ExifScrub - Scrub hidden EXIF data and GPS coordinates locally

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Protect your digital privacy. Learn about photo metadata and securely view, scrub, and remove hidden EXIF data like GPS coordinates directly in your browser.

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I built this tool because I noticed a critical vulnerability in everyday internet usage: people are inadvertently broadcasting their exact home addresses and routines by posting photos loaded with hidden EXIF data. While there are desktop tools to fix this, most web-based metadata removers require you to upload your sensitive photos to a remote server. Handing over your files to protect your privacy felt completely backwards. ExifScrub solves this by running a 100% client-side architecture. By utilizing the HTML Canvas API, it processes everything locally right in your browser tab. Your images never leave your device, ensuring zero risk of data interception. Here is what you can do with it today: Deep Scanning: Inspect exact GPS coordinates, timestamps, and hardware tags before wiping them. 1-Click Sanitization: Permanently strip all personally identifiable metadata from your images instantly. Batch Optimization: Scrub, resize, and compress multiple images simultaneously, then download them as a single local ZIP archive. The tool is completely free with no accounts required. I will be hanging out in the comments all day and would love to hear your feedback on the tool or answer any questions!
Which Vercel product did you use? What new capability did it give your team, and how did that shape the product you launched?
I used Vercel Frontend Hosting and the global Edge Network. Because ExifScrub is a privacy-first metadata remover, it was absolutely critical that users' sensitive photos never touch a backend server. Vercel gave me the capability to deploy a blazing-fast, 100% client-side React application with zero server-side logic required. This entirely shaped the architecture of ExifScrub—Vercel delivers the static app instantly to anyone in the world, allowing all the EXIF stripping and heavy image processing to happen safely and locally on the user's own device.