Convert JXLs to AIs

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What is the JXL format?

JPEG XL image

The JPEG XL (JXL) image format is a next-generation image coding standard that aims to surpass the capabilities of existing formats like JPEG, PNG, and GIF by providing superior compression efficiency, quality, and features. It is the result of a collaborative effort by the Joint Photographic Experts Group (JPEG) committee, which has been instrumental in the development of image compression standards. JPEG XL is designed to be a universal image format that can handle a wide range of use cases, from professional photography to web graphics.

One of the primary goals of JPEG XL is to provide high-quality image compression that can significantly reduce file sizes without compromising visual quality. This is achieved through a combination of advanced compression techniques and a modern coding framework. The format uses a modular approach, allowing it to incorporate various image processing operations such as color space conversions, tone mapping, and responsive resizing directly into the compression pipeline.

JPEG XL is built on the foundation of two previous image codecs: Google's PIK and Cloudinary's FUIF (Free Universal Image Format). These codecs introduced several innovations in image compression, which have been further refined and integrated into JPEG XL. The format is designed to be royalty-free, making it an attractive option for both software developers and content creators who require a cost-effective solution for image storage and distribution.

At the heart of JPEG XL's compression efficiency is its use of a modern entropy coding technique called asymmetric numeral systems (ANS). ANS is a form of arithmetic coding that provides near-optimal compression ratios by efficiently encoding the statistical distribution of image data. This allows JPEG XL to achieve better compression than traditional methods like Huffman coding, which is used in the original JPEG format.

JPEG XL also introduces a new color space called XYB (eXtra Y, Blue-yellow), which is designed to better align with human visual perception. The XYB color space allows for more efficient compression by prioritizing the components of an image that are more important to the human eye. This results in images that not only have smaller file sizes but also exhibit fewer compression artifacts, particularly in areas with subtle color variations.

Another key feature of JPEG XL is its support for high dynamic range (HDR) and wide color gamut (WCG) images. As display technologies evolve, there is an increasing demand for image formats that can handle the extended range of brightness and color that these new displays can produce. JPEG XL's native support for HDR and WCG ensures that images look vibrant and true-to-life on the latest screens, without the need for additional metadata or sidecar files.

JPEG XL is also designed with progressive decoding in mind. This means that an image can be displayed at a lower quality while it is still being downloaded, and the quality can improve progressively as more data becomes available. This feature is particularly useful for web browsing, where users may have varying internet speeds. It allows for a better user experience by providing a preview of the image without having to wait for the entire file to download.

In terms of backward compatibility, JPEG XL offers a unique feature called 'JPEG recompression'. This allows existing JPEG images to be recompressed into JPEG XL format without any additional loss of quality. The recompressed images are not only smaller in size but also retain all the original JPEG data, which means they can be converted back to the original JPEG format if needed. This makes JPEG XL an attractive option for archiving large collections of JPEG images, as it can significantly reduce storage requirements while preserving the ability to revert to the original files.

JPEG XL also addresses the need for responsive images on the web. With its ability to store multiple resolutions of an image within a single file, web developers can serve the most appropriate image size based on the user's device and screen resolution. This eliminates the need for separate image files for different resolutions and simplifies the process of creating responsive web designs.

For professional photographers and graphic designers, JPEG XL supports lossless compression, which ensures that every single bit of the original image data is preserved. This is crucial for applications where image integrity is paramount, such as in medical imaging, digital archives, and professional photo editing. The lossless mode of JPEG XL is also highly efficient, often resulting in smaller file sizes compared to other lossless formats like PNG or TIFF.

JPEG XL's feature set extends to include support for animation, similar to the GIF and WebP formats, but with much better compression and quality. This makes it a suitable replacement for GIFs on the web, providing smoother animations with a wider color palette and without the limitations of GIF's 256-color restriction.

The format also includes robust support for metadata, including EXIF, XMP, and ICC profiles, ensuring that important information about the image is preserved during compression. This metadata can include details such as camera settings, copyright information, and color management data, which are essential for both professional use and the preservation of digital heritage.

Security and privacy are also considered in the design of JPEG XL. The format does not allow for the inclusion of executable code, which reduces the risk of security vulnerabilities that can be exploited through images. Additionally, JPEG XL supports the stripping of sensitive metadata, which can help protect user privacy when sharing images online.

JPEG XL is designed to be future-proof, with a flexible container format that can be extended to support new features and technologies as they emerge. This ensures that the format can adapt to changing requirements and continue to serve as a universal image format for years to come.

In terms of adoption, JPEG XL is still in the early stages, with ongoing efforts to integrate support into web browsers, operating systems, and image editing software. As more platforms adopt the format, it is expected to gain traction as a replacement for older image formats, offering a combination of improved efficiency, quality, and features.

In conclusion, JPEG XL represents a significant advancement in image compression technology. Its combination of high compression efficiency, support for modern imaging features, and backward compatibility positions it as a strong candidate to become the new standard for image storage and transmission. As the format gains wider adoption, it has the potential to transform the way we create, share, and consume digital images, making them more accessible and enjoyable for everyone.

What is the AI format?

Adobe Illustrator CS2

The .AI file format is a proprietary file type developed by Adobe Systems for its vector graphics editor, Adobe Illustrator. This file format is used for storing single-page vector-based drawings in either the EPS or PDF format. The '.ai' extension stands for Adobe Illustrator. The significance of this file format lies in its ability to preserve the layers, paths, text, and other vector graphics components editable, which is crucial for graphic designers and digital artists in their workflow. Unlike raster images that store pictures as a collection of pixels, vector graphics are made up of paths, which are defined by a start and end point, along with other points, lines, and curves, to form shapes and designs. This fundamental difference allows vector images stored in .AI formats to be scaled infinitely without loss of quality, making them ideal for logos, icons, and other designs where scalability and editability are key.

Adobe Illustrator first introduced the AI format in 1987 alongside its initial software launch. Over the years, as Adobe Illustrator has evolved, so too has the AI file format, undergoing several revisions to incorporate new features and compatibility with newer versions of software. A notable advancement in its evolution was the inclusion of PDF compatibility in version 9.0, released in 2000. This development meant that AI files could now be saved in a format readable by Adobe Acrobat and other PDF viewers, significantly enhancing the format's versatility and application beyond the Adobe ecosystem.

The structure of an AI file is designed in a manner that allows it to encapsulate a broad array of graphical information. At its core, an AI file contains a header, which identifies the file format and version, followed by one or more objects that represent the graphical content. These objects can be simple shapes, text, complex paths (bezier curves), or even embedded raster images (for instance, JPEG or PNG files used within the vector design). Additionally, AI files support layers, which allow designers to organize their work into manageable sections that can be independently edited or hidden during the design process.

To maintain compatibility with non-Adobe applications and ensure wider accessibility, AI files incorporate a dual path for file representation. When saved with the 'Create PDF Compatible File' option enabled in Adobe Illustrator, the file saves a complete copy of the artwork in the PDF format embedded within the AI file. This inclusion makes it possible for other applications that do not specifically support the proprietary AI format to open the file as a PDF, providing a more universally accessible means to view the file's contents. Although this setting increases the file size due to the embedded PDF, the benefits of increased compatibility and file accessibility often outweigh the drawbacks.

Editing .AI files typically requires Adobe Illustrator, the primary software designed for its creation and modification. However, due to the format's PDF compatibility, other vector editing software such as CorelDRAW, Inkscape, and Sketch can also open and, to a certain extent, edit .AI files. It's important to note that while these programs can handle basic vector shapes and paths effectively, some of the more advanced features and specific Illustrator functionalities (like certain filters or effects) may not be fully supported across all platforms. Therefore, for comprehensive editing capabilities, Adobe Illustrator remains the recommended software.

The AI file format supports a vast range of graphic creation tools and options within Adobe Illustrator, such as multiple artboards, which allow designers to work on various parts of a project within the same file; gradient meshes, which enable complex color blending; and pattern creation, allowing for intricate pattern designs. These features contribute to the format's robustness and flexibility, providing a comprehensive toolkit for professional graphic design tasks.

In addition to these features, the AI format is also capable of storing metadata within the file, such as author information, copyright notices, and keywords for search optimization. This capability enhances file management and organization, especially in professional settings where tracking the creation and ownership of designs is crucial. The ability to embed ICC (International Color Consortium) profiles also ensures that colors are consistently represented across different devices, an essential attribute for maintaining design integrity in digital media production.

Another pivotal aspect of the AI file format is its support for transparency and blending modes, pivotal in creating complex visual effects within a vector design. These functionalities enable designers to create more nuanced and visually appealing artworks by allowing for the overlapping of objects with varying degrees of opacity and different blending interactions. This feature, along with the support for advanced typography (including kerning, leading, and tracking adjustments), underscores the format's suitability for creating detailed and high-quality graphic designs.

For users concerned with file security and IP protection, AI files offer several features that cater to these needs. Firstly, files can be saved with a password protection feature to restrict unauthorized access. Additionally, there are options for embedding watermarks and using secure layers, further enhancing the measures available for protecting sensitive information embedded within the design files. These features make .AI files particularly appealing for professional environments where securing intellectual property is of utmost importance.

Despite its many benefits, the .AI file format is not without its limitations. The primary concerns among users are related to file size and compatibility. AI files, especially those saved with PDF compatibility and extensive layers and objects, can become significantly large, posing challenges for storage and transfer. Furthermore, while many non-Adobe applications can open .AI files due to the embedded PDF, full editing capabilities are often constrained to Adobe Illustrator, which may not be accessible to all users due to its subscription-based pricing model.

Looking ahead, the future of the .AI file format appears to be closely tied with developments in cloud computing and collaboration tools. Adobe's move towards a cloud-based ecosystem, exemplified by its Creative Cloud suite, suggests an increased emphasis on collaboration, file sharing, and remote access functionalities. The integration of AI files with cloud services could facilitate easier sharing and collaborative editing, making the format even more versatile and suited to modern design workflows.

In conclusion, the .AI file format stands as a cornerstone in the world of graphic design, providing a versatile and robust platform for creating and editing vector-based designs. Its ability to maintain high quality at any scale, coupled with its rich feature set, makes it an indispensable tool for designers. Despite the challenges related to its proprietary nature and file size, the ongoing developments and broader industry support hint at its continued relevance. As technology evolves, so too will the AI file format, adapting to new tools and user needs while retaining its core value as a key asset in the design and digital art space.

Supported formats

AAI.aai

AAI Dune image

AI.ai

Adobe Illustrator CS2

AVIF.avif

AV1 Image File Format

AVS.avs

AVS X image

BAYER.bayer

Raw Bayer Image

BMP.bmp

Microsoft Windows bitmap image

CIN.cin

Cineon Image File

CLIP.clip

Image Clip Mask

CMYK.cmyk

Raw cyan, magenta, yellow, and black samples

CMYKA.cmyka

Raw cyan, magenta, yellow, black, and alpha samples

CUR.cur

Microsoft icon

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

EPDF.epdf

Encapsulated Portable Document Format

EPI.epi

Adobe Encapsulated PostScript Interchange format

EPS.eps

Adobe Encapsulated PostScript

EPSF.epsf

Adobe Encapsulated PostScript

EPSI.epsi

Adobe Encapsulated PostScript Interchange format

EPT.ept

Encapsulated PostScript with TIFF preview

EPT2.ept2

Encapsulated PostScript Level II with TIFF preview

EXR.exr

High dynamic-range (HDR) image

FARBFELD.ff

Farbfeld

FF.ff

Farbfeld

FITS.fits

Flexible Image Transport System

GIF.gif

CompuServe graphics interchange format

GIF87.gif87

CompuServe graphics interchange format (version 87a)

GROUP4.group4

Raw CCITT Group4

HDR.hdr

High Dynamic Range image

HRZ.hrz

Slow Scan TeleVision

ICO.ico

Microsoft icon

ICON.icon

Microsoft icon

IPL.ipl

IP2 Location Image

J2C.j2c

JPEG-2000 codestream

J2K.j2k

JPEG-2000 codestream

JNG.jng

JPEG Network Graphics

JP2.jp2

JPEG-2000 File Format Syntax

JPC.jpc

JPEG-2000 codestream

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

MAP.map

Multi-resolution Seamless Image Database (MrSID)

MAT.mat

MATLAB level 5 image format

PAL.pal

Palm pixmap

PALM.palm

Palm pixmap

PAM.pam

Common 2-dimensional bitmap format

PBM.pbm

Portable bitmap format (black and white)

PCD.pcd

Photo CD

PCDS.pcds

Photo CD

PCT.pct

Apple Macintosh QuickDraw/PICT

PCX.pcx

ZSoft IBM PC Paintbrush

PDB.pdb

Palm Database ImageViewer Format

PDF.pdf

Portable Document Format

PDFA.pdfa

Portable Document Archive Format

PFM.pfm

Portable float format

PGM.pgm

Portable graymap format (gray scale)

PGX.pgx

JPEG 2000 uncompressed format

PICON.picon

Personal Icon

PICT.pict

Apple Macintosh QuickDraw/PICT

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)

PS.ps

Adobe PostScript file

PSB.psb

Adobe Large Document Format

PSD.psd

Adobe Photoshop bitmap

RGB.rgb

Raw red, green, and blue samples

RGBA.rgba

Raw red, green, blue, and alpha samples

RGBO.rgbo

Raw red, green, blue, and opacity samples

SIX.six

DEC SIXEL Graphics Format

SUN.sun

Sun Rasterfile

SVG.svg

Scalable Vector Graphics

SVGZ.svgz

Compressed Scalable Vector Graphics

TIFF.tiff

Tagged Image File Format

VDA.vda

Truevision Targa image

VIPS.vips

VIPS image

WBMP.wbmp

Wireless Bitmap (level 0) image

WEBP.webp

WebP Image Format

YUV.yuv

CCIR 601 4:1:1 or 4:2:2

Frequently asked questions

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What file types can I convert?

We support converting between all image formats, including JPEG, PNG, GIF, WebP, SVG, BMP, TIFF, and more.

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