In-app KYC onboarding, processed entirely on the phone.
QuickCapture gives your fintech app a complete on-device KYC flow — capture the ID with KIMORA AI, read the MRZ, extract identity fields, match a selfie to the ID photo, flag fraud with Device Guard, and geo-stamp with DIGIPIN. No document image ever leaves the device, so privacy and DPDP exposure stay minimal by design.
Onboard a customer in minutes, with nothing leaving the handset.
Drop the QuickCapture KYC stack into your existing onboarding screens. Capture, MRZ, ID extraction, face match, anti-fraud, and geo-stamp all run locally — there is no per-scan meter, no watermark, and no document data routed through a vendor cloud. The full stack lives on the Plus edition, with the optional ID Extraction add-on for structured fields.
Why cloud KYC SDKs hurt fintech teams
If your onboarding stack does any of these, it is costing you on privacy exposure, unit economics, or fraud losses.
ID images leave the device
Aadhaar, PAN, passport, and selfie images uploaded to a vendor cloud for processing — exactly the personal data your DPDP, GDPR, and POPIA obligations want you to minimise. QuickCapture keeps every image on the handset.
Per-verification metering
Pay-per-KYC pricing that punishes growth — every onboarding attempt, including drop-offs and retries, is another bill. QuickCapture is a flat annual licence with zero scan limits on every tier.
No device-level fraud signal
Capture tools that can't tell a rooted phone, an emulator, or a mock-GPS session from a real customer. Device Guard surfaces root, emulator, mock location, dev options, USB debugging, and VPN at the moment of capture.
Selfie and ID never compared
Manual review queues to confirm the person matches the document, adding hours to onboarding. On-device face match returns a 0–100% confidence score with reliability bands so your flow can auto-pass the clear cases.
Blurry, skewed ID captures
Weak edge detection on glossy IDs and low light forces customers to re-shoot, raising onboarding drop-off. KIMORA AI delivers precise edge detection with automatic angle and perspective correction.
No verifiable capture location
Onboarding without a trustworthy location signal, leaving location fraud unchecked. Capture GPS, accuracy, and postal code, and generate an offline India Post DIGIPIN from the coordinates — no external API call.
Six steps, one SDK, nothing uploaded
Wire these stages into your existing onboarding screens. Every step runs locally on the handset, so the customer's ID and selfie never touch a server.
Capture the ID
Launch the KIMORA AI capture UI in auto or assisted mode. Precise edge detection and automatic angle / perspective correction produce a clean, deskewed image of the ID — or let the customer import an existing photo from the gallery.
Read the MRZ
For passports and machine-readable IDs, read the MRZ (machine-readable zone) on-device to pull the document holder's core fields directly, with no manual typing.
Extract identity fields
With the optional ID Extraction add-on, parse Aadhaar, PAN, Voter ID, Emirates ID, Iqama, BVN, NIN, and KRA into structured fields — the India + GCC + Africa identity coverage your KYC actually needs.
Match the selfie to the ID
Detect the face inside the captured ID and match it against a live selfie on-device, returning a 0–100% confidence score with reliability bands (Highly Reliable, Strong, Moderate, Low, No match) to drive your auto-pass and review rules.
Run Device Guard anti-fraud
Flag rooted devices, emulators, mock / spoofed GPS, developer options, USB debugging, and active VPN, and block screenshots and screen recording during capture — with real-time threat monitoring on the events that matter.
Geo-stamp with DIGIPIN
Capture GPS location, accuracy, and postal code, and generate an offline India Post DIGIPIN from the coordinates — a compact, verifiable location stamp for the onboarding record, computed entirely on-device.
Privacy by architecture — nothing is uploaded
Every stage above runs on the customer's device: capture, MRZ, ID extraction, face match, Device Guard, and DIGIPIN. No document data is transmitted to any server or third party, which keeps personal-data exposure under DPDP, GDPR, and POPIA minimal by design. An optional one-time internet connection may be used to fetch ML model resources for some features. You decide what your app stores and where — QuickCapture hands you the verified result, not a cloud dependency. See security & compliance →
From account opening to step-up verification
The same on-device KYC stack covers the moments across your app where identity has to be proven.
Account & wallet opening
Capture the ID, read MRZ or extract fields, match the selfie, and check the device — a complete first-time KYC pass inside your sign-up flow, without a manual review queue for the clear cases.
Borrower verification
Verify applicants at loan origination with ID capture, face match, and a DIGIPIN geo-stamp on the application, while Device Guard flags emulators and mock-GPS sessions before disbursal.
Periodic re-verification
Re-run a quick selfie-to-ID match and device check when policy or risk requires it — high-value transfers, profile changes, or scheduled re-KYC — all on-device, with no fresh image upload.
Assisted & agent onboarding
Equip field agents to onboard customers on official physical devices, with location-stamped captures, asset / evidence capture, and anti-tamper signals to keep assisted KYC honest.
Which QuickCapture building block does which KYC job
A small, consistent API across iOS, Android, Web, Flutter, and React Native. Activate your licence offline and call the helper for each stage.
The KYC stack, mapped
- CameraHelper — auto / assisted ID capture with KIMORA AI edge detection & angle correction
- OpticalCodeHelper — read MRZ on passports / IDs and scan QR & barcodes
- HumanFaceHelper — detect the ID face and match the selfie with confidence bands
- DeviceGuard — root / emulator / mock-GPS / VPN detection & screen protection
- DeviceInfo — GPS, accuracy, postal code & offline DIGIPIN geo-stamp
- ID Extraction add-on — structured Aadhaar, PAN, Emirates ID, Iqama, BVN, NIN, KRA fields
Code is illustrative of the API shape; class and method names match the real SDK, exact signatures vary per platform.
The KYC stack lives on Plus
The full identity and anti-fraud toolkit ships on the Plus edition, with an optional add-on for structured ID extraction. Enterprise adds custom templates and air-gapped deployment.
Plus — the fintech KYC edition
From $590/yr single platform, $790/yr multi-platform. Everything in Starter plus face match, Device Guard, Device Info, Location + DIGIPIN, Asset Capture, unlimited-page PDF, and multi-page TIFF. Priority email support.
See Plus pricing →ID Extraction add-on
Optional on Plus, from — per year. Structured extraction for Aadhaar, PAN, Voter ID, Emirates ID, Iqama, BVN, NIN, and KRA — add it when your KYC needs parsed fields, not just a captured image.
Explore ID extraction →Enterprise / Volume
For large fintech, banks, and OEM / white-label. Everything in Plus, plus custom region-specific ID templates, multi-app deployment under one licence, on-premise / air-gapped hosting, dedicated CSM, and a custom SLA.
Talk to enterprise →A note on face match accuracy
On-device face match reduces manual review effort; it is not a 100% guarantee. The confidence score depends on image quality, lighting, and angle, and is reported in reliability bands — Highly Reliable (90–100), Strong (75–89), Moderate (65–74), Low (50–64), and No match (0–49) — so you can set sensible auto-pass and manual-review thresholds for your risk policy.