RLE to HDR Converter

Turn RLE raster data into HDR images for free online

Drop files here. 1 GB maximum file size or Sign Up
to
Facebook Amazon Microsoft Tesla Nestle Walmart L'Oreal

Cross-Platform Access

Whether you are on Windows, macOS, Linux, or mobile — RLE to HDR conversion is available from any connected device.

Academic Archive

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

Browser-Based Tool

No downloads or plugins needed — convert RLE to HDR directly in your web browser on any operating system or device.

How to convert RLE to HDR

1

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

2

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

3

Let the file convert and you can download your hdr 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
HDR (also known as RGBE or Radiance HDR) is a high-dynamic-range image format created by Greg Ward Larson as part of the Radiance lighting simulation system, developed at Lawrence Berkeley National Laboratory starting in 1985 with the HDR format emerging around 1989. The format stores floating-point RGB pixel values using a compact 32-bit-per-pixel encoding called RGBE (Red, Green, Blue, Exponent): three 8-bit mantissa bytes share a single 8-bit exponent, representing luminance values across a range of roughly 76 orders of magnitude while keeping file sizes comparable to standard 24-bit images. HDR files begin with a text header containing rendering and exposure metadata, followed by the RGBE pixel data compressed with a scanline-oriented run-length encoding scheme. The format captures the full luminance range of real-world scenes — from deep shadows to direct sunlight — enabling physically accurate lighting calculations, tone mapping to different display conditions, and post-capture exposure adjustment without the clipping artifacts inherent in 8-bit formats. One advantage is the format's foundational role in HDR imaging: Radiance HDR pioneered the concept of storing real-world luminance values in image files, and the .hdr format became the standard for light probe images and environment maps used in image-based lighting across the 3D rendering industry. The format's compact encoding is another practical strength — the RGBE scheme provides far more dynamic range than 8-bit formats while using only 33% more storage per pixel, a favorable tradeoff that made HDR practical on storage-limited systems of the late 1980s. HDR files are supported by Photoshop, GIMP, ImageMagick, Blender, and all major 3D renderers.
Developer: Greg Ward Larson
Initial release: 1989

Frequently Asked Questions

Why convert RLE to HDR?

Utah RLE is an academic format with very limited tool support. Converting to HDR ensures your computer graphics research data remains accessible.

What programs can open HDR?

Photoshop, GIMP, Blender, Luminance HDR, and most HDR tone-mapping tools open Radiance HDR images for editing and display.

How accurate is RLE to HDR conversion?

Since HDR supports lossless storage, the pixel data carries over without degradation. The result faithfully represents the source RLE image.

How quickly can I convert RLE to HDR?

Most RLE images convert to HDR within seconds. The exact time depends on the resolution and complexity of the source, but it is typically quick.

Can I convert multiple RLE images at once?

Absolutely. Add several RLE images at once, set HDR as the output, and the converter processes them all in parallel for maximum efficiency.