VIPRATECH LABS

RC, Insurance and PUC Document Extraction

Extract and cross-check registration, chassis, owner, hypothecation and validity details from RC, insurance, PUC and fitness documents for used-car, fleet and onboarding teams.

Who it is for

  • Fleet Onboarding Manager
  • Used-Car RC Transfer Desk Lead
  • Dealer Insurance Desk Manager
  • Operations Head at a Mobility Platform

The problem

Used-car buyers, fleet operators, rental and subscription companies and ride-hailing platforms check the same vehicle documents again and again: the registration certificate, the motor insurance policy, the PUC certificate and, for commercial vehicles, fitness and permit. Each arrives as a phone photo, a smart-card scan or a DigiLocker PDF, and every detail is re-typed.

Manual keying of long identifiers

Chassis and engine numbers are long and easy to mistype, and one wrong character breaks every later check.

Many formats for the same document

Paper RCs, smart cards and digital RCs differ by state and era, and each insurer lays out its policy schedule differently.

Expiries that slip

Fleet teams lose track of insurance, PUC, fitness and permit renewals across a large and changing fleet.

Mismatches found late

A hypothecation entry, an owner name that differs from the seller or a chassis number that does not match the policy surfaces only at transfer or claim time.

What we build

We build a vehicle document pipeline that accepts uploads, WhatsApp photos and, with the owner's consent, DigiLocker documents. Each document is classified, then OCR and a language model extract registration number, chassis and engine numbers, owner name, ownership serial, hypothecation, registration and validity dates, insurer, policy number, cover type and PUC validity. Fields are cross-checked across documents and, where you choose, against registry data through an authorised provider. Mismatches and low-confidence fields go to an operations executive. Clean records flow into your DMS or fleet system, and an expiry calendar sends renewal reminders.

  • Classifies RC, insurance policy schedule, PUC, fitness certificate, permit and driving licence
  • Extracts registration, chassis, engine, owner, hypothecation and validity details
  • Cross-checks chassis and registration numbers and owner names across documents
  • Optional checks against registry data through an authorised VAHAN-based provider
  • Expiry calendar with renewal reminders for insurance, PUC, fitness and permits
  • Flags hypothecation, ownership changes and name mismatches for the transfer desk

How it works

  1. 01Receive documentsDocuments arrive by app upload, WhatsApp or consented DigiLocker pull, grouped by vehicle.
  2. 02Classify and extractEach document is classified and its fields extracted with confidence scores and links to the source image.
  3. 03Cross-checkChassis, registration and owner details are compared across documents and, optionally, with registry data.
  4. 04Review exceptionsMismatches and low-confidence fields go to an operations executive for resolution.
  5. 05Create the vehicle recordVerified data is written to the DMS, fleet or onboarding system.
  6. 06Track expiryValidity dates feed a calendar that reminds owners and fleet managers before documents lapse.
RC, Insurance and PUC Document Extraction: workflow diagram
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Architecture

  1. Intake
    • App and web upload
    • WhatsApp document intake
    • DigiLocker pull with owner consent
  2. Extraction
    • OCR with layout detection
    • Document classifier
    • LLM field extractor with schemas
  3. Verification
    • Cross-document rules
    • Registry check through an authorised provider
    • Expiry and validity rules
  4. Review and integration
    • Operations review queue
    • DMS or fleet system API
    • Reminder engine
RC, Insurance and PUC Document Extraction: architecture diagram
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Inputs and outputs

Inputs

  • Registration certificates in paper, smart card or digital form
  • Motor insurance policy schedules
  • PUC certificates
  • Fitness certificates and permits for commercial vehicles
  • Driving licences for fleet drivers
  • Owner KYC documents, with Aadhaar masked where used

Outputs

  • Verified vehicle record with registration, chassis, engine and owner details
  • Cross-document mismatch flags
  • Hypothecation and ownership-change alerts for transfers
  • Expiry calendar and reminder log
  • Source-image links for every field

Where people stay in control

Operations executives resolve every mismatch and low-confidence field. Purchase, onboarding and transfer decisions stay with your team; the system never rejects a vehicle or driver on its own.

Integrations

  • Dealer management or fleet management system
  • DigiLocker, with the owner's consent
  • Authorised VAHAN-based vehicle data provider
  • WhatsApp Business API
  • CRM or onboarding platform

Guardrails

  • Aadhaar numbers masked on capture and never stored in full
  • Registry checks only through authorised channels
  • No automatic rejection; exceptions go to people
  • Every field linked to its source image
  • Document images retained only for the period your policy sets

Compliance notes

  • Owner and driver details are personal data handled under the DPDP Act 2023; Aadhaar, where collected, is masked and handled per UIDAI rules.
  • Expiry reminders help owners keep insurance and PUC valid as the Motor Vehicles Act requires; responsibility stays with the vehicle owner.

A typical pilot

Duration: 3 weeks

One document flow, such as fleet vehicle onboarding or used-car procurement, using a historical sample plus live documents processed in parallel with the current desk.

Deliverables

  1. 01Extraction schemas for RC, insurance and PUC
  2. 02Working pipeline with review queue
  3. 03Cross-check rule set agreed with operations
  4. 04Accuracy report against manually verified records
  5. 05Integration and roll-out plan

What we measure

Field-level accuracy
Extracted fields compared with records verified by operations staff.
Mismatch flag precision
Share of flagged mismatches confirmed as genuine by reviewers.
Handling time per vehicle
Time to complete document checks with and without the pipeline.
Expiry catches
Documents identified as expired or near expiry that the current process had not flagged.

FAQs

01Do state-wise RC formats cause problems?

No. Extraction reads the content rather than relying on a fixed template, so old paper RCs, smart cards and digital RCs from different states are handled. Unusual formats are flagged for review and added to the test set.

02Can it pull documents from DigiLocker?

Yes, with the owner's consent through an approved DigiLocker integration. Issued documents from DigiLocker are cleaner than photos and need less review.

03What about blurry phone photos?

Fields the model cannot read with confidence are flagged, and the owner can be asked on WhatsApp to send a clearer photo of that specific document.

04Can it check pending challans or blacklisting?

Where you have access to such data through an authorised provider, the pipeline can call it as an extra check. We do not scrape government portals.

Related use cases

Akhilesh Mittal

Founded by Akhilesh Mittal. 8 years building a security platform for a New Zealand company. IIT ISM Dhanbad and IMT Ghaziabad. Builds production agentic AI.

Pick one showroom, workshop or claim queue to start

Book a discovery call and we will scope a short pilot on your own photos, documents or call recordings, with the measures agreed up front.