Before You Trust,
CheckKaroo First
Verify real identities, detect fraud profiles, and protect yourself from romance, matrimonial, crypto & job scams — powered by AI.
How It Works
Three steps to stay safe
Our AI-powered engine cross-checks every identifier against verified reports, duplicate face matches, evidence quality, and fraud intelligence in seconds.
Run a CheckIdentifier graph
Enter any identifier
Search a phone number, email, UPI ID, bank reference, vehicle number, social handle, business ID, or profile URL.
AI + moderation
Signals are cross-checked
The engine links reports, duplicate profile patterns, payment handles, verification status, image similarity, and fraud categories.
Decision support
Act with context
See risk level, evidence summaries, verification badges, dispute options, and safe next steps before you trust or transact.
Risk Engine
Trust & Risk Score Levels
Safe
No known complaint pattern and strong verification signals.
Low Risk
Minor flags or incomplete signals. Basic caution recommended.
Medium
Multiple signals. Verify identity and evidence before trusting.
High Risk
Repeated report patterns or risky linked identifiers.
Critical
Severe reports. Preserve evidence and escalate through official channels.
Risk score is not a public accusation.
It is a safety signal based on reports, verification depth, evidence quality, AI detection, and moderation review. Important decisions should include human judgment and dispute handling.
Sample Result
What a search looks like
Real results should show linked identifiers, moderated evidence, AI risk signals, verification status, and dispute options in one privacy-safe view.
Risk intelligence preview
Rahul K.
Location unknown · identity unverified
Phone
+91 98765-XXXXX
UPI
rahul.k@okhdfc
masked***@mail.com
Social
@rahul_trades
Repeat payment handle
Unverified identity
Duplicate image match
High complaint density
Moderated evidence
Fake investment scheme promoted through social DMs with repeated payment requests.
₹2.3L reported loss
UPI payment collected, goods not delivered, phone disconnected after transfer.
UPI handle matched
Same face detected across multiple matrimonial profiles with inconsistent names.
Duplicate image
Verification
No verified identity badge is attached to this sample profile.
Linked graph
Multiple identifiers point to related report patterns.
Sample results are decision-support signals. They should be used with evidence review, direct verification, and dispute processes where someone may be affected.
Scam Categories
12 major fraud types we track
The homepage highlights the most common high-risk patterns. The complete CheckKaroo catalog covers 49 scam categories across payments, identity, marketplace, investment, support, account access, and extortion.
View all 49 scam categoriesIntelligence layer
Identifier linking
Used to reduce false labels and improve dispute-ready decisions.
Evidence moderation
Used to reduce false labels and improve dispute-ready decisions.
Duplicate profile detection
Used to reduce false labels and improve dispute-ready decisions.
AI pattern scoring
Used to reduce false labels and improve dispute-ready decisions.
Dating app scam
Fake dating profiles that build trust and push money, gift, travel, or private media requests.
Matrimonial scam
Fraudulent marriage profiles using family trust, urgency, and fake background claims.
Romance scam
Long-con emotional manipulation used to extract money, gifts, credentials, or intimate media.
Sextortion
Blackmail using intimate, edited, synthetic, or threatened private media.
Digital arrest scam
Fake police, CBI, ED, TRAI, customs, or court threats used to isolate and extort victims.
Payment fraud
Fake payment links, UPI handles, QR codes, collect requests, refunds, and transfer deception.
UPI QR fraud
QR codes or UPI requests designed to make users pay when they think they are receiving money.
Bank account mule alert
Bank accounts used to receive, route, or cash out scam proceeds.
Crypto scam
Fake crypto exchanges, tokens, wallet traps, recovery agents, mining schemes, and pump groups.
Investment fraud
Fake trading apps, advisors, dashboards, groups, and guaranteed-return schemes.
Telegram trading fraud
Telegram groups promising trading profits, insider calls, crypto returns, or paid signals.
Job scam
Fake offers collecting registration fees, equipment charges, documents, or bank credentials.
Build your verified identity
Complete multi-layer verification to earn a trusted badge — instantly recognised as a safe, real person on any platform or interaction.
Mobile OTP
Verified
Aadhaar
Verified
PAN Card
Verified
Face Liveness
Verified
Email OTP
Verified
Trust Badge
Ready
AI Intelligence Layer
Machine learning that never sleeps
AI modules continuously analyse patterns, detect fake identities, and update risk scores in real time — 24x7.
Duplicate Face Detection
AI detects the same face across multiple platforms and fake profiles — useful for matrimonial, romance, and identity scam detection.
Computer VisionReverse Image Similarity
Upload any photo to find matching or near-matching profiles across scam reports, social handles, and user-submitted evidence.
Image RecognitionScam Pattern Analysis
Detect suspicious chat patterns, payment behaviour, repeated identifiers, and fraud language using AI-powered signal analysis.
NLP + BehaviourMulti-Account Fraud Graph
Find links between phone numbers, emails, UPI IDs, photos, devices, and repeated reports to expose organised scam networks.
Graph IntelligenceEvery AI flag needs evidence + moderation
AI should support decisions, not publicly accuse anyone without verified reports, review, and dispute options.
Simple & transparent pricing
Built for individuals, professionals, and enterprises that care about digital trust and online safety.
Essential
Basic trust search and scam reporting access for users who want a first layer of protection.
Limited profile and identifier searches
Basic risk preview
Submit scam reports
Cyber safety guidance
Community intelligence signals
Verified
Advanced reports, verification depth, trust badge workflow, and priority safety intelligence.
Expanded trust search access
Advanced risk reports
Identity verification workflow
Trust badge eligibility
Priority report moderation
Fraud activity alerts
Enterprise
APIs and moderation workflows for products that need risk intelligence at scale.
Identifier risk API
Bulk verification signals
Webhook alerts
Moderation and dispute workflows
Custom integration support
Compliance and audit controls
Helping people stay safer online
Thousands of users trust CheckKaroo to verify identities, detect scams, and protect themselves before making important decisions.
“CheckKaroo helped me identify a fake matrimonial profile before things became serious. The trust score and report history instantly exposed multiple red flags.”
Ritika Sharma
Matrimonial User
“The AI verification system is genuinely impressive. We now use CheckKaroo internally before onboarding freelancers and external vendors.”
Aman Verma
Startup Founder
“I reported a crypto scam profile and within hours other users were protected too. The moderation and verification process feels premium and trustworthy.”
Neha Kapoor
Digital Creator
Join The Trust Network
Verify yourself today
Build your trusted digital identity, protect others from scams, and become part of India’s largest scam intelligence network.
Everything you need to know
Learn how CheckKaroo protects users through verification, AI fraud intelligence, and trust-based moderation systems.
CheckKaroo uses multi-layer verification including phone OTP, email verification, face liveness checks, AI fraud analysis, government ID verification, and community trust signals.
No. Every report goes through moderation, AI filtering, and evidence review before becoming visible. We focus on trust signals and verified reports — not public shaming.
Yes. Sensitive identifiers like Aadhaar, PAN, bank details, and personal documents are encrypted and masked using enterprise-grade privacy standards.
CheckKaroo helps identify romance scams, matrimonial fraud, crypto scams, fake investment schemes, sextortion, digital arrest scams, payment frauds, fake identities, and more.
Yes. Users can claim profiles, submit disputes, upload supporting evidence, and request moderation reviews through the appeals system.
The AI risk score continuously evolves based on fraud reports, linked identifiers, moderation outcomes, verification levels, behavioral analysis, and scam detection patterns.
Still have questions?
Our trust & safety team is here to help you understand verification, reports, disputes, and fraud detection systems.
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