Document intake
Capture scanned financial documents, detect fields, and retain page-level evidence for review.
LIPIOCR ENTERPRISE
OCRDocument intelligence for KYC, onboarding, and operations.
Read Nepali and English financial documents, extract structured fields, reconcile bilingual data, and let reviewers approve uncertain information before it enters institutional systems.
LipiOCR does OCR, bilingual normalization, entity reconciliation, and reviewer-safe correction for financial document operations.
LipiOCR operation map
From messy files to verified institutional data.
LipiOCR is designed around the real path of financial documents: intake, extraction, bilingual reconciliation, reviewer correction, audit, and export.
Bilingual reconciliation
Pair Nepali and English fields into one customer identity with confidence-aware matching.
Reviewer-safe export
Route uncertain fields to operators, preserve audit reasons, and export approved JSON.
What LipiOCR does
Capability built around the workflow.
01
Full-page document understanding
Upload citizenship cards, passports, ASBA forms, licenses, bank forms, and unknown documents for OCR, handwriting capture, field detection, and reviewer-ready evidence.
02
Human review workflow
Route low-confidence fields to operators, keep corrections editable, and preserve audit history before data reaches core banking or onboarding systems.
03
Bilingual extraction
Connect Nepali and English versions of the same customer information, reconcile confidence gaps, and prepare clean bilingual payloads.
04
Integration-ready exports
Convert reviewed documents into structured JSON for KYC, onboarding, loan, archive, and downstream operations without forcing institutions to replace existing systems.
LipiOCR intelligence layer
OCR is only the first step.
LipiOCR keeps originals, creates normalized values, compares related fields, and records why a suggested correction is safe enough for reviewer attention.
01
Bilingual field pairing
Creates name_ne/name_en, father_name_ne/father_name_en, and address_ne/address_en pairs while preserving the original OCR values.
02
Auto translation and transliteration
Normalizes Nepali and English values into reviewer-safe forms for matching, export preparation, and correction suggestions.
03
Cross-document entity reconciliation
Compares names across citizenship, bank forms, ASBA, passport, and license documents, including spelling and middle-initial variants.
04
Confidence repair with audit reasons
Raises weak field confidence only when a stronger related field supports it, storing source field, corrected value, confidence, and audit reason.
Workflow
From uploaded file to verified data.
LipiOCR does not pretend every document can be fully automated. It prioritizes field confidence, correction, audit, and integration so institutions can move faster without losing control.
01
Upload
Single or multiple documents.
02
Understand
LipiOCR reads layout and fields.
03
Review
Operators correct uncertain values.
04
Export
Approved data moves to existing systems.
Use cases
Where LipiOCR creates operating value.
01
KYC onboarding files
02
Customer identity reconciliation
03
Bank form digitization
04
ASBA form processing
05
Loan document intake
06
Archive modernization
07
Compliance review packets
08
Brokerage onboarding
09
Insurance document intake
10
Cooperative member onboarding
Enterprise trust
Designed to integrate with existing institution systems.
Keep the bank, microfinance, brokerage, insurance, or cooperative workflow intact. LipiOCR adds a review and intelligence layer that exports approved data through APIs, JSON, webhooks, or batch handoff.
On-premise or private cloud friendly
Audit trail for every review action
Maker-checker controls for financial operations
Designed around Nepal KYC and document formats
Private deployment ready
Supports institution-controlled infrastructure first, with clear review boundaries before production integrations are enabled.
LipiOCR
Move from document intake to verified institutional data.
Use LipiOCR to process KYC and operational documents faster without removing human review from critical decisions.