🖼️ Image & Icon Size Reducer

Reduce image, ICO, and app icon file sizes for websites and mobile apps. And Webapp developed by App Developer for App Developer. Wish your Good Lucky and Successful

Regular Image Compression

Reduce your image file sizes by 50%, 30%, or 20% while maintaining visual quality. Perfect for optimizing photos, graphics, and web images to improve loading speeds and save storage space.

Click to upload or drag and drop

PNG, JPG, JPEG up to 10MB

Select Compression Level

Crop Image

Crop your image to a centered square area and save it as a new file. Use the slider to choose how much of the image to keep.

Click to upload or drag and drop

PNG, JPG, JPEG up to 10MB

Select Crop Area Size

Drag the corners of the crop box to resize it, and drag inside the box to move it around.

File Format Converter

Convert images between PNG and JPEG formats. PNG supports transparency and lossless compression, while JPEG offers smaller file sizes with lossy compression. Choose the format that best suits your needs.

Click to upload or drag and drop

PNG, JPG, JPEG up to 10MB each (Multiple files supported)

When enabled, files are automatically converted to the opposite format. Disable to manually select format.

Manual Format Selection

Choose the format you want to convert your image to (only used when auto-detect is disabled)

PNG preserves transparency and quality. JPEG reduces file size but may lose some quality.

ICO / Favicon Generator

Generate optimized ICO files with multiple sizes (16x16, 32x32, 48x48, 64x64 pixels) for your website favicons. Perfect for creating professional favicons that work across all browsers and devices.

Click to upload or drag and drop

PNG, JPG, JPEG up to 10MB

ICO Generation Options

Generate optimized ICO file with multiple sizes (16x16, 32x32, 48x48, 64x64)

App Icon Generator

Generate app icons for iOS, Android, and Huawei platforms with all required sizes. Create professional app icons that meet platform specifications and look great on all devices.

Click to upload or drag and drop

PNG, JPG, JPEG up to 10MB (min 1024×1024 recommended)

App Icon Platform

Select your platform for app icon.

Click to Generate App Icons to make your app fantastic.

AI/ML Image Preparation

Resize and optimize images for AI/ML model training and inference. Prepare your images at the correct dimensions for popular AI models including CNNs, Vision Transformers, Stable Diffusion, DALL-E 2, and Midjourney.

Click to upload or drag and drop

PNG, JPG, JPEG up to 10MB

Select AI Model Type

Choose the AI model you're working with to resize images to the correct dimensions for machine learning training and inference. This tool helps you prepare images at the proper size required by your ML model.

Convolutional Neural Networks - Standard size for image classification, object detection, and general computer vision tasks. Most common in ResNet, VGG, and similar architectures.

Convolutional Neural Networks - Alternative standard size offering slightly higher resolution. Used in models requiring more detail preservation.

Vision Transformers (ViT) - Standard input size for transformer-based vision models. Used in models like ViT-Base, ViT-Large for image classification and feature extraction.

Vision Transformers (ViT) - Higher resolution variant for better detail capture. Used in advanced ViT models requiring finer-grained features.

Stable Diffusion v1 - Standard training size for text-to-image generation. Optimal for training, fine-tuning, and inference with SD v1.x models.

Stable Diffusion v2 - Enhanced resolution for higher quality image generation. Standard size for SD v2.x models with improved detail and clarity.

DALL-E 2 - OpenAI's text-to-image model standard size. High-resolution output format for professional-quality image generation and training data preparation.

Midjourney - Standard square format for artistic image generation. Also supports various aspect ratios (1:1, 2:3, 3:2) but 1024×1024 is the base training size.

Images will be resized to the selected model's standard size and optimized for AI/ML processing.