Struggling to choose between FastStone Photo Resizer and SmallImage? Both products offer unique advantages, making it a tough decision.
FastStone Photo Resizer is a Photos & Graphics solution with tags like photo, image, resize, batch, convert, rotate, watermark, adjust.
It boasts features such as Batch resize photos, Convert images between formats (JPG, PNG, BMP, TIF, etc), Rotate and flip images, Add text and image watermarks, Adjust brightness, contrast, saturation, etc, Crop images, Rename photos in batch, EXIF data viewer and editor, Lossless rotation of JPG images, Create contact sheets, Convert images to PDF and pros including Free for personal and educational use, Simple and intuitive interface, Powerful batch processing capabilities, Supports many image formats, Lots of resize options and effects, Fast processing speed, Lightweight program.
On the other hand, SmallImage is a Photos & Graphics product tagged with image, optimization, compression, developer-tool.
Its standout features include Lossless image compression, Batch optimization of multiple images, Easy-to-use interface, Open-source software, and it shines with pros like Reduces image file sizes without losing quality, Speeds up website load times, Free and open-source.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
FastStone Photo Resizer is a powerful and easy-to-use photo resizing software. It allows batch conversion and renaming of photos, resizing, rotation, color adjustments, watermarks, and more. Useful for photographers and web designers to prepare images for websites and other uses.
SmallImage is an open-source image optimization tool for web developers. It provides lossless compression to reduce image file sizes without losing quality, speeding up website load times. The easy-to-use interface allows batch optimization of multiple images.