Industry Workflow

Document Verification for Fintech

Stop fake IDs, statements, and synthetic identities at the onboarding gate.

Neobanks and digital walletsBNPL and consumer-credit fintechsCrypto on-ramps and exchangesEmbedded finance and KYC vendors

Forensics tuned to the documents your team sees

Detection layers are weighted for the document mix your industry actually reviews — IDs, statements, paystubs, invoices, leases, and policies.

▸ Document Analysis · LiveID: 8829-XQ
Risk score: High · 94%Signals matched: 12,042

Metadata deep-dive

Inspects EXIF, software signatures, edit history, and structural fingerprints.

Doc typeBank statement
Math checkBalance off by $1,240
TemplateRecycled from prior submission

Privacy-first by design

Originals are processed in encrypted memory and removed after analysis. Reports stay redacted by default.

No training on your data
Team & admin controls
▸ 01 · The Problem

Where industry-specific document fraud actually hides

Fintechs onboard at internet speed — and fraudsters know it. Synthetic identities, AI-generated IDs, and recycled real documents move from one fintech to the next within hours of being burned.

Manual KYC review can't keep up, and legacy verification vendors miss generative-AI forgeries entirely. Modern fintechs need forensic, AI-aware verification baked into the funnel.

▸ 02 · Fraud Signals

What we look for

Cross-checked across 5+ vectors
▸ Primary signal

Synthetic identity fraud using AI-generated IDs

Detected at pixel + metadata + structural layers

Mule accounts opened with stolen real IDs

Fake income docs leading to credit defaults

Doctored proof-of-address for sanctions evasion

First-party fraud and bust-out schemes

What gets checked

Passports, driver's licenses, and national IDs
Bank statements and transaction histories
Pay stubs and tax documents
Utility bills and proof of address
Selfie + ID liveness pairing
▸ 03 · Workflow

From upload to verdict

01

Customer uploads docs

In your app via the TrueDoc SDK or API.

02

Real-time forensic analysis

Engine returns trust score, MRZ check, and forgery flags in seconds.

03

Risk-based routing

Auto-approve clean cases, escalate high-risk to human review.

04

Audit-ready logs

Immutable evidence stored for regulator and dispute readiness.

Fintech document fraud detection at onboarding

Fintechs are the highest-velocity target for document fraud. Synthetic identities, AI-generated IDs, and recycled real documents move between platforms in hours. Fintech document fraud detection has to be inline, deterministic, and AI-aware.

TrueDoc returns a Document Trust Score and structured fraud signals on every onboarding submission — fake IDs, AI-generated passports, edited bank statements, and forged paystubs are all surfaced before account funding.

KYC document fraud and onboarding document risk

KYC document fraud now includes both classic forgeries and fully AI-generated documents that defeat template-based matchers. TrueDoc evaluates AI-generation signatures alongside MRZ checksums, font fingerprinting, and metadata forensics — built for KYC document verification at scale.

Onboarding document risk is summarized at the case level so fraud and compliance teams can apply policy without re-inspecting every file.

Fraud review workflow and human-in-the-loop

TrueDoc auto-approves low-risk submissions and routes flagged cases into a fraud review workflow with full evidence attached. Reviewers see findings, evidence regions, and recommended actions — no need to start the investigation from scratch.

Audit-ready logs and immutable evidence support regulator review, dispute handling, and SAR filings.

Run a real document. Get a forensic verdict.

No credit card. Redacted report in under a minute.

▸ FAQ

Frequently asked questions