JPEG to JXL Converter: Lossless Re-Encode in Browser

Convert JPEG to JPEG XL (.jxl) locally in your browser. Lossless re-encode of the decoded pixels, no uploads, no server, no sign-up.

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How It Works

JPEG XL came out of the same ISO working group that standardized JPEG, and it was built partly as an exit ramp from a format that has been the web's default photo codec since the early 1990s. This converter takes a finished .jpg and writes a .jxl, encoding the picture losslessly so the output decodes to the same pixels you started with. The mechanics are specific to how the browser handles each format. Your JPEG is decoded to a pixel grid by the browser's native decoder, drawn to an off-screen canvas with image smoothing disabled, then read back as raw RGB and handed to the @jsquash/jxl WebAssembly encoder with lossless mode on. Because it works from the decoded RGB buffer rather than the original DCT coefficients, this is a pixel-faithful re-encode, not JXL's bit-exact JPEG recompression mode. The pixels are preserved; the original JPEG container, its EXIF tags, and its color profile are not carried over. If a file trips up the lossless path, the encoder retries at quality 0.99 with high effort rather than failing outright. One honest caveat: lossless coding of photographic RGB is expensive, so a .jxl produced this way is often similar in size to the source JPEG and can be larger, especially for noisy or heavily detailed photos. You gain a modern codec and guaranteed pixel fidelity, not a guaranteed smaller file. Everything runs in your tab via WebAssembly, so the image never leaves your machine, which is what you want when the JPEGs are IDs, receipts, or anything you would not drop into a random upload form.

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Convert toJXL

Key Features

  • No file uploads required - works offline
  • 100% privacy focused - client-side processing
  • Browser powered - no software installation
  • Fast processing - WebAssembly technology
  • Free forever - no premium accounts

Supported File Formats

.jpg .jpeg

Output Format: JXL

Technical Specifications

input Format JPEG (.jpg, .jpeg), baseline or progressive
output Format JPEG XL (.jxl)
compression Type Lossless JXL encoding of the decoded RGB pixels; high-quality lossy (quality 0.99, effort 8) fallback if the lossless path fails
quality Retention Pixel-identical to the decoded source JPEG; no second-generation loss added
color Space Support 8-bit sRGB / RGB, opaque; source EXIF and ICC profile are not carried over
max Resolution Limited only by your device's memory (100 MB file cap)
processing Time Instant, runs in your browser

Key Benefits

  • Pixel-lossless output: the .jxl decodes to the same pixels as your JPEG
  • No new compression artifacts stacked on the original JPEG
  • Runs entirely in your browser, with no uploads and no server
  • Works offline once the page has loaded
  • Lets you test JPEG XL encoding on real images before adopting it
  • No file limits per session, no watermark, no sign-up

Common Use Cases

  • Trying JPEG XL on your own photos to judge quality and file size firsthand
  • Producing pixel-lossless .jxl reference images for an app or pipeline that already decodes JXL
  • Generating test assets while evaluating whether to adopt JXL in a workflow
  • Converting images for a viewer or environment you fully control
  • Keeping a modern-codec copy of photos for archival where you manage the decoder
  • Converting sensitive scans locally without sending them to any upload service

Pro Tips

  • Keep the original JPEG: .jxl playback is still patchy and EXIF plus color profile are dropped on re-encode
  • Compare output and source sizes on a sample first, since lossless re-encode can produce a larger file
  • If your real goal is smaller files rather than exact pixels, use a lossy AVIF or WebP converter instead
  • Convert very large images on a desktop so RAM, not the codec, isn't the bottleneck
  • To eventually use alpha or HDR, start from a source that has them; a JPEG never will

Frequently Asked Questions

Yes, at the pixel level. The encoder runs in lossless mode and the .jxl decodes to the exact RGB pixels of your decoded JPEG, so no new compression artifacts are introduced. It cannot remove artifacts already baked into the original JPEG, but it will not add any.
Not necessarily. This tool does a lossless re-encode from the decoded pixels, and lossless coding of photographic data is costly, so the .jxl is often about the same size as the source and can be larger for noisy or highly detailed images. If shrinking files is your only goal, a lossy AVIF or WebP will cut size more, at the cost of new artifacts.
JXL has a special mode that losslessly repacks the JPEG's existing DCT data, typically around 20 percent smaller and fully reversible back to the identical JPEG. This converter instead decodes to RGB and re-encodes from pixels, which guarantees identical pixels but does not reproduce the original JPEG bytes or its size win. The output is a normal pixel-lossless .jxl, not a reversible JPEG package.
Often not without help. Native JPEG XL support is inconsistent across mainstream browsers and OS image viewers, so .jxl works best when you control the viewer, such as a JXL-aware desktop tool or an app you build. For sending a file to someone today, a widely supported format is safer.
No. JPEG decoding and JXL encoding both run locally through WebAssembly in your browser tab. Nothing is sent to a server, there is no account, and there is no file to delete afterward because none was ever uploaded.
No. The converter re-encodes from decoded pixel data, so embedded EXIF (camera, GPS, timestamps) and the ICC color profile are not written into the .jxl. Keep the original JPEG if you need that metadata, and be aware that without the source profile, color is treated as standard sRGB.
There is nothing to preserve. JPEG has no alpha channel and no HDR, and this tool decodes it as opaque 8-bit color, so the .jxl is a standard 8-bit sRGB image. The JXL format supports alpha and higher bit depth, but a JPEG source provides neither.
Files are capped at 100 MB each, and the real ceiling is your device's RAM, since the whole image is decoded into memory before encoding. A large panorama may stall on a low-memory phone while a desktop handles it without trouble.