View HEICs

Processing stays in your browser and handles one image or frame. Animation, editable vectors and layers are not preserved. First use downloads the engine; large files may exceed available memory.

Drag and drop or click to select.

Private and secure

Everything happens in your browser. Your files never touch our servers.

What is the HEIC format?

High Efficiency Image Container

The High Efficiency Image File Format (HEIC) represents a significant advancement in the realm of digital imagery, offering superior compression without compromising on quality. Developed by the Moving Picture Experts Group (MPEG), it is part of the MPEG-H media suite and leverages the High Efficiency Video Compression (HEVC) standard, also known as H.265. HEIC was designed with the dual goals of reducing file size and enhancing image quality, addressing the growing demand for efficient storage and sharing of high-resolution photos and images in our digital age.

One of the primary advantages of HEIC is its ability to compress photos up to twice as efficiently as its predecessor, the widely used JPEG format. This efficiency does not come at the cost of quality; HEIC images maintain a high level of detail and dynamic range, making them suitable for a wide range of applications, from professional photography to everyday use. The format supports 16-bit color, compared to JPEG's 8-bit, allowing for a richer and more accurate representation of colors.

HEIC also introduces several features that set it apart from other image formats. One such feature is the ability to store multiple images in a single file, which can be used for creating photo bursts, sequences, or storing different versions of a photo. Additionally, HEIC files can contain auxiliary information like depth maps, which are useful for advanced editing techniques such as bokeh effects in portrait photos. The format also supports transparency, making it a viable option for graphic designers who require this feature for overlay effects.

The compression mechanism of HEIC is based on the HEVC video compression technique but tailored for static images. This involves dividing the image into blocks and compressing these blocks through advanced prediction and coding strategies. The process employs both intra-frame (within the same image) and inter-frame (across multiple images in the same file) compression techniques, enabling not only efficient compression of individual photos but also of sequences where successive images have minor differences.

Despite its advantages, the adoption of HEIC has faced challenges. One significant hurdle is compatibility. When HEIC was first introduced, support across operating systems and software was limited. Although this has improved over time, with major platforms like Windows 10 and macOS High Sierra offering native support, there are still many devices and applications that do not yet fully accommodate the format. This is gradually changing as the benefits of HEIC become more widely recognized and as software developers update their applications to handle the format.

Another challenge is related to intellectual property rights. Since HEIC is based on the HEVC compression standard, its use is subject to licensing fees administered by the HEVC Advance patent pool. This has led some manufacturers and software providers to be cautious about adopting the format, due to concerns over potential costs. However, as HEVC becomes more ubiquitous and essential for video as well as still images, the pressure to support HEIC even amid licensing requirements has grown.

For users, the transition to HEIC can also pose practical hurdles. While HEIC files are smaller and of higher quality, not all web platforms and social media sites support the uploading of HEIC files directly. This necessitates conversion to more universally accepted formats like JPEG, potentially diminishing some of the advantages of HEIC in terms of file size and quality. However, as awareness and support for the format increase, it is likely that broader direct support will follow, reducing the need for conversion.

In terms of software support, a variety of tools and libraries have emerged to facilitate working with HEIC files. Image processing software, such as Adobe Photoshop, has incorporated HEIC support, enabling professionals and hobbyists alike to edit HEIC images directly. Additionally, libraries like libheif offer developers the tools to add HEIC support to their applications, ensuring that more software can handle the format natively without requiring users to convert their images.

Looking to the future, HEIC is poised to play a crucial role in the evolution of imaging technology. As devices capture images at ever-higher resolutions and as the demand for efficient storage solutions grows, the advantages of HEIC will become increasingly important. This is particularly true for mobile devices, where storage space is at a premium. By significantly reducing file sizes while preserving, or even enhancing, image quality, HEIC offers a way to manage the deluge of digital imagery more effectively.

Moreover, the advanced features of HEIC, such as the ability to include depth information and support for sequences and bursts, open up new possibilities for creative photography and advanced image processing. These features, combined with ongoing improvements in device capabilities, will likely lead to innovative applications that leverage HEIC's strengths to provide users with new ways to capture and interact with images.

However, the full potential of HEIC will only be realized with wider support across the ecosystem of devices and platforms. Increased compatibility will not only make it easier for users to share and enjoy high-quality images but will also encourage more creative and efficient use of digital photography. As such, efforts by industry players to resolve compatibility issues and intellectual property concerns will be crucial in determining the future success of the HEIC format.

In conclusion, HEIC stands as a significant innovation in digital imaging, offering a compelling blend of high efficiency and high quality. Its advantages over traditional formats like JPEG are clear, including better compression, higher quality images, and support for advanced features. However, the journey towards widespread adoption and maximization of its potential involves overcoming challenges related to compatibility, licensing, and user behavior. As these hurdles are addressed, HEIC is likely to become an increasingly important format in the digital imaging landscape, changing the way we think about and work with images.

Supported formats

AVIF.avif

AV1 Image File Format

BMP.bmp

Microsoft Windows bitmap image

CIN.cin

Cineon Image File

CLIP.clip

Image Clip Mask

DCX.dcx

ZSoft IBM PC multi-page Paintbrush

DDS.dds

Microsoft DirectDraw Surface

DPX.dpx

SMTPE 268M-2003 (DPX 2.0) image

DXT1.dxt1

Microsoft DirectDraw Surface

EXR.exr

High dynamic-range (HDR) image

FF.ff

Farbfeld

FITS.fits

Flexible Image Transport System

GIF.gif

CompuServe graphics interchange format

HDR.hdr

High Dynamic Range image

HEIC.heic

High Efficiency Image Container

J2C.j2c

JPEG-2000 codestream

J2K.j2k

JPEG-2000 codestream

JNG.jng

JPEG Network Graphics

JP2.jp2

JPEG-2000 File Format Syntax

JPE.jpe

Joint Photographic Experts Group JFIF format

JPEG.jpeg

Joint Photographic Experts Group JFIF format

JPG.jpg

Joint Photographic Experts Group JFIF format

JPM.jpm

JPEG-2000 File Format Syntax

JPS.jps

Joint Photographic Experts Group JPS format

JPT.jpt

JPEG-2000 File Format Syntax

JXL.jxl

JPEG XL image

MAT.mat

MATLAB level 5 image format

PAM.pam

Common 2-dimensional bitmap format

PBM.pbm

Portable bitmap format (black and white)

PCD.pcd

Photo CD

PCX.pcx

ZSoft IBM PC Paintbrush

PDB.pdb

Palm Database ImageViewer Format

PFM.pfm

Portable float format

PGM.pgm

Portable graymap format (gray scale)

PGX.pgx

JPEG 2000 uncompressed format

PJPEG.pjpeg

Joint Photographic Experts Group JFIF format

PNG.png

Portable Network Graphics

PNG00.png00

PNG inheriting bit-depth, color-type from original image

PNG24.png24

Opaque or binary transparent 24-bit RGB (zlib 1.2.11)

PNG32.png32

Opaque or binary transparent 32-bit RGBA

PNG48.png48

Opaque or binary transparent 48-bit RGB

PNG64.png64

Opaque or binary transparent 64-bit RGBA

PNG8.png8

Opaque or binary transparent 8-bit indexed

PNM.pnm

Portable anymap

PPM.ppm

Portable pixmap format (color)

PSB.psb

Adobe Large Document Format

PSD.psd

Adobe Photoshop bitmap

SUN.sun

Sun Rasterfile

TIFF.tiff

Tagged Image File Format

VIPS.vips

VIPS image

WEBP.webp

WebP Image Format

Frequently Asked Questions

How does this work?

This converter runs entirely in your browser. When you select a file, it is read into memory and converted to the selected format. You can then download the converted file.

What happens to my files?

Your files are never uploaded to our servers. They are converted in your browser, and the converted file is then downloaded. We never see your files.

How much does this cost?

This converter is completely free, and will always be free. Because it runs in your browser, we don't have to pay for servers, so we don't need to charge you.