RLE to HEIF Converter

Turn research imagery into HEIF images online for free

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Multi-File Processing

Queue several RLE files at once and convert them all to HEIF simultaneously. Batch mode streamlines repetitive conversion work.

Simple Workflow

Upload RLE, pick HEIF, download the result — the three-step process makes converting legacy formats effortless for anyone.

No Install Required

The entire RLE to HEIF conversion runs in your browser. No desktop software, no plugins — just upload and convert.

How to convert RLE to HEIF

1

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

2

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

3

Let the file convert and you can download your heif 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
HEIF (High Efficiency Image File Format) is a container format for images and image sequences standardized by the Moving Picture Experts Group as ISO/IEC 23008-12, first published in 2015. HEIF is built on the ISO Base Media File Format (ISOBMFF, the same container used for MP4 video), providing a flexible structure that can hold single images, image collections, image sequences (like animations or bursts), and derived images with non-destructive editing operations. The container is codec-agnostic — while the most common implementation pairs HEIF with HEVC/H.265 compression (branded as HEIC by Apple), the standard also accommodates AV1 compression (creating the AVIF variant), H.266/VVC, and other future codecs. HEIF supports features that JPEG lacks: 10-bit and 12-bit color depth, wide color gamuts (Display P3, BT.2020), lossless compression, alpha transparency, depth maps, thumbnail images, and Exif/XMP metadata — all within a single file. Auxiliary image items can store computational photography data like depth maps, HDR gain maps, and semantic segmentation masks. One advantage is the format's future-proof architecture: by separating the container from the codec, HEIF can adopt newer, more efficient compression technologies without changing the file structure, metadata handling, or application-level APIs. The substantial compression improvement over JPEG is another core strength — HEVC-based HEIF typically achieves 40-50% file size reduction compared to JPEG at the same visual quality, beneficial for storage and bandwidth. HEIF is supported by Apple's ecosystem (iOS, macOS), Windows 10/11, Android 10+, GIMP, ImageMagick, and Adobe products.
Initial release: 2015

Frequently Asked Questions

Why convert RLE to HEIF?

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

What programs can open HEIF?

Apple Photos, Windows Photos (with codec), Adobe Lightroom, Photoshop, GIMP, and most modern mobile gallery apps support HEIF.

Is the conversion from RLE to HEIF lossless?

A small amount of data is discarded during lossy HEIF encoding. For everyday viewing and sharing, the quality difference is imperceptible.

How quickly can I convert RLE to HEIF?

Most RLE images convert to HEIF 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?

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

Is RLE the same as RLE-compressed BMP?

No — this refers to the Utah Raster Toolkit RLE format, not BMP with RLE compression. They are distinct formats with different structures.