Processed in-memory · Never stored

Remove PII from photos & videos in seconds.
No storage. No account.

AI-powered media redaction with zero data retention. Your files are processed in-memory and deleted immediately. No account. No storage. Ever.

Trusted by 111 early users in private beta2GI AI Accelerator AlumniBacked by Loyola University Chicago Ignite Lab

Used for GDPR compliance, FOIA redaction, content creation, and research anonymization.

Dedicated tools: face blur · license plate blur · tattoo anonymization.

Original street photo: smiling child with face paint, woman with sleeve tattoos, parked SUV with visible license plate, and a W 4th St street sign
Original1 face · 1 plate · 1 sign · 1 tattoo · 218ms
BUILT FOR

One tool, three very different jobs.

Personal

Parents & creators

Protect people in your photos - without sharing them with anyone. Blur faces, plates, and tattoos before posting to Instagram, TikTok, or Zillow.

For personal use →
Business · Legal

Compliance & media teams

Bulk-redact PII from claim footage, body-cam video, news source material, and discovery documents. GDPR, CCPA, and HIPAA-friendly workflows with audit trails.

For business →
{ }
Developers

Engineering teams

Add privacy-safe redaction to your app in 3 lines of code. REST API, async video, webhooks, and SDKs for Python and Node.

Read the docs →
The stakes

Why redaction matters

14B
images shared online every day.
Most contain something that shouldn’t be public.
Photutorial, 2025
53%
of breaches expose personal data in customer files.
Faces, IDs, addresses, metadata - what redaction prevents.
IBM Cost of a Data Breach, 2025
22s
between identity-theft victims.
One un-redacted photo or document can be enough.
FTC Consumer Sentinel, 2025
$10.22M
average US data-breach cost in 2025.
Up 9% YoY. 48% of breached orgs paid >$100K in fines.
IBM, 2025
2,137%
rise in AI-driven identity fraud in 3 years.
Attack tools are outpacing most teams’ redaction tools.
Signicat, 2025
HOW IT WORKS

Four steps. Zero footprint.

Upload, detect, redact, discard. Watch Scanon process a file end-to-end in seconds - nothing stored, nothing logged.

FROM EARLY USERS

What beta testers are saying.

We tested the platform using 37 face images and found that your system successfully blurred 36 of them - a very strong result from an accuracy standpoint.
CEO
FoxCoLab Messenger
The zero-retention guarantee was the deciding factor. We can finally hand journalists a redaction tool without our legal team panicking.
Editorial Ops Lead
Independent newsroom (private beta)
Dropped it into our UGC pipeline in an afternoon. Faces and plates are blurred before anything ever hits our CDN.
Staff Engineer
Marketplace platform (private beta)
218ms
Sub-250ms Processing - Real-Time Preview
0bytes
Zero Data Retention - Processed In-Memory
99.2%
Automatic Face Blur - recall on FDDB
Noemail
No Sign-Up, No Email, No Tracking
FOR TEAMS PROCESSING THOUSANDS OF FILES

Built for the volume problem manual redaction can't solve.

A single insurance team can review 10,000+ pieces of claim media per month. Manual blurring takes 8–12 minutes per image. scanon does it in 218ms with audit logs, role-based access, and bulk processing - without storing any of your data.

  • Bulk upload: process up to 1,000 files in a single batch
  • Async video: frame-by-frame processing with secure webhook delivery
  • Audit trail: every redaction logged with timestamp, region count, and confidence score
Batch · 247 files· 12% complete
batch_8f2a1c
  • dashcam_2026_03_14_unit42.mp4
    Processing
  • claim_8821_intake_video.mp4
    Processing
  • site_visit_north_lot_03.jpg
    Done
  • fleet_unit18_2026_03_13.mp4
    Done
  • claim_8822_evidence_set.zip
    Queued
FOR DEVELOPERS

Add privacy redaction to any app.

One API call. Faces, license plates & tattoos detected automatically. Under 5 lines of code, with zero data retention by default.

redact.sh
curl -X POST https://api.scanon.ai/v1/redact \
  -H "Authorization: Bearer $SCANON_KEY" \
  -F "file=@photo.jpg" \
  -F "detect=faces,plates,tattoos"
WHY SCANON

Compared to your alternatives.

Manual blurringGeneric AI toolsscanonscanon
Speed per image8–12 min2–5 sec0.218 sec
Files stored on serversN/AYes, indefinitelyNever
Account requiredNoEmail + passwordNo email needed
Video supportFrame-by-frame manuallyLimitedAsync, any length
EXIF strippingSometimes
Audit trailManualLimitedPer-region with confidence scores
API accessSome✓ REST + webhooks
PRIVACY BY ARCHITECTURE

We can't leak what we never store.

GDPRCCPAHIPAA-friendlyEXIF auto-strippedIn-memory processingTLS 1.3SOC 2 (in progress)
No persistence

Files exist only in RAM during processing. Memory is zeroed after each request.

No identifiers

Accounts are random IDs. No emails, no IPs logged, no analytics on uploads.

No third parties

All AI inference runs on our infrastructure. No data leaves our perimeter.

FAQ

Common questions.

  • Uploaded files are decoded directly into memory, processed by our redaction model, and the buffers are zeroed before the request returns. Nothing touches a disk, no logs reference the file contents, and the in-memory representation never leaves the worker that received it.

Version history

Where scanon is - and where it's going.

A transparent look at what ships today and what's next.

  1. May 2026Current

    v1.0.0

    - Public beta
    • AI face blur for photos and video
    • Adjustable blur intensity per face
    • Selective face redaction toggle
    • Automatic EXIF metadata stripping
    • Anonymous accounts - no email required
    • Zero data retention, in-memory processing
  2. Coming soonComing soon

    v1.0.1

    - Plates & screens
    • License plate detection & redaction
    • Screen / monitor content detection
  3. On the roadmapPlanned

    v1.1.0

    - TBA

    Details to be announced.

Ready to redact?

No email. No credit card needed.