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Mp4svg

Convert MP4 videos to SVG files using various encoding methods. Supports 6 different methods for embedding video data in SVG containers with robust browser playback, including in-SVG video players.

Icons:

img.png

Size:

img_1.png

Video:

[➤] Kliknij na poniższy obraz, aby uruchomić video SVG

<iframe src="1.svg" width="100%" height="600" frameborder="0"></iframe>

➤ Zobacz działające video w SVG - kliknij tutaj
(Otwórz w nowej karcie przeglądarki - pełna interaktywność z audio)

💡 Dlaczego nie działa inline?
GitHub i inne platformy markdown blokują JavaScript w SVG z bezpieczeństwa.
Aby zobaczyć działające video z kontrolkami - otwórz link powyżej! 🎬

PLayer

img.png

✨ Features

  • 6 Encoding Methods: Polyglot, ASCII85, Base64, Vector, QR Code, Hybrid
  • In-SVG Video Player: Play videos directly inside SVG using foreignObject
  • IndexedDB Fallback: Robust browser video playback with multiple fallback layers
  • Perfect Fidelity: Lossless video embedding with extraction capability
  • Browser Compatible: Works across all modern browsers
  • Multiple Interfaces: CLI, Python API, REST API, gRPC, Interactive Shell
  • Comprehensive Testing: Full test suite with integrity validation

🚀 Quick Start

Installation

# Install from PyPI
pip install mp4svg

# Or install from source
git clone https://github.com/veridock/mp4svg.git
cd mp4svg
pip install -e .

Basic Usage

# Convert using different methods
mp4svg video.mp4 output.svg --method polyglot    # 0% overhead
mp4svg video.mp4 output.svg --method ascii85     # 25% overhead  
mp4svg video.mp4 output.svg --method base64      # 33% overhead (NEW!)
mp4svg video.mp4 output.svg --method vector      # Lossy conversion
mp4svg video.mp4 output.svg --method qr          # QR code encoding
mp4svg video.mp4 output_dir/ --method hybrid     # Compare all methods

# Extract video from SVG
mp4svg output.svg extracted.mp4 --extract

📋 Available Methods

Method Overhead Fidelity Browser Playback Best For
polyglot 0% Perfect ✅ In-SVG player Minimum file size
ascii85 25% Perfect ✅ In-SVG player Efficient encoding
base64 33% Perfect ✅ In-SVG player Maximum compatibility
vector ~90% smaller Lossy ❌ Visual only Artistic/animation
qr Variable Perfect ❌ Requires scanner Interactive/unique
hybrid N/A Analysis ✅ Comparison Method comparison

Features

  • Working Video Playback: IndexedDB fallback system bypasses browser limitations for actual SVG video playback
  • 6 Encoding Methods: ASCII85, Polyglot, Vector Animation, QR Code, Base64, and Hybrid comparison
  • XML-Safe Embedding: Proper handling of binary data in SVG/XML context
  • Interactive SVG: Embedded JavaScript with multiple fallback methods for maximum compatibility
  • Thumbnail Previews: Base64 JPEG thumbnails for system/browser compatibility
  • Data Integrity: Built-in validation and checksum verification (100% fidelity)
  • Multiple Interfaces: CLI, REST API, gRPC, MCP server/client, interactive shell
  • Performance Analytics: Hybrid method compares all approaches with detailed metrics
  • Extensible Architecture: Modular converter design for easy extension

Installation

From PyPI (Recommended)

pip install mp4svg

From Source

git clone https://github.com/veridock/mp4svg.git
cd mp4svg
poetry install  # or pip install -e .

Dependencies

  • Python 3.8.1+
  • OpenCV (cv2)
  • NumPy
  • Pillow (PIL)
  • qrcode[pil]
  • lxml
  • Flask (for REST API)
  • grpcio (for gRPC server)

Quick Start

Command Line Usage

# Convert MP4 to SVG with working video playback (ASCII85)
mp4svg --method base64 input.mp4 output.svg

# Convert MP4 to SVG with working video playback (ASCII85)
mp4svg --method ascii85 input.mp4 output.svg

# Extract MP4 from any SVG (auto-detects method)
mp4svg --method ascii85 --extract output.svg extracted.mp4

# Compare ALL methods and get detailed metrics
mp4svg --method hybrid input.mp4 comparison_results/

# Smallest file size (lossy, but 90% smaller with gzip)
mp4svg --method vector --max-frames 30 input.mp4 vector_output.svg

# Zero SVG overhead (steganographic, perfect fidelity)
mp4svg --method polyglot input.mp4 polyglot_output.svg

# Visual QR code representation (memvid-style)
mp4svg --method qr --chunk-size 1024 input.mp4 qr_output.svg

Performance Comparison

Based on a 919,944 byte MP4 file:

Method Output Size Ratio Overhead Best For
Vector 394,429 bytes 0.4x -57.1% Smallest with gzip
Polyglot 1,258,575 bytes 1.4x +36.8% Zero SVG overhead
ASCII85 1,575,719 bytes 1.7x +71.3% Video playback
Base64 1,643,819 bytes 1.8x +78.5% Maximum compatibility
QR Code 3,144,230 bytes 3.4x +241.8% Visual/memvid style

Video Playback Features

ASCII85 SVG files now support actual video playback in browsers!

How it works:

  1. Automatic decoding: JavaScript decodes ASCII85 to MP4 bytes
  2. Multiple fallback methods:
    • Direct video.play() attempt
    • Video controls simulation
    • Pop-up video player
    • IndexedDB + new window (bypasses SVG limitations)
    • Final fallback to download

Browser Compatibility:

  • Chrome/Edge: IndexedDB fallback working
  • Firefox: IndexedDB fallback working
  • Safari: IndexedDB fallback working
  • Mobile browsers: Download fallback

🎨 Encoding Methods Detailed

1. ASCII85 Encoder (Recommended for Video Playback)

  • Overhead: ~25% (base85 encoding)
  • Features: Working video playback via IndexedDB, thumbnail preview
  • Use case: Interactive SVG with actual video playback capabilities
  • Browser support: Universal (with multiple fallbacks)

2. Polyglot Encoder (Most Efficient)

  • Overhead: ~0% for SVG viewing (data hidden in comments)
  • Features: Perfect steganography, invisible embedding
  • Use case: When SVG file size matters, steganographic applications
  • Extraction: Requires extraction to play video

3. Vector Encoder (Smallest with Compression)

  • Overhead: -57% (lossy conversion to SVG paths)
  • Features: ~90% smaller with gzip, pure SVG animation
  • Use case: Approximate visual representation, web delivery
  • Quality: Lossy but visually representative

4. QR Code Encoder (Visual/Memvid Style)

  • Overhead: +240% (visual QR encoding)
  • Features: Visual interest, memvid compatibility, scannable
  • Use case: Artistic projects, social media, visual appeal
  • Extraction: Requires QR scanning or extraction tool

5. Base64 Encoder (Maximum Compatibility)

  • Overhead: ~33% (base64 encoding)
  • Features: Maximum compatibility, working video playback
  • Use case: When compatibility is key, and file size is not a concern
  • Browser support: Universal (with multiple fallbacks)

6. Hybrid Method (Comparison Tool)

  • Function: Tests ALL methods and provides detailed comparison
  • Output: Complete analysis report with metrics
  • Use case: Choosing optimal method for specific requirements
  • Features: Performance benchmarking, size analysis

🛠️ Multiple Interface Options

Command Line Interface (CLI)

# Direct usage
mp4svg --method ascii85 input.mp4 output.svg

# With all options
mp4svg --method vector --max-frames 30 --edge-threshold 50 input.mp4 output.svg

Interactive Shell

# Launch interactive shell
mp4svg-shell

# Interactive commands available:
convert input.mp4 output.svg --method ascii85
extract output.svg extracted.mp4
validate output.svg
benchmark input.mp4

REST API Server

# Start REST API server
mp4svg-api --port 8000

# API endpoints available:
POST /convert - Convert MP4 to SVG
POST /extract - Extract MP4 from SVG  
GET /validate - Validate SVG integrity
GET /docs - OpenAPI documentation

gRPC Server

# Start gRPC server
python -m mp4svg.grpc_server

# gRPC services:
Mp4SvgService.Convert()
Mp4SvgService.Extract()
Mp4SvgService.Validate()

Python API

from mp4svg.converters import ASCII85SVGConverter, PolyglotSVGConverter

# ASCII85 with video playback
converter = ASCII85SVGConverter()
svg_path = converter.convert('video.mp4', 'output.svg')

# Extract with integrity validation
success = converter.extract('output.svg', 'extracted.mp4')

# Polyglot steganography
polyglot = PolyglotSVGConverter()
svg_path = polyglot.convert('video.mp4', 'hidden.svg')

# Hybrid comparison
from mp4svg.converters import HybridConverter
hybrid = HybridConverter()
results = hybrid.convert('video.mp4', 'comparison_dir/')

SVG Validation

The package includes comprehensive validation utilities:

from mp4svg.validators import SVGValidator, IntegrityValidator

# Complete validation pipeline
def validate_conversion(original_mp4, generated_svg):
    # Structure validation
    svg_validator = SVGValidator()
    svg_result = svg_validator.validate_svg_file(generated_svg)
    
    if not svg_result['is_well_formed']:
        print("SVG is not well-formed XML")
        return False
    
    # Integrity validation  
    integrity_validator = IntegrityValidator()
    integrity_result = integrity_validator.validate_integrity(
        generated_svg, original_mp4
    )
    
    if not integrity_result['data_integrity_valid']:
        print("Data integrity check failed")
        return False
        
    print(f"Validation successful: {svg_result['detected_format']} format")
    return True

Interactive SVG Features

Generated SVG files include:

  • Thumbnail Preview: JPEG thumbnail for system compatibility
  • Play Button: Click to decode and play video
  • JavaScript Decoder: Built-in ASCII85/Base64 decoder
  • Error Handling: Robust namespace and element selection

Project Structure

mp4svg/
├── src/mp4svg/
│   ├── __init__.py          # Package exports
│   ├── base.py              # Base converter class
│   ├── ascii85.py           # ASCII85 converter
│   ├── polyglot.py          # Polyglot converter  
│   ├── vector.py            # Vector animation converter
│   ├── qrcode.py            # QR code converter
│   ├── base64.py            # Base64 converter
│   ├── hybrid.py            # Hybrid converter
│   ├── cli.py               # Command-line interface
│   └── validators/          # Validation utilities
│       ├── __init__.py
│       ├── svg_validator.py
│       └── integrity_validator.py
├── tests/                   # Test suite
├── pyproject.toml          # Poetry configuration
└── README.md               # This file

Testing

Run the test suite:

# Install development dependencies
pip install -e ".[dev]"

# Run all tests
pytest tests/

# Run specific test file
pytest tests/test_converters.py  # Converter tests
pytest tests/test_validators.py  # Validation tests
pytest tests/test_api.py         # API tests

# Run with coverage
pytest tests/ --cov=mp4svg --cov-report=html

Advanced Usage

Custom Conversion Settings

# ASCII85 with custom settings
converter = ASCII85SVGConverter()
converter.thumbnail_quality = 85
converter.max_size_mb = 50

# Polyglot with custom boundary
polyglot = PolyglotSVGConverter()
polyglot.chunk_size = 8192

# Vector with animation settings  
vector = SVGVectorFrameConverter()
vector.frame_duration = 0.1
vector.edge_threshold = 100

# QR with error correction
qr = QRCodeSVGConverter(
    chunk_size=500,
    error_correction='H',  # High error correction
    border=2
)

Batch Processing

import os
from mp4svg import ASCII85SVGConverter

converter = ASCII85SVGConverter()

# Convert all MP4 files in directory
input_dir = '/path/to/videos/'
output_dir = '/path/to/svg_output/'

for filename in os.listdir(input_dir):
    if filename.endswith('.mp4'):
        input_path = os.path.join(input_dir, filename)
        output_path = os.path.join(output_dir, filename.replace('.mp4', '.svg'))
        
        try:
            converter.convert(input_path, output_path)
            print(f"Converted: {filename}")
        except Exception as e:
            print(f"Failed to convert {filename}: {e}")

🎬 Standalone Video to SVG Script

For simple use cases, use the included standalone script that generates clean SVG with <video> in <foreignObject>:

video_to_svg.py Usage

# Basic usage
python video_to_svg.py input.mp4 output.svg
python video_to_svg.py animation.webm result.svg

# With custom dimensions
python video_to_svg.py input.mp4 output.svg --width 800 --height 600

# Control video attributes
python video_to_svg.py input.mp4 output.svg --no-autoplay --no-loop --no-muted

Generated SVG Structure

<svg width="640" height="360" xmlns="http://www.w3.org/2000/svg">
  <foreignObject width="640" height="360">
    <body xmlns="http://www.w3.org/1999/xhtml">
      <video autoplay="true" loop="true" muted="true" width="640" height="360">
        <source src="data:video/mp4;base64,..." type="video/mp4" />
      </video>
    </body>
  </foreignObject>
</svg>

Features:

  • ✅ Simple Base64 data URI embedding
  • ✅ Clean SVG structure with <video> in <foreignObject>
  • ✅ Automatic MIME type detection (MP4, WebM, OGG, etc.)
  • ✅ Dimension detection (requires opencv-python)
  • ✅ No external dependencies for basic functionality
  • ✅ Web-ready defaults (autoplay, loop, muted)

🧪 Testing and Quality Assurance

Running Tests

# Run full test suite
pytest tests/

# Run specific test categories
pytest tests/test_converters.py  # Converter tests
pytest tests/test_validators.py  # Validation tests
pytest tests/test_api.py         # API tests

# Run with coverage
pytest tests/ --cov=mp4svg --cov-report=html

Continuous Integration

  • ✅ Unit tests: All converter methods
  • ✅ Integration tests: End-to-end workflows
  • ✅ Validation tests: SVG integrity and XML compliance
  • ✅ API tests: REST API and gRPC interfaces
  • ✅ Cross-platform CI/CD - Automated testing and deployment

🐳 Docker Support

Using Docker

# Build Docker image
docker build -t mp4svg .

# Run conversion in container
docker run -v $(pwd):/data mp4svg mp4svg --method ascii85 /data/input.mp4 /data/output.svg

# Run API server in container
docker run -p 8000:8000 mp4svg mp4svg-api --host 0.0.0.0 --port 8000

Docker Compose

version: '3.8'
services:
  mp4svg-api:
    build: .
    ports:
      - "8000:8000"
    volumes:
      - ./data:/app/data
    command: mp4svg-api --host 0.0.0.0 --port 8000

🚀 Performance Tips

Optimization Strategies:

  1. Choose the right method:

    • Vector for smallest files (with gzip)
    • Polyglot for steganography
    • ASCII85 for video playback
    • Base64 for maximum compatibility
    • QR for visual appeal

  2. Use hybrid for comparison:

    mp4svg --method hybrid input.mp4 analysis/

  3. Optimize vector parameters:

    # Fewer frames = smaller files
mp4svg --method vector --max-frames 10 --edge-threshold 100 input.mp4 output.svg

  4. Enable compression:

    # Serve with gzip compression
gzip output.svg  # Can reduce vector SVGs by ~90%

🐛 Troubleshooting

Common Issues:

Video playback not working in browser?

  • ✅ Use ASCII85 or Base64 method for video playback support
  • ✅ Allow popups in browser (for IndexedDB fallback)
  • ✅ Check browser console for detailed error logs

Large file sizes?

  • ✅ Use vector method for smallest files (with gzip)
  • ✅ Use polyglot for zero SVG overhead
  • ✅ Run hybrid comparison to find optimal method

XML parsing errors?

  • ✅ Mp4svg handles XML-safe encoding automatically
  • ✅ Use built-in validation: mp4svg-validate output.svg
  • ✅ Check for file corruption during transfer

Extraction failures?

  • ✅ Ensure you specify the correct method used for encoding
  • ✅ Check file integrity: mp4svg-validate input.svg
  • ✅ Verify original video format compatibility

📈 Version History

v1.0.9 (Latest)

  • ✨ IndexedDB video playback - Working video playback in SVG
  • ✨ Multiple interface support - CLI, REST API, gRPC, Shell
  • ✨ Comprehensive validation - XML compliance and data integrity
  • ✨ Performance benchmarking - Hybrid comparison method
  • ✨ Cross-platform CI/CD - Automated testing and deployment

v1.0.0

  • 🎉 Initial release with core encoding methods
  • 🔧 Basic CLI interface
  • 📦 ASCII85 and Polyglot converters

🤝 Contributing

We welcome contributions! Please see our contributing guidelines:

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/amazing-feature
  3. Make your changes and add tests
  4. Run the test suite: pytest tests/
  5. Submit a pull request

Development Setup

git clone https://github.com/windsurf-ai/mp4svg.git
cd mp4svg
poetry install --dev
pre-commit install

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

  • OpenCV team for video processing capabilities
  • SVG Working Group for specification standards
  • Browser vendors for IndexedDB support
  • The open source community for testing and feedback

Made with ❤️ by the Windsurf AI team

Mp4svg - Making the impossible possible: Video playback in SVG! 🎬✨

🎬 Utility Scripts

mp4webm.py - MP4 to WebM Converter

Convert MP4 videos to WebM format with frame extraction to WebP and AVIF formats.

# Basic conversion
python mp4webm.py input.mp4 output.webm

# Advanced options
python mp4webm.py video.mp4 compressed.webm --max-frames 50
python mp4webm.py movie.mp4 result.webm --frames-dir custom_frames
python mp4webm.py input.mp4 output.webm --no-frames  # Skip frame extraction

Options:

  • input.mp4 - Input video file (MP4, AVI, MOV, MKV, WebM)
  • output.webm - Output WebM file path
  • --max-frames N - Maximum frames to extract (default: 100)
  • --frames-dir DIR - Custom frames output directory (default: output_frames)
  • --no-frames - Skip frame extraction, convert to WebM only
  • --quality N - WebP quality (1-100, default: 80)

Features:

  • ✅ High-quality WebM conversion (VP9 + Opus)
  • ✅ Frame extraction to WebP and AVIF formats
  • ✅ Compression reporting with size reduction statistics
  • ✅ Video metadata analysis (dimensions, FPS, frame count)
  • ✅ Error handling with detailed progress feedback
  • ✅ Format validation and warnings

Example Output:

📹 Extracting frames from: input.mp4
📊 Video info: 640x480 @ 24.00 FPS, 200 total frames
🔄 Converting input.mp4 → output.webm
✔️ Zapisano WebM: output.webm
📊 Original: 919,944 bytes → WebM: 445,231 bytes
🗜️ Compression: 51.6% smaller
🎉 Conversion complete!

Follow these instructions to make the following change to my code document.

Instruction: Update mp4webm.py documentation section to include intelligent MP4→WebM conversion with frame deduplication, smart diagnostics, and new CLI options

Code Edit:

## 🎬 MP4 to WebM Converter with Intelligent Frame Deduplication

The `mp4webm.py` script provides **intelligent MP4 to WebM conversion** with smart frame deduplication for optimal compression.

### 🧠 Smart Conversion Features

**Intelligent Frame Analysis:**
- ✅ **Real frame change detection** using MSE similarity analysis
- ✅ **Duplicate frame removal** based on configurable similarity threshold
- ✅ **Variable frame timing** in output WebM with correct durations
- ✅ **Optimal compression** for videos with static scenes, presentations, screen recordings

**Perfect for:**
- 📊 **Presentations** - Static slides with occasional changes
- 🖥️ **Screen recordings** - Long periods of no change  
- 🎞️ **Animations** - Slow frame transitions
- 📚 **Tutorials** - Videos with pauses/static content
- ⏰ **Time-lapse** - Real content changes over time

### 📋 Usage

```bash
# Traditional conversion (fixed frame rate)
python mp4webm.py input.mp4 output.webm

# 🧠 Intelligent conversion (recommended)
python mp4webm.py input.mp4 output.webm --smart-conversion

# Custom similarity threshold (0.0-1.0, default: 0.98)
python mp4webm.py input.mp4 output.webm --smart-conversion --threshold 0.95

# Advanced options with frame extraction
python mp4webm.py video.mp4 compressed.webm --max-frames 50
python mp4webm.py movie.mp4 result.webm --frames-dir custom_frames
python mp4webm.py input.mp4 output.webm --no-frames  # Skip frame extraction

⚙️ Options

Option Description Default
input Input video file (MP4, AVI, MOV, MKV, WebM) Required
output Output WebM file path Required
--smart-conversion Use intelligent frame deduplication False
--threshold Frame similarity threshold (0.0-1.0) 0.98
--max-frames N Maximum frames to extract for analysis 100
--frames-dir DIR Custom frames output directory output_frames
--no-frames Skip frame extraction, convert to WebM only False
--quality N WebP quality (1-100) 80

🎯 Smart Conversion Example

Input Video Analysis:

python mp4webm.py input.mp4 smart_output.webm --smart-conversion

Diagnostic Output:

🧠 Smart conversion: input.mp4 → smart_output.webm
🔍 Analyzing frame changes in: input.mp4
📊 Similarity threshold: 0.98
📺 Video: 201 frames @ 24.00 FPS
📍 Found 10 unique frames (skipped 190 duplicates)
✅ Analysis complete:
   Original frames: 201
   Unique frames: 8
   Duplicates removed: 193
   Compression ratio: 4.0%
🎬 Creating optimized WebM: smart_output.webm
🔄 Encoding WebM with variable frame timing...
✅ WebM created successfully!
✅ Smart WebM created: smart_output.webm
📊 Original: 919,944 bytes → WebM: 525,217 bytes
🗜️ Compression: 42.9% smaller
🎯 Frame optimization: 8 unique frames used
🎉 Conversion complete!
🧠 Used smart conversion with 0.98 similarity threshold

📊 Traditional vs Smart Conversion

Method Frame Processing File Size Use Case
Traditional Fixed frame rate, all frames Larger High motion videos
🧠 Smart Variable timing, unique frames only Much smaller Static/slow content

Real Example Results:

  • Original: 201 frames @ 24 FPS = 919,944 bytes
  • Smart: 8 unique frames with proper timing = 525,217 bytes
  • Savings: 42.9% smaller file, 96% fewer frames, same visual quality

🔧 Features

  • ✅ Intelligent frame change detection with MSE analysis
  • ✅ Duplicate frame removal with similarity threshold control
  • ✅ Variable frame durations in output WebM
  • ✅ High-quality WebM conversion (VP9 + Opus)
  • ✅ Frame extraction to WebP and AVIF formats
  • ✅ Compression reporting with detailed statistics
  • ✅ Video metadata analysis (dimensions, FPS, frame count)
  • ✅ Error handling with progress feedback
  • ✅ Format validation and warnings

Smart conversion automatically detects videos with minimal real changes and generates optimal WebM files with perfect timing preservation!

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veridock.github.io/mp4svg/

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