Catch fake and tampered IDs the moment they're captured. Multi-layer image forensics flag screen-replay, printed copies and recompressed forgeries during the video call — with the exact reasons surfaced to your agent.
The easiest way to defeat KYC isn't a master forgery — it's holding up a phone showing someone else's Aadhaar, or a freshly printed colour copy. BASEKYC inspects every captured document with layered image forensics that look for the tell-tale fingerprints of a fake: the moiré interference of a photographed screen, the recompression ghosts left by edited or re-saved images, missing or inconsistent camera metadata, and the unnatural edges and glare of a printout. Each document gets a verdict, a confidence score and a plain-language list of reasons, surfaced to the agent the instant the image is captured and stored against the case for later review. Roll it out in warn-only mode to tune for your customer base, then switch to enforce when you're ready to block suspicious uploads outright.
Moiré-pattern analysis (FFT) catches the periodic interference left when a customer photographs an ID displayed on a phone or monitor instead of presenting the physical document — the most common video-KYC attack.
Edge and specularity analysis flags the flat texture and glare of a printed copy, while JPEG-ghost detection exposes regions that were edited or re-saved — the signature of a digitally tampered or recompressed forgery.
Missing, stripped or inconsistent camera metadata is a strong signal an image didn't come straight from a live camera. EXIF inspection adds a cheap, high-signal layer on top of the pixel-level checks.
Every document returns a real / not-real verdict, a confidence score and per-layer scores with a list of reasons in plain language — so agents and auditors understand exactly why an image was flagged, not just that it was.
Start in warn-only mode: verdicts are logged and shown but never block a capture, letting you measure false positives against real traffic. Flip to enforce to automatically reject suspicious uploads once thresholds are dialled in.
Document spoof detection sits alongside live liveness challenges and face-match scoring, so a fraudster has to beat presentation-attack checks on both the person and the paperwork in the same session.
During the video call the agent captures the customer's PAN, Aadhaar and photo. Each image is sent for analysis without slowing the capture — the check runs in parallel and never blocks a successful upload.
The image passes through the EXIF, moiré, JPEG-ghost and edge/specularity layers. Each returns a score; together they produce a verdict, an overall confidence and a list of reasons explaining the call.
A suspicious result raises a badge for the agent and is stored against the document. In warn-only mode the session continues for review; in enforce mode the upload is rejected on the spot.
The RBI Master Direction on KYC requires that V-CIP processes incorporate liveness checks and safeguards against impersonation and the use of forged or photographed documents. Document spoof detection directly addresses the presentation-attack vector regulators call out for live, agent-led verification.
Under the PMLA framework, regulated entities must take reasonable steps to verify the genuineness of identity documents during customer due diligence. Automated forensic checks raise the bar against fabricated KYC and create a defensible record that diligence was performed.
Each verdict — score, layer breakdown and reasons — is stored against the document and folds into the case audit trail. If a verification is ever challenged, you can show precisely what was checked and why a document was accepted or rejected.
Warn-only and enforce modes let you align controls with RBI's risk-based approach — tighter enforcement for high-risk products and customer segments, looser thresholds where friction must be minimised, all without code changes.
Forensic Pipeline
Screen-Replay Signal
Tamper / Recompress
Metadata Inspection
Score + Reasons
Configurable Mode
Fire-and-Forget Check
Stored Verdict
RBI-compliant video KYC for account opening and re-KYC, with anti-fraud controls that stop impersonation and forged-document attacks at the source.
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How modern video KYC defends against deepfakes, injection attacks and presentation attacks — and where document forensics fit into the picture.
A guide to passive and active liveness detection, the attacks they stop, and how they combine with document checks for layered fraud defence.
Common reasons verifications get rejected — including spoofed and poor-quality documents — and practical steps to reduce avoidable failures.
See how layered document forensics catch screen-replay and printed-copy spoofs in real time, with explainable reasons for every flag.