues and provides optimization recommendations. Identifies expensive computations, unnecessary re-renders, large assets, memoization opportunities, and architecture improvements. Use when optimizing render times or when asked to "improve performance", "speed up renders", "optimize Remotion video".

Remotion Performance Optimizer

Comprehensive performance analysis and optimization recommendations for Remotion video compositions. Identifies bottlenecks and provides actionable fixes to reduce render times.

What This Skill Does

Performs deep performance analysis:

1. Computation analysis — Identify expensive operations in render path
2. Re-render detection — Find unnecessary component re-renders
3. Asset optimization — Recommend asset size and format improvements
4. Memoization opportunities — Identify cacheable calculations
5. Architecture review — Suggest structural improvements
6. Render profiling — Analyze frame render times

Input/Output Formats

Input Format: Remotion Composition Code

Accepts implemented Remotion composition files:

Files to analyze:

src/remotion/compositions/VideoName/
├── index.tsx           # Main composition
├── constants.ts        # Color, timing, spring configs
├── types.ts            # TypeScript types
└── scenes/
    ├── Scene1.tsx
    ├── Scene2.tsx
    └── Scene3.tsx

Context needed:

• Target render time goals (e.g., < 100ms/frame)
• Composition complexity (simple, moderate, complex)
• Any specific performance concerns

Example request:

Analyze performance of VideoName composition.
Target: < 100ms/frame average render time.
Scene 2 is rendering slowly (200ms/frame).

Output Format: OPTIMIZATION_REPORT.md

Generates detailed performance analysis with actionable fixes:

# Performance Optimization Report: [Video Title]

**Date:** 2026-01-23
**Analyzer:** remotion-performance-optimizer
**Composition:** `src/remotion/compositions/VideoName/`

---

## Executive Summary

**Current Performance:** ⚠️ NEEDS OPTIMIZATION

| Metric | Current | Target | Status |
|--------|---------|--------|--------|
| **Average Render Time** | 145ms/frame | < 100ms | 🔴 45% over target |
| **Slowest Scene** | Scene 2: 285ms | < 150ms | 🔴 90% over target |
| **Total Render Time (estimated)** | 36 minutes | < 20 minutes | 🔴 80% over target |
| **Memory Usage** | Normal | Normal | 🟢 Good |

**Potential Improvement:** 60-70% faster render times after implementing recommendations

**Priority Actions:**
1. Replace Math.random() with seeded random in Scene 2 (55% improvement)
2. Optimize large product image (20% faster asset loading)
3. Extract repeated spring calculations (15% improvement)

---

## Performance Breakdown by Scene

| Scene | Avg Render Time | Status | Primary Bottleneck |
|-------|----------------|--------|-------------------|
| Scene 1 | 75ms | 🟢 Good | None |
| Scene 2 | 285ms | 🔴 Critical | Non-deterministic particle system |
| Scene 3 | 95ms | 🟡 Acceptable | Large asset loading |
| Scene 4 | 80ms | 🟢 Good | None |

**Overall:** 145ms average (Target: < 100ms)

---

## Issues Found

### CRITICAL (Major Performance Impact)

#### 1. Non-Deterministic Particle System in Scene 2
**Impact:** 🔴 200ms per frame slowdown
**Location:** `src/remotion/compositions/VideoName/scenes/Scene2.tsx:48-65`
**Severity:** Critical - 70% of render time in Scene 2

**Problem:**
```typescript
// ❌ PROBLEM: Math.random() called 70 times per frame
{Array.from({ length: 70 }, (_, i) => {
  const x = Math.random() * width;     // Recalculated every frame!
  const y = Math.random() * height;    // Non-deterministic
  const speed = Math.random() * 2;

  return <Particle key={i} x={x} y={y} speed={speed} />;
})}

Why This Is Slow:

• Math.random() is non-deterministic (different each frame)
• 70 particles × 3 random calls = 210 random calls per frame
• Remotion can't cache because values change
• Browser must recalculate positions every frame

Solution:

// ✅ OPTIMIZED: Seeded random, deterministic
const seededRandom = (seed: number): number => {
  const x = Math.sin(seed) * 10000;
  return x - Math.floor(x);
};

const particles = useMemo(
  () => Array.from({ length: 70 }, (_, i) => ({
    x: seededRandom(i * 123.456) * width,
    y: seededRandom(i * 789.012) * height,
    speed: seededRandom(i * 456.789) * 2,
  })),
  [width, height]
);

{particles.map((p, i) => (
  <Particle key={i} x={p.x} y={p.y} speed={p.speed} />
))}

Expected Improvement:

• Scene 2: 285ms → 125ms (55% faster)
• Overall: 145ms → 105ms (28% faster)
• Total render time: 36min → 22min (40% faster)

Implementation Time: 15 minutes

---

HIGH (Significant Performance Impact)

2. Large Unoptimized Product Image

Impact: 🟡 50ms asset loading delay Location: public/images/product.png Severity: High - Affects loading and memory

Problem:

Current Asset:
- Format: PNG (unnecessary transparency)
- Resolution: 4000x3000 (2x larger than needed)
- File Size: 8.2MB
- Load Time: ~50ms

Why This Is Slow:

• 8.2MB file takes time to load and decode
• 4000x3000 is overkill for 1920x1080 display
• PNG format unnecessary (no transparency used)

Solution:

# Resize and convert to JPEG
magick public/images/product.png \
  -resize 1920x1440 \
  -quality 90 \
  public/images/product.jpg

# Update code
<Img src={staticFile('images/product.jpg')} />

Result:

Optimized Asset:
- Format: JPEG
- Resolution: 1920x1440 (2x for retina)
- File Size: ~400KB (95% smaller)
- Load Time: ~5ms (90% faster)

Expected Improvement:

• Scene 3 load time: 50ms faster
• Overall render: 95ms → 85ms in Scene 3
• Smaller final video file

Implementation Time: 5 minutes

---

3. Repeated Spring Calculations

Impact: 🟡 30ms per scene Location: Multiple scenes Severity: High - Accumulates across scenes

Problem in Scene 1:

// ❌ PROBLEM: Spring calculated 3 times
<div style={{
  opacity: spring({ frame, fps, config: SMOOTH }),
  scale: spring({ frame, fps, config: SMOOTH }),
  y: interpolate(spring({ frame, fps, config: SMOOTH }), [0, 1], [0, 100]),
}} />

Why This Is Slow:

• Spring function has internal calculations
• Called 3 times with identical parameters
• Remotion can't optimize duplicate calls
• Wastes 20-30ms per scene

Solution:

// ✅ OPTIMIZED: Calculate once, reuse
const progress = spring({ frame, fps, config: SMOOTH });

<div style={{
  opacity: progress,
  scale: progress,
  y: interpolate(progress, [0, 1], [0, 100]),
}} />

Expected Improvement:

• Per scene: 20-30ms faster
• Overall: 145ms → 125ms (15% faster)
• Affects Scenes 1, 3, 4

Implementation Time: 10 minutes

---

MEDIUM (Moderate Performance Impact)

4. Component Not Memoized

Impact: 🟡 10-15ms Location: Scene components Severity: Medium - Minor unnecessary re-renders

Problem:

// Scene components re-render even when props haven't changed
function Scene1() { ... }
function Scene2() { ... }

Solution:

import { memo } from 'react';

const Scene1 = memo(() => { ... });
const Scene2 = memo(() => { ... });

Expected Improvement:

• 10-15ms per scene
• Overall: 10% faster in complex compositions

Implementation Time: 5 minutes

---

LOW (Minor Performance Impact)

5. Array Creation in Render

Impact: 🟢 2-5ms Location: Scene4.tsx:23 Severity: Low - Negligible but fixable

Problem:

// Array recreated every frame
{Array(50).fill(0).map((_, i) => <Element key={i} />)}

Solution:

// Reuse array reference
const ELEMENTS = Array.from({ length: 50 }, (_, i) => i);

{ELEMENTS.map((i) => <Element key={i} />)}

Expected Improvement: 2-5ms (minimal but good practice)

Implementation Time: 2 minutes

---

Optimization Implementation Plan

Phase 1: Critical Fixes (15 minutes) — 55% improvement

1. Replace Math.random() with seeded random in Scene 2
   • Expected: 285ms → 125ms

Phase 2: High Priority (15 minutes) — 20% additional improvement

1. Optimize product.png to JPEG (5 min)
   • Expected: 95ms → 85ms in Scene 3
2. Extract spring calculations (10 min)
   • Expected: 145ms → 125ms overall

Phase 3: Medium Priority (10 minutes) — 10% additional improvement

1. Memoize scene components
   • Expected: 10-15ms improvement

Phase 4: Low Priority (5 minutes) — 2-5% improvement

1. Extract array constants
   • Expected: 2-5ms improvement

Total Implementation Time: 45 minutes Total Expected Improvement: 60-70% faster renders

---

Before/After Projections

Metric	Before	After Phase 1	After Phase 2	After All	Target
Scene 2	285ms	125ms	115ms	110ms	< 150ms ✅
Scene 3	95ms	95ms	85ms	80ms	< 100ms ✅
Overall Avg	145ms	105ms	90ms	85ms	< 100ms ✅
Total Render	36min	22min	19min	18min	< 20min ✅

After all optimizations: All targets met! 🎉

---

Performance Validation

Benchmarking Commands

# Test single frame render time
npx remotion still src/index.tsx VideoName --frame=150

# Profile specific scene (Scene 2)
npx remotion still src/index.tsx VideoName --frame=225

# Benchmark full render (first 100 frames)
time npx remotion render src/index.tsx VideoName test.mp4 --frames=0-100

# Full production render with timing
time npx remotion render src/index.tsx VideoName output.mp4

Performance Targets

Composition Type	Target	Current	Status
Simple scenes	< 50ms	75ms (Scenes 1,4)	🟡 Acceptable
Moderate scenes	< 100ms	145ms avg	🔴 Over target
Complex scenes	< 150ms	285ms (Scene 2)	🔴 Over target

After optimizations: All scenes should meet targets

---

Code Quality Checks

✅ Good Patterns Found:

• Constants extracted (COLORS, SPRING_CONFIGS)
• useVideoConfig used for responsive sizing
• TypeScript types defined
• staticFile() used for assets

⚠️ Optimization Opportunities:

• Replace Math.random() with seeded random
• Extract repeated spring calculations
• Memoize scene components
• Optimize large assets

---

Asset Optimization Details

Current Assets

Asset	Size	Format	Status	Recommendation
logo.png	180KB	PNG	🟢 Good	Keep as-is
product.png	8.2MB	PNG	🔴 Optimize	→ JPEG 400KB
background.mp3	1.8MB	MP3	🟢 Good	Keep as-is
whoosh.mp3	45KB	MP3	🟢 Good	Keep as-is

Optimization Commands

# Product image (95% size reduction)
magick public/images/product.png \
  -resize 1920x1440 \
  -quality 90 \
  public/images/product.jpg

---

Recommendations Summary

Immediate Actions (Critical)

1. ✅ Replace Math.random() in Scene 2 — 55% faster
   • Priority: CRITICAL
   • Time: 15 minutes
   • Impact: 160ms per frame improvement

Short-Term Actions (High Priority)

1. ✅ Optimize product image — 20% faster loading

   • Priority: HIGH
   • Time: 5 minutes
   • Impact: 50ms improvement

2. ✅ Extract spring calculations — 15% faster

   • Priority: HIGH
   • Time: 10 minutes
   • Impact: 20-30ms per scene

Long-Term Improvements (Medium/Low)

1. Memoize scene components (10% improvement)
2. Extract array constants (2-5% improvement)
3. Consider lazy loading assets
4. Profile with Chrome DevTools for deeper analysis

---

Next Steps

1. Implement Critical Fix: Replace Math.random() (highest impact)
2. Benchmark: Verify Scene 2 improvement (should be 285ms → 125ms)
3. Implement High Priority: Optimize assets and springs
4. Re-run analysis: Verify all targets met
5. Final render: Generate production video with optimizations

---

Tools & Resources

Profiling Tools

# Remotion built-in profiling
npx remotion preview --log=verbose

# Chrome DevTools profiling
# Open preview → DevTools → Performance tab → Record

Optimization References

• Remotion Performance Docs: https://remotion.dev/docs/performance
• React Profiler: https://react.dev/reference/react/Profiler
• Seeded Random Pattern: See /remotion-component-builder skill

---

Approval

Status: ⚠️ OPTIMIZATION REQUIRED BEFORE PRODUCTION

After implementing critical and high-priority fixes, this composition will meet all performance targets and be production-ready.

Estimated Time to Production-Ready: 30-45 minutes of optimization work

Signed: remotion-performance-optimizer Date: 2026-01-23

**This document provides:**
- Current vs. target performance metrics
- Prioritized issues by impact (CRITICAL, HIGH, MEDIUM, LOW)
- Before/after projections with concrete numbers
- Specific code locations and fixes
- Implementation time estimates
- Step-by-step optimization plan
- Benchmarking commands for validation
- Asset optimization recommendations

**Feeds into:**
- Developer: Implement fixes
- Re-run `/remotion-video-reviewer` after optimizations
- Final production render

## Performance Analysis Categories

### 1. Expensive Computations

**Issue:** Calculations executed every frame unnecessarily.

**Detection:**
```typescript
// ❌ PROBLEM - Recalculated every frame
function Scene() {
  const frame = useCurrentFrame();

  // Heavy calculation every frame
  const particles = Array.from({ length: 1000 }, () => ({
    x: Math.random() * 1920,
    y: Math.random() * 1080,
  }));

  return /* render particles */;
}

Solution:

// ✓ OPTIMIZED - Deterministic, seeded
function Scene() {
  const frame = useCurrentFrame();

  // Deterministic calculation
  const particles = useMemo(
    () => Array.from({ length: 1000 }, (_, i) => ({
      x: seededRandom(i * 123) * 1920,
      y: seededRandom(i * 456) * 1080,
    })),
    [] // No dependencies, calculate once
  );

  return /* render particles */;
}

// Seeded random for consistency
const seededRandom = (seed: number) => {
  const x = Math.sin(seed) * 10000;
  return x - Math.floor(x);
};

Impact: 30-50% render time reduction for scenes with many elements.

2. Repeated Spring Calculations

Issue: Same spring calculation multiple times.

Detection:

// ❌ PROBLEM - Spring calculated 3 times
<div style={{
  opacity: spring({ frame, fps, config: SMOOTH }),
  scale: spring({ frame, fps, config: SMOOTH }),
  y: interpolate(spring({ frame, fps, config: SMOOTH }), [0, 1], [0, 100]),
}} />

Solution:

// ✓ OPTIMIZED - Calculate once, reuse
const progress = spring({ frame, fps, config: SMOOTH });

<div style={{
  opacity: progress,
  scale: progress,
  y: interpolate(progress, [0, 1], [0, 100]),
}} />

Impact: 10-20% render time reduction per scene.

3. Large Asset Sizes

Issue: Unoptimized assets slow down loading and rendering.

Detection:

Product image: 4000x3000 PNG (8.2MB)
Background video: 3840x2160 ProRes (450MB)
Logo: 2000x2000 PNG (1.5MB)

Recommendations:

✓ Product image: 1920x1440 JPEG 90% (400KB) — 95% smaller
✓ Background video: 1920x1080 H.264 (25MB) — 95% smaller
✓ Logo: 800x800 PNG optimized (80KB) — 95% smaller

Impact: Faster renders, smaller output files, better preview performance.

4. Unnecessary Re-renders

Issue: Components re-render when dependencies haven't changed.

Detection:

// ❌ PROBLEM - Re-renders on every frame change
function ExpensiveComponent({ data }) {
  // Heavy calculation
  const processed = data.map(item => /* complex transform */);

  return /* render */;
}

// Parent re-renders every frame
<ExpensiveComponent data={staticData} />

Solution:

// ✓ OPTIMIZED - Memoized component
const ExpensiveComponent = memo(({ data }) => {
  // Heavy calculation
  const processed = useMemo(
    () => data.map(item => /* complex transform */),
    [data]
  );

  return /* render */;
});

// Or: Extract static data outside component
const processedData = staticData.map(item => /* complex transform */);

function Scene() {
  return <Component data={processedData} />;
}

Impact: 20-40% render time reduction for complex components.

5. DOM Thrashing

Issue: Excessive DOM reads/writes causing layout thrashing.

Detection:

// ❌ PROBLEM - Reading and writing in loop
elements.forEach((el) => {
  const width = el.getBoundingClientRect().width; // Read
  el.style.width = `${width * 2}px`; // Write (causes reflow)
});

Solution:

// ✓ OPTIMIZED - Batch reads, then batch writes
const widths = elements.map((el) => el.getBoundingClientRect().width);
elements.forEach((el, i) => {
  el.style.width = `${widths[i] * 2}px`;
});

Impact: 15-30% improvement in DOM-heavy scenes.

6. Unoptimized Loops

Issue: Inefficient iteration patterns.

Detection:

// ❌ PROBLEM - Array creation every frame
{Array(100).fill(0).map((_, i) => (
  <Particle key={i} index={i} />
))}

Solution:

// ✓ OPTIMIZED - Reuse array reference
const PARTICLES = Array.from({ length: 100 }, (_, i) => i);

{PARTICLES.map((i) => (
  <Particle key={i} index={i} />
))}

Impact: 5-10% improvement in scenes with many elements.

Performance Optimization Checklist

Computation Optimizations

• No Math.random() in render (use seeded random)
• Heavy calculations use useMemo
• Spring calculations extracted and reused
• Static data moved outside components
• Loops use Array.from instead of Array().fill()

Component Optimizations

• Expensive components wrapped in memo()
• useMemo for derived state
• useCallback for event handlers passed to children
• Components split appropriately (not too large)

Asset Optimizations

• Images sized to actual display dimensions (2x for retina)
• JPEG for photos, PNG for transparency, SVG for graphics
• Videos use H.264 codec with reasonable bitrate
• Audio files trimmed to exact duration
• Fonts load only required weights

Render Optimizations

• Avoid inline object/array creation in JSX
• Use key prop correctly in lists
• Minimize div nesting depth
• Use CSS transforms over position changes
• AbsoluteFill instead of complex layouts

Architecture Optimizations

• Extract reusable components
• Scene components under 200 lines
• Constants extracted to top of file
• Utility functions outside components
• Logical component composition

Performance Benchmarking

Measuring Render Time

# Benchmark a specific frame
npx remotion still src/index.tsx VideoName --frame=100

# Benchmark full render (first 100 frames)
time npx remotion render src/index.tsx VideoName output.mp4 --frames=0-100

# Profile with Chrome DevTools
npx remotion preview
# Open Chrome DevTools → Performance tab → Record

Performance Targets

Composition Type	Target Render Time	Notes
Simple (text, shapes)	< 50ms/frame	Minimal computations
Moderate (animations, images)	50-100ms/frame	Standard videos
Complex (particles, 3D)	100-200ms/frame	Heavy effects
Very Complex (thousands of elements)	200-500ms/frame	Acceptable with optimization

Red flags:

• Single frame > 500ms → Major optimization needed
• Render time increases over time → Memory leak

Common Bottleneck Patterns

Pattern 1: Particle Explosion

Issue:

// 1000 particles, each calculating independently
{Array(1000).fill(0).map((_, i) => {
  const x = Math.random() * width;  // Recalculated every frame!
  const y = Math.random() * height;
  return <Particle key={i} x={x} y={y} />;
})}

Fix:

// Deterministic particles, calculated once
const particles = useMemo(
  () => Array.from({ length: 1000 }, (_, i) => ({
    x: seededRandom(i * 123.456) * width,
    y: seededRandom(i * 789.012) * height,
  })),
  [width, height]
);

{particles.map((p, i) => (
  <Particle key={i} x={p.x} y={p.y} />
))}

Pattern 2: Text Processing

Issue:

// String operations every frame
const words = text.split(' ');
const processed = words.map(w => w.toUpperCase());

Fix:

// Process once outside render
const processedWords = useMemo(
  () => text.split(' ').map(w => w.toUpperCase()),
  [text]
);

Pattern 3: Conditional Rendering

Issue:

// Component always rendered, visibility toggled
<HeavyComponent style={{ opacity: frame > 100 ? 1 : 0 }} />

Fix:

// Don't render at all when not visible
{frame > 100 && <HeavyComponent />}

Optimization Report Template

## Performance Optimization Report

### Current Performance
- Average render time: 180ms/frame
- Slowest scene: Scene 3 (350ms/frame)
- Total video render time: 45 minutes (estimated)

### Identified Issues

**CRITICAL (Major Impact)**
1. Particle system using Math.random()
   - Location: Scene 2, ParticleSystem component
   - Impact: +200ms per frame
   - Fix: Replace with seeded random
   - Estimated improvement: 55% faster

2. 4K product image not optimized
   - Location: Scene 4
   - Current: 8.2MB PNG
   - Impact: Slow loading, memory pressure
   - Fix: Resize to 1920x1440, convert to JPEG
   - Estimated improvement: 95% smaller file

**HIGH (Significant Impact)**
1. Repeated spring calculations
   - Location: Scene 1, Scene 3, Scene 5
   - Impact: +50ms per scene
   - Fix: Extract to progress variable
   - Estimated improvement: 20% faster

**MEDIUM (Moderate Impact)**
1. Components not memoized
   - Location: Scene components
   - Fix: Wrap in React.memo()
   - Estimated improvement: 10% faster

### Optimization Plan

1. Implement seeded random (15 min) — 55% improvement
2. Optimize assets (30 min) — Better loading
3. Extract spring calculations (10 min) — 20% improvement
4. Memoize components (20 min) — 10% improvement

**Expected Result:**
- Render time: 180ms → 80ms per frame (55% faster)
- Total render: 45 min → 20 min

Integration with Other Skills

Works with:

• /remotion-video-reviewer — Performance audit during review
• /remotion-best-practices — Ensures optimized patterns
• /remotion-spec-translator — Generates optimized code from start

Rules Directory

Detailed optimization guides:

• rules/computation-optimization.md — Optimizing calculations
• rules/asset-optimization.md — Asset size and format
• rules/memoization-strategies.md — When and how to memoize
• rules/render-optimization.md — Render path improvements

---

This skill ensures Remotion videos render as fast as possible while maintaining quality.