🖼️ Cropify

A powerful and feature-rich image cropping and manipulation library for Node.js, built with TypeScript and powered by @napi-rs/canvas.

Github • Support

Features

🎯 Core Cropping

Precise cropping with x, y, width, height coordinates
Automatic scaling to fit target dimensions
Center cropping for perfect alignment
Legacy support for existing cropify implementations

📐 Advanced Scaling & Positioning

5 Fit modes: cover, contain, fill, inside, outside
9 Position options: center, top, bottom, left, right, top-left, top-right, bottom-left, bottom-right
Smart positioning based on content and target dimensions
Background color support for transparent areas

🎨 Image Filters & Effects

Brightness adjustment (-100 to 100)
Contrast control (-100 to 100)
Saturation modification (-100 to 100)
Blur effect (0 to 20px)
Grayscale conversion
Sepia tone effect
Color inversion
Hue rotation (0 to 360 degrees)

🔶 Advanced Shape Support

Circle cropping
Polygon shapes (3+ sides)
Star shapes (customizable points)
Custom shapes with point coordinates
Rounded rectangles with border radius
SVG path support (planned)

📁 Multiple Output Formats

PNG (lossless)
JPEG with quality control (0-100)
WebP with quality control (0-100)
Progressive JPEG support (planned)

⚡ Performance & Batch Processing

Batch processing multiple images
Thumbnail generation in multiple sizes
Memory efficient processing
Error handling with detailed feedback

📱 Social Media Presets

Instagram: Square (1080x1080), Story (1080x1920), Landscape (1080x566)
Twitter: Header (1500x500), Post (1200x675)
Facebook: Cover (820x312), Post (1200x630)
Thumbnails: Small (150x150), Medium (300x300), Large (600x600)

Installation

npm install cropify

Quick Start

const { cropImage } = require('cropify');
const fs = require('fs');

// Basic cropping
const result = await cropImage({
    imagePath: 'input.jpg',
    width: 800,
    height: 600,
    cropCenter: true
});

fs.writeFileSync('output.png', result);

API Reference

Main Function

`cropImage(options: CropifyOptions)`

Crops and manipulates an image based on the provided options.

Parameters:

options - Configuration object with the following properties:

Basic Options

{
    imagePath: string | Buffer | URL;  // Input image path or buffer
    x?: number;                        // X coordinate (default: 0)
    y?: number;                        // Y coordinate (default: 0)
    width?: number;                    // Output width (default: original)
    height?: number;                   // Output height (default: original)
    borderRadius?: number;             // Rounded corners radius
    circle?: boolean;                  // Circular crop
    cropCenter?: boolean;              // Center the crop
}

Advanced Options

{
    fit?: 'cover' | 'contain' | 'fill' | 'inside' | 'outside';
    position?: 'center' | 'top' | 'bottom' | 'left' | 'right' | 'top-left' | 'top-right' | 'bottom-left' | 'bottom-right';
    background?: string;               // Background color (CSS color)
}

Shape Options

{
    shape?: {
        type: 'rectangle' | 'circle' | 'polygon' | 'star' | 'custom';
        sides?: number;                // For polygon/star (3+)
        points?: Array<{x: number, y: number}>; // For custom shapes (%)
        customPath?: string;           // SVG path (planned)
    }
}

Filter Options

{
    filters?: {
        brightness?: number;           // -100 to 100
        contrast?: number;             // -100 to 100
        saturation?: number;           // -100 to 100
        blur?: number;                 // 0 to 20
        grayscale?: boolean;           // Convert to grayscale
        sepia?: boolean;               // Apply sepia tone
        invert?: boolean;              // Invert colors
        hue?: number;                  // Hue rotation (0-360)
    }
}

Output Options

{
    output?: {
        format?: 'png' | 'jpeg' | 'webp';
        quality?: number;              // 0-100 (JPEG/WebP only)
        progressive?: boolean;         // Progressive JPEG (planned)
        adaptiveQuality?: boolean;     // Adaptive quality (planned)
    }
}

Utility Functions

`cropImages(images: Array<CropifyOptions & { outputPath?: string }>)`

Process multiple images in batch.

`generateThumbnails(imagePath, sizes, baseOptions?)`

Generate multiple thumbnail sizes from a single image.

`presets`

Pre-configured sizes for social media platforms and common use cases.

Usage Examples

Basic Cropping with Filters

const result = await cropImage({
    imagePath: 'photo.jpg',
    width: 800,
    height: 600,
    fit: 'cover',
    position: 'center',
    filters: {
        brightness: 20,
        contrast: 15,
        saturation: -10
    },
    output: {
        format: 'jpeg',
        quality: 85
    }
});

Custom Shapes

// Hexagon
const hexagon = await cropImage({
    imagePath: 'image.jpg',
    width: 400,
    height: 400,
    shape: {
        type: 'polygon',
        sides: 6
    }
});

// Star
const star = await cropImage({
    imagePath: 'image.jpg',
    width: 400,
    height: 400,
    shape: {
        type: 'star',
        sides: 5
    }
});

// Custom diamond shape
const diamond = await cropImage({
    imagePath: 'image.jpg',
    width: 400,
    height: 400,
    shape: {
        type: 'custom',
        points: [
            { x: 50, y: 0 },   // Top
            { x: 100, y: 50 }, // Right
            { x: 50, y: 100 }, // Bottom
            { x: 0, y: 50 }    // Left
        ]
    }
});

Batch Processing

const batchResults = await cropImages([
    {
        imagePath: 'photo1.jpg',
        width: 300,
        height: 300,
        filters: { grayscale: true },
        outputPath: 'gray1.png'
    },
    {
        imagePath: 'photo2.jpg',
        width: 300,
        height: 300,
        circle: true,
        outputPath: 'circle2.png'
    }
]);

batchResults.forEach((result, index) => {
    if (result.success && result.outputPath) {
        fs.writeFileSync(result.outputPath, result.buffer);
    }
});

Generate Thumbnails

const thumbnails = await generateThumbnails(
    'large-image.jpg',
    [
        { width: 150, height: 150, suffix: 'small' },
        { width: 300, height: 300, suffix: 'medium' },
        { width: 600, height: 600, suffix: 'large' }
    ],
    {
        fit: 'cover',
        borderRadius: 10
    }
);

thumbnails.forEach(thumb => {
    if (thumb.success) {
        fs.writeFileSync(`thumb-${thumb.suffix}.png`, thumb.buffer);
    }
});

Social Media Presets

// Instagram square post
const instagramPost = await cropImage({
    imagePath: 'photo.jpg',
    ...presets.instagram.square,
    fit: 'cover',
    filters: {
        brightness: 10,
        saturation: 20
    },
    output: {
        format: 'jpeg',
        quality: 90
    }
});

// Twitter header
const twitterHeader = await cropImage({
    imagePath: 'header.jpg',
    ...presets.twitter.header,
    fit: 'cover',
    position: 'center'
});

Advanced Effects

const artisticImage = await cropImage({
    imagePath: 'portrait.jpg',
    width: 800,
    height: 800,
    fit: 'cover',
    shape: {
        type: 'polygon',
        sides: 8  // Octagon
    },
    filters: {
        brightness: 15,
        contrast: 10,
        saturation: 25,
        hue: 30
    },
    background: '#2c3e50',
    output: {
        format: 'webp',
        quality: 90
    }
});

Fit Modes Explained

cover: Scale image to cover entire area (may crop)
contain: Scale image to fit entirely within area (may have empty space)
fill: Stretch image to fill exact dimensions (may distort)
inside: Like contain, but never upscale
outside: Like cover, but never downscale

Position Options

Control where the image is positioned within the target area:

center: Center the image
top, bottom, left, right: Align to edges
top-left, top-right, bottom-left, bottom-right: Corner alignment

TypeScript Support

Full TypeScript support with comprehensive type definitions:

import { cropImage, CropifyOptions, FilterOptions } from 'cropify';

const options: CropifyOptions = {
    imagePath: 'image.jpg',
    width: 800,
    height: 600,
    filters: {
        brightness: 20
    }
};

Requirements

Node.js 16+
@napi-rs/canvas for high-performance canvas operations

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details.

Detalhes do pacote

cropify

readme (leia-me)