Image Metadata Viewer — Complete Report
View complete EXIF, IPTC, and XMP metadata from any image file with formatted output.
About Image Metadata Viewer
View complete EXIF, IPTC, and XMP metadata from any image file with formatted output.
All parsing happens entirely inside your browser using a pure-JavaScript EXIF/IPTC/XMP/ICC parser. Your file never leaves your device — no upload, no logging, no analytics. Closing the tab erases everything from memory immediately.
Image metadata can include sensitive details such as GPS location, camera serial number, software identifiers, and IPTC author/copyright fields. Reading the metadata is always read-only; if you want to remove or edit it, use the dedicated EXIF Editor or EXIF Remover tools.
Related tools
About Image Metadata Viewer
Image Metadata Viewer is an image tool that runs in your browser. View complete EXIF, IPTC, and XMP metadata from any image file with formatted output. The page you are reading is the same workspace you will use to do the work: pick a file or paste your input, choose the options that matter to you, and the tool produces the result on your device.
The right moment to reach for Image Metadata Viewer is when you have a focused image editing and conversion job that fits inside a browser tab. Open the page, drop in the file or paste your input, choose the options that matter, and the tool returns the result.
Image Metadata Viewer is a static page plus a client-side engine. The browser does the work; there is no separate backend in the loop for the actual processing. That architecture is why the tool starts immediately, why it does not depend on the load on a remote service, and why running multiple jobs in a row does not slow it down.
From a technical standpoint, Image Metadata Viewer is JavaScript and standard browser APIs running in your tab. The browser is the runtime; the page is the interface. Maximum input size: 0 MB per run.
The architecture imposes only the limits the browser itself imposes. The published 0 MB ceiling is conservative; most modern devices comfortably handle inputs up to that size, and the cap exists so the tool degrades gracefully on phones and budget laptops rather than running out of memory.
The heaviest users of Image Metadata Viewer tend to be bloggers preparing hero images, social-media managers sizing posts and students compiling visual reports. Each group brings slightly different expectations to the tool, but the same single-page architecture serves every one of them with the same response time.
The output handed back by Image Metadata Viewer is the output file. If you would prefer to keep the result in the browser instead of downloading it, you can copy it from the result panel and paste it directly into another tab — useful when the next tool in your workflow expects pasted text rather than a file.
Once you have used Image Metadata Viewer, the natural next steps depend on what you are doing with the result. Common follow-ups include Image Metadata Editor, EXIF Data Viewer, and EXIF Data Remover. These are surfaced on the page so you do not have to hunt the catalog manually.
The transformation in Image Metadata Viewer is deterministic — the same input plus the same options produces the same result every run. That predictability matters when the result has to match an upstream specification or be reproducible later.
Some background on the design choices behind Image Metadata Viewer: every option you see on the page is there because a real workflow needs it, and every option that is not shown has been deliberately omitted to keep the common case fast. The bias is toward minimal-but-complete.
Image Metadata Viewer produces deterministic output: the same input plus the same options always produces the same result. That predictability matters when the result has to match an upstream specification or be reproducible later.
Useful patterns when working with Image Metadata Viewer: keep the input file open in another tab so you can compare against the result; give the output file a descriptive name when saving so you can find it later (the default name is sensible but generic); and treat each run as independent — the tool has no concept of "history", which means you cannot accidentally pollute one job with leftovers from another.
If the result is not what you expected, the most common causes are easy to check. Confirm the input is under the 0 MB ceiling — files just above the cap fail silently because the engine refuses to allocate the buffer. Confirm the input is one of the supported formats. And if the page itself feels slow, try closing other heavy tabs to free up memory; the engine runs in your browser, so it competes for the same resources as everything else open.
Open the workspace above to start using Image Metadata Viewer. The engine loads on the first interaction so the page itself stays light, and once the tool is warm it processes subsequent jobs quickly. The moment the page is interactive, the tool is ready to do real work on your file.
How it works
- 1Open the Image Metadata Viewer workspace above. The interface is a single page, so there is nothing to navigate.
- 2Select the image file you want to process — drag-and-drop and the file picker both work.
- 3Tweak the controls if the defaults are not quite right for your input. The options are kept short and labelled in plain language.
- 4Trigger processing. standard browser APIs reads your input, applies the transformation, and writes the result back into the page.
- 5Grab the output as soon as the run completes. You can also copy the result instead of downloading if the next tool in your workflow accepts pasted input.
- 6Run additional jobs as needed. The same controls and defaults apply on every run.
Common use cases
- Crop an image down to the section you actually want to share using Image Metadata Viewer.
- Resize a hero image for a landing page without losing crispness.
- Optimise a product photo so it loads quickly on a slow connection.
- Convert a batch of camera files into web-friendly formats.
- Generate a square thumbnail from a wide marketing photo.
- Apply a quick filter for a social-media post.
- Produce a printable flyer from a single source image.
- Convert a phone screenshot into a CMS-friendly format.
- Compose a mockup banner without bouncing between three different apps.
FAQ
What does this surface beyond EXIF?
Everything exifr can parse: EXIF (camera, lens, exposure, GPS), IPTC (caption, headline, keywords, byline, copyright), XMP packets (XMP XML metadata), ICC colour profile name, JFIF container fields, and basic image stats (dimensions, bit depth, colour space, MIME type, file size).
Why use this over the EXIF Viewer?
The EXIF Viewer focuses purely on the camera/EXIF block, perfect for forensic checks. The Image Metadata Viewer adds IPTC/XMP/ICC parsing — useful for stock photographers, journalists, and DAM workflows where caption/keywords/copyright matter as much as camera settings.
Is GPS shown on a map?
No. We deliberately render coordinates as plain text decimal degrees. Your location stays inside the page until you copy/paste it elsewhere — no third-party map service receives the value.
Why does my screenshot show no metadata?
Operating systems do not embed EXIF in screenshots, and many social platforms (Instagram, Twitter, Telegram, WhatsApp) strip metadata on upload. Original camera files and DSLR exports are where metadata is richest.
Can I export the metadata?
Yes — the "Download as JSON" button saves the entire parsed metadata tree as a structured file for archival, scripting, or sharing forensic info without sharing the source image.
Why is in-browser metadata processing slower than online tools?
Server-side editors run native binaries (ExifTool, libexif) compiled to machine code on dedicated hardware. Our engine uses exifr for parsing and piexifjs for editing, both pure JavaScript libraries running single-threaded inside your browser tab. That's typically 2–5× slower than a backend pipeline. The trade-off is total privacy: your image and its embedded GPS coordinates, camera serials, and other personal metadata never leave your device. The whole point of metadata tools is privacy, and a few extra milliseconds is a fair price to pay for keeping that data on your machine.
Is my image uploaded to a server?
No. exifr parses the file header in your browser memory, and piexifjs writes any changes locally. The processed file is offered as a direct download. Nothing is transmitted, no account is required, and closing the tab discards every byte from memory immediately.
Which image formats are supported?
Reading metadata works on JPEG, PNG, WebP, AVIF, HEIC, TIFF, GIF, and most other formats exifr supports. Editing and removing EXIF tags is fully supported on JPEG (the most common camera format). For PNG/WebP/etc., the remover re-encodes the image through canvas, which strips all embedded metadata as a side effect.
Which metadata fields can I see or edit?
Viewing surfaces all standard EXIF tags (camera make/model, lens, aperture, ISO, shutter speed, focal length), GPS coordinates, IPTC photo metadata (title, caption, keywords, copyright), XMP packets, ICC colour profile info, and JFIF container fields. Editing focuses on the human-readable string tags inside the IFD0 block — title, artist, copyright, description, software — which are the fields most authoring tools respect.
Does editing or removing metadata change the pixels?
No, JPEG metadata edits are byte-level container rewrites that leave the compressed image data untouched. There is zero pixel re-encoding and zero quality loss. For non-JPEG formats the metadata remover does re-encode pixels through a canvas, which strips every embedded tag at the cost of a small re-compression pass.
Which browsers are supported?
Recent Chrome, Edge, Firefox, Safari, and other Chromium-based browsers all work. The tool only relies on standard ArrayBuffer, FileReader, and Canvas APIs that have been universally supported for over a decade.
Is there a watermark or sign-up wall?
No. The tool is completely free, requires no account, attaches no watermark, and shows no popup ads on your output. A small fair-use throttle runs in the background to discourage automated abuse, but it does not affect normal one-off use. The downloaded file is exactly what your browser produced — nothing more, nothing less.
Do I need to install anything to use Image Metadata Viewer?
No installation is needed. Image Metadata Viewer runs as a normal web page, with no browser extension, no native helper, and no separate desktop client to download. That is partly a privacy choice — extensions can request broad permissions, while a regular page is sandboxed by default — and partly a convenience one: you can use Image Metadata Viewer on any computer you have temporary access to without leaving anything installed on it.
Does Image Metadata Viewer need an internet connection to run?
Once the page is loaded, Image Metadata Viewer can complete jobs without an active internet connection — the engine is bundled with the page, so there is no per-job network call. The initial page load does require a connection (to fetch the static assets), but after that you can disconnect entirely and the tool will still work. This is a side-effect of the local-first architecture, not a deliberate "offline mode" feature.
Does Image Metadata Viewer upload my file to a server?
Your file is processed inside your browser by standard browser APIs. The engine reads the file's bytes from your tab's memory, computes the result, and writes the result back into the tab. You can confirm what the page does by opening developer tools and watching the Network tab during a run — the requests you see are for the tool's static assets only.
How accurate is Image Metadata Viewer?
Image Metadata Viewer is built on standard browser APIs, which is the same class of engine used by professional image editing and conversion pipelines. For deterministic operations, the output is byte-identical to what an equivalent CLI run would produce; for operations involving a codec or a model, the result is well within the range of what comparable tools generate. If you have a specific reference output you need to match, run a small test job first to confirm the configuration produces what you expect.
Is there a programmatic version of Image Metadata Viewer?
Image Metadata Viewer is a browser-only tool by design and does not expose a hosted API. The reason is the same as the privacy story: there is no Favtoo backend doing the work, so there is no service to call. If you need to script the same transformation, the underlying engine (standard browser APIs) is open-source and can be used directly from your own code.
Which browsers are supported by Image Metadata Viewer?
Image Metadata Viewer works in any modern browser released in the last few years — Chrome, Edge, Firefox, Safari, Brave, Arc and the major Chromium derivatives are all supported. The underlying engine relies on widely-supported web APIs, so there is nothing exotic to install. If you are on a very old browser version and the tool fails to load, updating to the latest release of your preferred browser is the only fix needed.
Is the source for Image Metadata Viewer available?
Image Metadata Viewer is a static page running an open-source engine in your browser, so a typical corporate firewall does not get in the way as long as it allows JavaScript to load from Favtoo. For teams that need to host it themselves on an internal network, the underlying engine (standard browser APIs) is open-source and can be packaged into a private build with the same behaviour. Reach out via the Contact page if that is something you are exploring.
Are there any restrictions on using Image Metadata Viewer at work?
Image Metadata Viewer can be used for personal and commercial work alike — there is no separate "business" licence to purchase. The output you generate is yours to use however you want, including in client deliverables, internal documents, or commercial products. Favtoo's only ask is fair, individual use; the tool is not designed to be embedded as a backend service or wrapped behind an API for resale.
Does Image Metadata Viewer support batch processing?
Image Metadata Viewer processes one input at a time by design — it keeps memory usage predictable on lower-end devices and makes results easier to verify. To handle a folder, run the tool once per file; the page stays loaded between runs and remembers your last-used settings, so the second run is essentially instant.