Because what was removed
should stay removed.
AI-powered prevention of harmful content re-distribution. Detect modified re-uploads across your platform in real time — entirely in your browser.
Validated with T&S professionals · All processing runs in your browser
Why exact matching fails
Your platform probably uses file hashing to detect duplicate content. Change a single pixel — the hash changes completely. Removed content comes back under a different hash.
Drop any image
PNG, JPG, WebP — stays on your device
∅
Drop an image to see its hash.
We catch every modification
Drop an image, apply any transformation, and watch pHash and CLIP match it while SHA-256 fails every time.
Drop image to fingerprint
This becomes the 'removed content' in the database
∅
Drop an image to begin.
Bring your own modification
Modify an image however you want — Photoshop, your phone, an AI tool. Drop both files here.
We don't care how it was modified. We care what it looks like now.
Original
Original image
The 'removed' version
Modified anywhere you want
Modified image
Your version — cropped, filtered, AI-upscaled
Even AI-generated variants can't hide
When pHash fails on heavy AI transformations, CLIP embeddings catch what the human visual system sees as the same content — regardless of how the pixels changed.
| AI Modification | SHA-256 | pHash | CLIP |
|---|---|---|---|
| AI Upscale | MISS | MATCH (7) | MATCH (0.94) |
| Style Transfer | MISS | MISS (28) | MATCH (0.87) |
| Inpainting | MISS | MATCH (4) | MATCH (0.96) |
| Background Swap | MISS | MISS (35) | MATCH (0.82) |
| Face Swap | MISS | MISS (42) | MATCH (0.83) |
| Color Grade | MISS | MATCH (6) | MATCH (0.93) |
CLIP catches 6/6 cases — including deepfakes and style transfers that break every pixel-based approach.
Full visibility, real time
Every blocked re-upload is logged with method, confidence, and latency. Your Trust & Safety team gets the audit trail they need.
Blocked today
1,847
+12%
Detection rate
99.3%
+0.2%
Avg latency
38ms
-4ms
CLIP catches
31%
of daily blocks
Live block feed
LIVE| Event | Confidence | Action |
|---|---|---|
| EVT-48210.3s ago | 94% | ✗ Blocked |
| EVT-482012s ago | 98% | ✗ Blocked |
| EVT-48191m ago | 87% | ✗ Blocked |
| EVT-48184m ago | 100% | ✗ Blocked |
| EVT-48179m ago | 96% | ✗ Blocked |
Mockup — real dashboard available in production integration
Simple pricing. No surprises.
Start protecting your platform today. Scale as you grow.
Starter
For early-stage platforms getting harmful content under control.
- ✓Up to 100k fingerprint checks / mo
- ✓SHA-256 + pHash detection
- ✓REST API + webhooks
- ✓Email support
- ✓7-day audit log
Scale
Full detection stack with CLIP for AI-variant coverage.
- ✓Up to 2M fingerprint checks / mo
- ✓SHA-256 + pHash + CLIP
- ✓Real-time blocking API
- ✓Slack + webhook alerts
- ✓30-day audit log
- ✓Dedicated Slack channel
Enterprise
Unlimited volume, on-prem deployment, custom SLA.
- ✓Unlimited fingerprint checks
- ✓On-prem / VPC deployment
- ✓Custom model fine-tuning
- ✓24/7 SLA + dedicated CSM
- ✓SOC 2 Type II documentation
- ✓Custom retention
Common questions
Does image data leave our servers?
No. Fingerprinting happens at your edge. Only hashes and embedding vectors are transmitted — never raw pixels.
How fast is the detection?
pHash and SHA-256 checks resolve in under 5ms. CLIP embedding on our inference nodes adds 30–50ms end-to-end.
What if an AI variant slips through?
CLIP is tuned to catch novel variants. Missed detections are analysed and used to improve thresholds at no cost to you.
Ready to keep removed content removed?
Book a 30-minute call. We'll show you the integration and answer every question.
© 2025 Rechase. All rights reserved. · ds@ktl.ai