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Arcade Alliance

Live demo · AI tool · Lenders, brokers, insurers & onboarding teams

KYC files that check themselves.

Upload the applicant’s documents. Every field is read with a confidence score, Aadhaar is masked before storing, names and dates are cross-checked — and people only review what doesn’t match.

Try it live Make it yours

The problem

“Our team types details from Aadhaar, PAN and forms all day.”
The problem this demo is built to solveLive demo · sample data

What is AI KYC document extraction?

AI KYC document extraction reads identity and supporting documents — PAN, Aadhaar, bank statements, address proofs, application forms — into structured fields with a confidence score, masks the Aadhaar number, cross-checks names and dates across documents, and sends only mismatches or unclear fields to a person.

Built around your workflow: this demo is a starting point — screens, fields, rules and integrations are made to fit your business.

Fields typed by hand per file

Before: Every fieldWith the system: Only flagged ones

How the system works · how we measured

In the demo every field is read with a confidence score; a person reviews only mismatches and fields under 80%.

01 · The problem

What problem does it solve?

A lender’s onboarding team receives each loan file as phone photos, scans and PDFs. For every applicant, someone types the PAN, Aadhaar, address and income details into the system, then compares names and dates across documents by eye.

It is slow, mistakes slip in when the queue is long, and full Aadhaar numbers end up stored in places they shouldn’t be.

  • Hours of typing

    Every field of every document, by hand.

  • Missed mismatches

    A different name on the address proof goes unnoticed.

  • Compliance risk

    Unmasked Aadhaar numbers stored in files.

  • Slow approvals

    Applicants wait days for a decision.

02 · The solution

How does KYC Document Extraction fix it?

  1. 01

    Read any document

    Vision models read photos, scans and PDFs into fields — name, numbers, dates, addresses, amounts — with a confidence each.

  2. 02

    Mask what must be masked

    The first eight digits of the Aadhaar number are masked before anything is stored.

  3. 03

    Check across documents

    Names, dates of birth and addresses are compared, with fuzzy matching for initials and spellings.

  4. 04

    People review exceptions

    Mismatches and low-confidence fields go to a reviewer with a note; clean files move on.

03 · The result

What changes?

Fields typed by hand per file

Before: Every fieldWith the system: Only flagged ones

How the system works · how we measured

In the demo every field is read with a confidence score; a person reviews only mismatches and fields under 80%.

Documents in the demo
5
Aadhaar before storing
Masked
Across documents
Cross-checks
Confidence goes to review
<80%

Live demo

Try it live.

A scripted demo with sample data, so it behaves the same for everyone. Nothing you do here is saved or sent anywhere.
  1. 1Press “Read 5 documents” and watch the fields fill in.
  2. 2Open the Aadhaar card — the number is masked.
  3. 3Open the electricity bill: the name differs, so it goes to review.
Make it yours
Loading the demo…

Before & after

The same day, two ways.

Watch each task move from the way it’s done today to the way it runs on the system — or drag the slider yourself.
Today
With the system
  • Data entryToday: Typed from photosWith the system: Read automatically, confidence per field
  • Name checkToday: Compared by eyeWith the system: Cross-checked across documents
  • Aadhaar numberToday: Stored in fullWith the system: Masked before storing
  • Reviewer’s timeToday: Spent on every fileWith the system: Spent on exceptions

Your numbers

What could it save you?

Put in your own volume and timing. It’s your estimate, worked out in your browser — not a promise from us.
min
min

Our estimate for the same task — change it if you like.

₹ / hr

Your estimate

234 hours a month

About 29.3 working days back every month.

1,560 KYC files a month (26 working days) × 9.0 minutes saved each. Your numbers stay in this browser.

Make it yours

Built around your business.

Choose what your version of KYC Document Extraction needs. Your brief builds itself — send it, and we reply with a plan.

Often asked for by businesses like yours

  • Documents required per product
  • Matching rules for names
  • Confidence thresholds
  • Who reviews what
  • Retention periods
Always included
  • ID & form extraction
  • Aadhaar masking
  • Cross-document checks
  • Review queue
Add modules
Connect to the tools you use
Runs on
Languages
Hosting
Team size

Under the hood

How is it built?

Where the data comes from, what the system does with it, and what comes out.

Inputs

  • Photos, scans & PDFs
  • Application data
  • Your KYC rules

The engine

  • Vision language model & OCR
  • Masking & validation
  • Cross-document matching

Outputs

  • Verified fields in your system
  • Review queue with notes
  • Audit trail per file

Modules

  • ID & form extraction
  • Aadhaar masking
  • Cross-document checks
  • Review queue
  • Bank statement reading
  • Audit trail

Connects to

  • Your loan origination system or CRM
  • DigiLocker (where permitted)
  • Account Aggregator data
  • WhatsApp Business API
  • Encrypted cloud storage
  • Email intake

Stack

  • Claude / Gemini vision
  • OCR fallback
  • Python
  • PostgreSQL
  • Encrypted storage
  • Your LOS or CRM

Proof, the honest way

What would you measure?

This is a demo, so we don’t claim client results. In a real roll-out, these are the numbers we track from week one — before and after.

  • Minutes per file

    From upload to verified.

  • Straight-through files

    Files with no human edits.

  • Mismatches caught

    Before approval, not after.

  • Turnaround time

    From application to decision.

FAQ

KYC Document Extraction FAQ

All questions →
What is AI KYC document extraction?

AI KYC document extraction reads identity and supporting documents — PAN, Aadhaar, bank statements, address proofs, application forms — into structured fields with a confidence score, masks the Aadhaar number, cross-checks names and dates across documents, and sends only mismatches or unclear fields to a person.

Is it allowed to store Aadhaar details?

Only within UIDAI’s rules: the Aadhaar number must be masked (the first eight digits hidden) wherever it isn’t required in full. The system masks it before storing.

How accurate is the extraction?

It depends on the image. Every field gets a confidence score, and anything below your threshold goes to a person, so errors are caught before approval.

Can it handle names spelt differently?

Yes. Fuzzy matching handles initials, spellings and order (“Rakesh K Singh” vs “Rakesh Kumar Singh”), and flags real differences.

Does it replace video KYC?

No. It prepares and checks documents; video KYC (V-CIP) and the final decision follow your RBI-compliant process.

Where is the data kept?

In encrypted storage on infrastructure in India that you choose, with access logs and retention periods you set.

Built around you

Every demo is a starting point.

Nothing here is sold as-is. Each one is rebuilt around your business — these are the things we tailor on every project.

  • Your workflow

    Steps, approvals and statuses the way your team works today.

  • Roles & permissions

    Who sees and changes what — by branch, team or person.

  • Fields & forms

    Your terms, your fields, your numbering and units.

  • Reports

    The numbers you check every day, in your format.

  • Integrations

    Tally, WhatsApp, payments, couriers and the tools you already use.

  • Your brand

    Your name, logo and colours on every screen and document.

  • Language

    English, Hindi or a regional language for staff and customers.

  • Hosting

    Our cloud, your cloud account or your own server.

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Updated 30 Oct 2026 · Arcade Alliance Network is a web, app, software and AI development company in Lucknow, India, building custom software for businesses in India and worldwide.

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