Metadata remover ai

Metadata remover ai

Free image metadata remover

Coming soonLaunches Monday, Oct 5 · in 33 days

Productivity

About

What an image metadata remover actually does.

Every photo is two things at once: a picture, and a written record of the circumstances in which it was made. An image metadata remover deletes the second part and leaves the first alone. That record is stored in three overlapping standards — EXIF, IPTC and XMP — and between them they hold your GPS coordinates, your camera's serial number, the exact second of capture, the software you edited with, and very often your name.

None of it is visible when you look at the image. All of it travels with the file when you email it, message it, or hand it to a client.

A free online image metadata remover that doesn't upload anything

This is an online image metadata remover in the literal sense: it lives at a web address and there is nothing to install. It is not, however, an upload service. There is no endpoint that receives your photo. Every byte is read, parsed and rewritten by code running inside your own browser.

That distinction has practical consequences. There is no file size cap, because there is no upload to time out. There is no queue, because there is no shared server. And there is no retention policy for you to take on trust, because we never receive a file to retain. You can confirm all of this yourself: open your browser's Network tab and clean an image — you will see no requests. Install the site and switch off your network, and it still works.

What your photos are actually carrying

The fields worth caring about, roughly in order of how much they give away:

  • GPS coordinates. Latitude, longitude and usually altitude, accurate to a few metres, often with the compass bearing the camera was facing. This does not tell someone your city. It tells them which building, and roughly which floor.
  • Device and lens serial numbers. Unique identifiers written into every frame that camera produces — a durable link between every photo you have ever taken, even across accounts with nothing else in common.
  • The embedded thumbnail. Cameras store a small preview inside the EXIF block. Some editors regenerate it after you edit; many do not. If you cropped someone out and the thumbnail was not refreshed, the original framing is still in the file.
  • Names and copyright. Editing software asks for your name once during setup and then writes it into everything you export.
  • Edit history. XMP records a document identifier that survives saving, plus a chain of which applications touched the file and when.

Lossless removal, which is the part most tools get wrong

There are two ways to build a metadata remover. The easy way is to draw the image onto a canvas and export it — three lines of code, and the metadata disappears because canvas has no concept of metadata. It also decodes and re-encodes your photo, so what you get back is a re-compression of your original rather than your original with the tags removed. Do it twice and the loss compounds.

The harder way is to understand the file format. Image containers keep the compressed picture and the metadata in separate places, so if you can read the structure you can remove one without touching the other. That is what this tool does, with a dedicated parser for each format: JPEG marker segments, PNG chunks, WebP RIFF chunks, TIFF directories, and the ISO box structure behind HEIC, AVIF, MP4 and MOV.

The result is that cleaning a file costs you nothing. After every removal the finished file is parsed again from scratch to list anything remaining, and both files are decoded so every pixel can be compared against the original. When the tool reports zero pixels changed, that is a measurement taken on your machine, not a claim.

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Joined Sep 2026

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What other founders did to grow.

2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

Pricing
The idea is to show different prices to different users based on their intent level. Someone who came from a targeted ad and just went through your full onboarding is much more likely to convert at a higher price than someone who opened the app cold for the first time.

Intent-based pricing: show each user the price matching their current demand level

Moore describes intent-based pricing as a natural extension of dynamic paywalls: the same app can show a $14.99/month price to a high-intent user (came from paid acquisition, completed onboarding, interacted with core features) and a $6.99 introductory offer to a cold user. Superwall's data showed this segmentation improved both revenue per paying user and overall trial start rate compared to a single price for all.

Bootstrapping
In the first couple of weeks we were able to show that the Glimpse events that we'd built were running us around $1,000 a day in total — like end-to-end cost — and I think Adobe was costing us about $33,000 a day. And so we were able to quickly say let's rip this out because the data is reliable, it's working, we're confident.

Disney+ Internal Tracking at $1K/Day Beat Adobe at $33K/Day — Within Weeks of Launch

Disney+ built Glimpse — a custom internal clickstream event architecture — with Adobe as a backup. Within days of launch, at 10M users on day one, the cost gap was 33x: $33K/day for Adobe vs $1K/day for Glimpse. The internal system won on cost, data ownership, and GDPR compliance. For most small apps the economics don't justify building; the lesson is to have cost evaluation checkpoints pre-agreed before you scale into vendor lock-in you can't afford to exit.

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