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🇮🇳 Mahad IT (India)
CIN: U62099MH2025PTC437790 | info@mahadit.in
Mahad IT
Document Intelligence & Identity Data Extraction API Spec & Pilot Testing

Mahad OCR

Structured document parsing, passport MRZ extraction, and multi-stage tamper analysis.

Target Customer & User Base:

Banks, fintechs, staffing firms, visa agencies, corporate HR, and compliance teams processing high-volume identity and billing documents.

The Business Problem It Solves:

Manual identity transcription takes 3–5 minutes per document and misses subtle digital alterations, forged stamps, and invalid MRZ checksums.

Explore OCR API & Demo Discuss Technical Specs
Mahad OCR UI Preview
System Interface Preview ● API Spec & Pilot Testing
Verified Capabilities

Core Features & Functional Architecture

✓
ICAO Doc 9303 Compliant MRZ Parser Algorithmic parsing for 2-line and 3-line machine readable zones with check-digit mathematical verification.
✓
5-Point Fraud & Tamper Inspection Architecture Evaluates EXIF metadata, MRZ checksum parity, Error Level Analysis (ELA), background noise anomalies, and pixel-hash matching.
✓
Regional National ID Support Structured field extraction templates for Emirates ID, Qatar ID (QID), Indian Aadhaar, PAN card, visas, and commercial invoices.
✓
Bilingual Arabic & English Processing OCR extraction across Latin and Arabic scripts, preserving layout and directional reading orders.
✓
Standardized REST JSON Payloads Clean developer payloads with granular confidence scores, bounding boxes, and sandbox evaluation fixtures.
Feature Roadmap & Availability

Module Status Matrix

ICAO 9303 MRZ Checksum Parser Algorithm & Spec Verified
5-Point Tamper & Fraud Inspection Architecture Pilot Architecture / In Testing
National ID Template Extractors (UAE, Qatar, India) Template Models in Training
Commercial Tax Invoice & Receipt Parser In Active Deployment
Real-time Video Stream Scanning Roadmap / Proposed

Technical Specification

Latency Target: < 900ms
MRZ Standard: ICAO Doc 9303
Tamper Spec: 5-Stage Architecture
Target Documents: Passports, IDs, Invoices
How It Operates

Typical Operational Workflow

1

Document Ingestion

Upload image or multi-page PDF via REST API endpoint or secure web portal.

2

Classification & MRZ Routing

The router detects document type and executes local MRZ parsing for passports and identity cards.

3

Tamper & Fraud Analysis

5-point tamper inspection calculates an algorithmic anomaly score and flags potential alterations.

4

Structured JSON Delivery

Normalized payload with biographical lines, document numbers, expiry dates, and tamper scores is returned to your system.

Interactive Product Walkthrough

Structured Document Extraction Sample

Explore normalized biographical data and invoice extraction across passports, national identity cards, and commercial invoices.

Interactive sample — uses example data, not live document processing.
Document Intelligence Engine
Sample Input PreviewOriginal Document
OFFICIAL PASSPORTSample Record

REPUBLIC OF INDIA / PASSPORT

Type: P · Code: IND · Passport No: Z1234567

Name: SHARMA, RAHUL
DOB: 01/01/1989 · Exp: 01/01/2032
Machine Readable Zone (ICAO 9303)
P<INDSHARMA<<RAHUL<<<<<<<<<<<<<<<<<<<<<<<<<<
Z1234567<8IND8901014M3201012<<<<<<<<<<<<<<<4

International travel document with standardized 2-line machine readable zone (MRZ) and biographical data page.

Extracted Data Payload High Confidence Output
Document Type99.8%
Passport (Type P)
Issuing Country99.9%
IND (India)
Surname99.5%
SHARMA
Given Names99.4%
RAHUL
Passport Number99.9%
Z1234567
Nationality99.9%
IND
Date of Birth99.1%
1989-01-01
Sex99.7%
Male (M)
Date of Expiry99.2%
2032-01-01
MRZ Checksum Parity100%
Valid (Modulo 7/3/1)
Need enterprise OCR integration? REST endpoints, batch ingestion workers, and sandbox credentials are provided on request.
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