One API to verify that the person onboarding is real, matches their document, and submitted genuine paperwork. TrueSecurix combines deepfake selfie detection, ID validation and bank-statement forensics into a single explainable decision, hosted in India.
AI-generated and face-swapped selfies that defeat liveness at onboarding, scored for synthetic generation.
Aadhaar, PAN and passport MRZ validated by deterministic checksum math that cannot false-positive.
Bank statements and payslips reconciled against their own arithmetic to expose inflated income.
Post the selfie, ID and any financial document to /v1/verify. You get a single fraud-risk score, a pass, review or flag decision, and the evidence, in one call. Math decides, AI advises, and a real customer is never auto-rejected on a guess.
Read the API docs
curl https://truesecurix.com/v1/verify \
-H "X-API-Key: sk_live_..." \
-F selfie=@selfie.jpg -F document=@pan.jpg
# => "decision": "pass", "risk_score": 6A single call can score the selfie for deepfakes, match it to the ID photo, validate the ID document by checksum, and reconcile a bank statement, returning one combined risk score and decision.
No. Images and documents are analysed in memory and never written to disk. We keep only a one-way hash plus the score and decision, and our infrastructure is hosted in India.
One HTTPS endpoint and a Python SDK. Most teams are live in a day, running it as a gate before costly checks, a parallel layer, or a retrospective sweep of existing users.
100 verifications free, no card. Test it on your onboarding traffic.