Free EXIF Viewer & Image Metadata Privacy Analyzer

When you share photos on social media, messaging apps, or websites, the embedded metadata travels with the image. While some platforms strip EXIF data on upload, many do not — and even those that do may retain the data server-side. Here's what's at risk:

• Location tracking — GPS coordinates in photos can reveal your home address, workplace, children's school, or travel patterns
• Device fingerprinting — Camera serial numbers and unique device identifiers can link photos across platforms to build a profile of you
• Activity timeline — Timestamps create a detailed log of when and where you take photos throughout the day
• Editing history exposure — Software tags, editing timestamps, and embedded thumbnails can reveal what tools you used and what the original uncropped image looked like
• Hidden information — Embedded thumbnails, editing history, and steganographic data can leak information you thought was removed

Our image metadata analyzer runs entirely in your browser — your photos are never uploaded to any server. The EXIF viewer, GPS extraction, and forensic analysis all happen client-side for complete privacy. Only the optional OCR scan uses a cloud API for better accuracy.

Our EXIF viewer and metadata analyzer supports all major image formats: JPEG (JPG), PNG, WebP, HEIC (iPhone photos), HEIF, TIFF, AVIF, BMP, and GIF. HEIC files from iPhones are automatically converted for analysis. The tool reads EXIF, XMP, IPTC, ICC Profile, and JFIF metadata standards.

Most people don't think twice before sharing a photo online. But the hidden data inside that image can be used in ways you'd never expect:

• Stalking and harassment — GPS coordinates in your photos can reveal your home address, daily routine, and the places you visit most. A single photo taken at home is enough for someone to find where you live.
• Doxxing — Combining device info, timestamps, and location data from multiple photos makes it easy to build a detailed profile of someone and expose their identity online.
• Corporate espionage — Photos taken inside offices or factories can leak device serial numbers, software versions, and location data that competitors or bad actors can exploit.
• Insurance and legal investigations — Lawyers and insurance companies routinely check photo metadata to verify when and where images were taken. Metadata can prove — or disprove — claims in court.
• Identity tracking across platforms — Your camera's unique serial number is embedded in every photo you take. Someone can use this to link photos you posted on different platforms back to you, even anonymous ones.

Not all platforms treat your photo metadata the same way. Some strip it on upload, others keep everything. Here's what happens to your EXIF data on popular platforms:

• Instagram — Strips all EXIF and GPS data from uploaded photos
• Facebook — Strips visible metadata but stores it on their servers for internal use
• Twitter / X — Strips EXIF data including GPS on upload
• Discord — Does not strip metadata. Photos shared on Discord keep all EXIF data intact, including GPS coordinates
• WhatsApp — Strips GPS location data but may keep some camera info
• iMessage — Keeps all metadata intact. Photos sent via iMessage contain full EXIF, GPS, and device data
• Email attachments — Keep all metadata. Emailing a photo sends every bit of hidden data along with it
• Reddit — Strips EXIF data on image uploads

The safest approach is to always check and strip metadata before sharing, regardless of the platform. Even platforms that strip data may change their policy, and they often retain the data on their servers even if they remove it from the visible image.

Error Level Analysis — or ELA — is a simple but powerful way to check if a photo has been edited or tampered with. Here's how it works in plain English:

When you save a JPEG photo, the image gets compressed. If you save it again, it gets compressed a second time. The key insight is that parts of the image that have been edited will compress differently than parts that haven't been touched.

ELA works by re-saving the image at a specific quality level and then comparing the "error" — the difference between the original and the re-saved version. In an unedited photo, the error levels are roughly the same across the whole image. But if someone pasted in a face, added an object, or cloned part of the background, those edited areas will show up with noticeably different error levels.

This technique is used by journalists to verify news photos, fact-checkers to spot manipulated images on social media, forensic investigators in legal cases, and content moderators to detect doctored images. Our tool runs ELA right in your browser so you can check any photo instantly.

Note: ELA works best on photos that haven't been re-saved multiple times. Screenshots, images from Canva, or heavily re-compressed images may not show clear results because the entire image has been uniformly compressed.

Steganography is the art of hiding secret information inside an ordinary-looking image. The word comes from Greek, meaning "covered writing." Unlike encryption (which scrambles data so it's unreadable), steganography hides data so you don't even know it's there.

Here's how it works: every pixel in a digital image is stored as a number. A tiny change to that number — like changing the very last digit — is invisible to the human eye but can encode hidden data. By making these tiny tweaks across thousands of pixels, you can hide entire text messages, files, or even other images inside a single photo.

This might sound like something out of a spy movie, but steganography is used more often than you'd think:

• Tracking and watermarking — Companies embed invisible tracking codes in images to identify who leaked a document or photo
• Covert communication — Hidden messages can be embedded in innocent-looking photos shared on public forums
• Malware delivery — Attackers have hidden malicious code inside image files to bypass security scanners
• Copyright protection — Photographers embed invisible watermarks to prove ownership of their images

Our steganography detector analyzes the hidden bits of your image and uses statistical tests to flag anything suspicious. If the pattern of those tiny pixel changes doesn't look random, there might be something hidden inside.

When your camera or phone takes a photo, it often saves a small preview image — called a thumbnail — inside the photo file itself. This thumbnail is used to show quick previews in file browsers and galleries. Sounds harmless, right?

The problem is that this thumbnail is created at the moment the photo is taken, and it doesn't always get updated when you edit the photo. This means:

• If you crop out a person from a photo, the original uncropped image may still be visible in the embedded thumbnail
• If you blur sensitive information like a license plate or address, the thumbnail may still show the unblurred version
• If you edit or retouch a photo, the thumbnail might reveal what the original looked like before your changes

This has caused real privacy incidents — people have shared "cropped" photos online, not realizing the embedded thumbnail still showed the full original image. Our analyzer extracts and displays any embedded thumbnails so you can compare them with the main image and spot any differences before sharing.

Every DSLR and mirrorless camera has a mechanical shutter — a physical curtain that opens and closes each time you take a photo. The shutter count (also called "actuation count") is the total number of times this shutter has fired. Think of it as the odometer on a car.

Why does it matter? Mechanical shutters have a limited lifespan:

• Entry-level DSLRs — typically rated for 100,000–150,000 actuations
• Mid-range cameras — usually rated for 150,000–200,000 actuations
• Professional bodies (Canon 1DX, Nikon D6) — rated for 400,000–500,000 actuations

When buying or selling a used camera, shutter count is the single most important number. A Canon R5 with 10,000 actuations is worth significantly more than one with 200,000. Some cameras embed this count directly in the EXIF metadata of every photo they take — our analyzer extracts it automatically.

Note: Not all cameras store shutter count in accessible EXIF fields. Canon and Nikon DSLRs typically do, while Sony and many mirrorless cameras store it in proprietary MakerNote fields that may require manufacturer-specific software to read. Smartphones do not track shutter count.

Photos can contain several different types of metadata. Here's a quick breakdown of the three main standards:

• EXIF (Exchangeable Image File Format) — The most common type. Added automatically by your camera or phone. Contains technical data like camera model, shutter speed, ISO, GPS location, and timestamps. You can't control what goes in — your device writes it automatically.
• XMP (Extensible Metadata Platform) — Created by Adobe. Used by editing tools like Photoshop, Lightroom, and Canva. Contains editing history, color profiles, and software information. If you've ever edited a photo in any Adobe tool, XMP data is probably embedded.
• IPTC (International Press Telecommunications Council) — Used mainly by photographers, news agencies, and stock photo sites. Contains fields like photographer name, copyright info, captions, and keywords. If you've ever downloaded a stock photo, it likely has IPTC data.

Our analyzer reads all three standards plus ICC color profiles and JFIF headers, giving you a complete picture of everything hidden inside your image file.

Image forensics isn't just for tech experts. A wide range of people rely on metadata analysis and image forensic tools every day:

• Journalists and fact-checkers — Verify whether a news photo is authentic or manipulated before publishing
• Law enforcement — Extract GPS coordinates and timestamps from photos as evidence in investigations
• Insurance investigators — Check if claim photos were actually taken when and where the claimant says
• Content moderators — Detect doctored or misleading images on social platforms
• Photographers — Protect their copyright by checking for unauthorized use and verifying image authenticity
• Privacy-conscious individuals — Anyone who wants to know what personal data they're exposing before sharing photos online