Live demo

See detection run live

Every model runs in your browser — upload an image and watch it get linked to an incident in real time. Nothing leaves your device.

Dashboard

The lifecycle of every incident

Every reappearance is logged against its incident, with a timestamp — a complete record of what came back and when.

dashboard.rechase.io

Open incidents

42

today

Reappearances linked

1,847

across all incidents

New incidents

12

today

Avg time to link

38ms

end-to-end

Live incident feed

LIVE
IncidentStatus
INC-48210.3s agoLINKED
INC-482012s agoLINKED
INC-48191m agoLINKED
INC-48184m agoNEW
INC-48179m agoLINKED
How it works

The post-takedown lifecycle

01

Content removed

A piece of harmful content is reported and taken down from the platform.

02

Signal captured

Rechase captures a unique signal of the removed content.

03

Reappearance detected

The same content comes back — modified, re-uploaded, or regenerated. Rechase recognizes it.

04

Flagged early

Rechase identifies it before it spreads.

The Problem

Why a simple duplicate check fails

Open an incident with any file. Your platform probably checks for exact duplicates. Change a single pixel and the file no longer looks identical — the same incident comes back looking brand new.

Open an incident

PNG, JPG, WebP — stays on your device

Open an incident to see the comparison.

Incident tracking

Every version is the same incident

Drop an image, then rotate it, crop it, watermark it. Each variation is recognized as a reappearance of the same incident — not a new upload.

Drop image to report an incident

This becomes the original incident record

Drop an image to start

or use the sample image

Try It

Bring your own modification

Modify an image any way you want — Photoshop, phone, AI. Drop both files here.

We don't care how it was modified. We care whether it's the same incident.

Incident A

Original image

The first report of this incident

Incident B — modified anywhere you want

Modified image

Your version — cropped, filtered, AI-upscaled

LEVEL UP

Try to fool it
with AI

Take a portrait, regenerate it with AI — different angle, lighting, background. Drop both here. See if face recognition still finds the same person.

1

Upload original photo

Drop a portrait photo

Any photo with a visible face

2

Generate AI variant

Take the photo to ChatGPT, Midjourney, or any AI tool. Use this prompt:

Take the photo shown on the left and recreate it using AI. Keep the same person's identity and appearance, but change: the head angle or pose, the lighting direction, and the background. The result should look like a different photo of the same person taken in a different situation.

ChatGPT (GPT-4o) · Midjourney · Firefly · Grok ↗

One Incident, Many Appearances

Even heavily AI-modified reappearances stay linked

Upscaled, style-transferred, inpainted, deepfaked — every one of these is still recognized as the same underlying incident, not a new one.

Original upload

Original upload

opened the incident

AI upscale — 4× resolution boost

AI upscale — 4× resolution boost

recognized as a visual variation

Style transfer — watercolor filter

Style transfer — watercolor filter

recognized despite the change

Inpainting — watermark removed

Inpainting — watermark removed

recognized as a visual variation

Background swap — new setting generated

Background swap — new setting generated

recognized despite the change

Face swap — identity altered via deepfake

Face swap — identity altered via deepfake

recognized despite the change

Color grade — professional LUT applied

Color grade — professional LUT applied

recognized as a visual variation

Zero new incidents opened — every AI-modified reappearance was linked back to the original.

Early access

Rechase is currently in validation

Built for platforms, Trust & Safety teams, and legal professionals.

[ View live demo ]

Or request early access