RLE to VIFF Converter

Transform RLE images into lossless VIFF online

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Any Device Works

Convert RLE to VIFF from a desktop, laptop, tablet, or phone. Any device with a modern browser and internet connection works.

File Privacy First

Uploaded RLE images and converted VIFF results are automatically purged — originals immediately, outputs within 24 hours.

Academic Archive

Preserve pioneering computer graphics imagery by converting RLE rasters to VIFF — accessible to researchers and historians alike.

How to convert RLE to VIFF

1

Select files from Computer, Google Drive, Dropbox, URL or by dragging it on the page.

2

Choose viff or any other format you need as a result (more than 200 formats supported)

3

Let the file convert and you can download your viff file right afterwards

About formats

RLE (Run-Length Encoded) in the context of the Utah RLE format refers to a raster image file format developed by Spencer W. Thomas at the University of Utah's Computer Science Department around 1983, as part of the Utah Raster Toolkit. The format stores images using a scanline-oriented run-length encoding scheme that compresses sequences of identical pixel values into count-value pairs, achieving good compression ratios for images with large areas of solid color — typical of computer-generated graphics and rendered scenes common in computer science research at the time. Utah RLE supports 1 to 255 color channels per pixel, with 8 bits per channel, and includes a header specifying image dimensions, number of channels, background color, and an optional color map. The format accommodates alpha channel data as an additional channel, and empty scanlines (matching the background color) can be omitted entirely for further compression. The Utah Raster Toolkit provided a suite of Unix command-line tools for manipulating RLE images — operations like compositing, scaling, rotating, color manipulation, and format conversion — establishing a software paradigm later echoed by Netpbm and ImageMagick. One advantage is the format's foundational role in computer graphics: the Utah Raster Toolkit and its RLE format emerged from the same research environment that produced the Phong shading model, Gouraud shading, and the teapot — and much of the early computer graphics research output was stored in this format. The format is supported by ImageMagick, GIMP, and various legacy graphics tools.
Initial release: 1983
VIFF (Visualization Image File Format) is a scientific image format developed by Khoral Research (originally at the University of New Mexico), first appearing around 1990 with the Khoros visual programming environment for image processing and data visualization. VIFF files use a 1024-byte header followed by optional color map data, and the image data itself, with the header containing detailed specifications: data storage type (bit, byte, short, integer, float, double, complex), data encoding (none, CCITT Group 3/4), color space model (none, generic, RGB, HSI, CMYK, and others), and support for multi-band (multi-channel) images with arbitrary numbers of bands. The format accommodates one-dimensional signals, two-dimensional images, three-dimensional volumes, and location data (sparse pixel coordinates), making it versatile beyond simple image storage. VIFF was designed for the Khoros/VisiQuest visual dataflow programming environment, where users constructed image processing pipelines by connecting processing nodes in a graphical canvas — an approach that influenced later systems like AVS, MATLAB Simulink, and LabVIEW. One advantage is scientific data fidelity: VIFF supports the full range of numeric types used in scientific computing (including complex numbers and double-precision floats), stores multi-band datasets natively, and carries calibration metadata — making it suitable for remote sensing, medical imaging, and spectral analysis applications where generic image formats lose information. The format's connection to the Khoros visual programming paradigm provides another notable dimension — VIFF was the standard I/O format for one of the most influential early visual programming environments for scientific image analysis. VIFF files can be read by ImageMagick and legacy Khoros/VisiQuest installations.
Developer: Khoral Research
Initial release: 1990

Frequently Asked Questions

Why convert RLE to VIFF?

RLE raster images from the Utah toolkit are hard to open today. A VIFF conversion unlocks them for modern viewers and editing software.

What programs can open VIFF?

Khoros/VisiQuest visualization software opens VIFF natively. ImageMagick and XnView can also import VIFF image data files.

Will I lose image quality converting RLE to VIFF?

The conversion keeps your image data intact — VIFF does not introduce compression artifacts, ensuring the output matches the original closely.

Is RLE to VIFF conversion fast?

Conversion is handled on cloud servers and usually completes in a few seconds. Larger or higher-resolution RLE images may take slightly longer.

Can I convert multiple RLE images at once?

Batch conversion is supported. Queue as many RLE files as you need and convert them all to VIFF in a single run — no repeating steps manually.

Can I convert old CG research imagery?

Yes — if your files are in Utah RLE format, upload them to Convertio and convert to VIFF for modern viewing and analysis.