Online VIFF converter
Choose file to convert
Changing your images and photos into viff format is a breeze and completely cost-free, thanks to our online converter.
How to convert a viff file?
Step 1
Upload an-file
You can select the file you wish to convert from your computer, Google Drive, Dropbox or just drag and drop it onto the page.
Step 2
Select «to viff»
Choose viff or any other of the 200+ supported formats that you wish to convert to.
Step 3
Download your viff file
Please wait for the conversion to be completed, then click on the download button to get your converted file in the viff format.
Best viff converter tool
Converting viff is fast and easy
Just drag and drop your viff files onto the webpage, and you'll have the capability to convert them over 250 different file formats, all without the need to register, provide an email address, or include a watermark.
Safe viff Conversion
Immediately upon uploading your viff files, we delete them without delay. Converted files are then removed after 24 hours. Additionally, we ensure that all file transfers are secure through advanced SSL encryption.
No Software Installation Required
There's no need to go through the inconvenience of installing any software. We conveniently handle all viff to {format2} conversions in the cloud, which implies that none of your computer's resources will be consumed in the process.
| Extension | .viff |
| Category | 🔵 images |
| Description | 🔵 VIFF (Visualization Image File Format) is an uncompressed file format for storing 2D and 3D images. It was developed at the Danish Technical University and is commonly used in scientific and engineering applications. VIFF can store images with up to four channels (red, green, blue, and alpha) and can be used to store images in both grayscale and color modes. The file format is designed to be platform-independent and can be used on any operating system. |
| Technical details | 🔵 VIFF files consist of a header section and an image data section. The header contains information about the image, such as its dimensions, the number of channels, and the data type used to store the pixel values. The image data section contains the actual pixel data. VIFF supports several data types for pixel values, including unsigned and signed integers of various sizes, as well as floating-point values. This allows for high precision when working with images in scientific and engineering applications. VIFF also supports a number of compression algorithms, including Run Length Encoding (RLE) and Huffman encoding, which can be used to reduce the size of VIFF files. |