NISKHAR VOL 2.0
Layout-Aware Document Intelligence Platform Universal Structured Data Extraction

Layout-Aware Intelligence

Conventional OCR fails on complexity. Nishkar understands document architecture before reading content—mimicking cognitive structural understanding to extract structured data from non-linear layouts where traditional systems collapse into noise.

Precision Metric

99.2 %

Accuracy at high density

Initial Benchmark

English

Scaling to 22+ Languages

★
"The most authoritative data recovery suite we've deployed this decade."
BREAKING: NISHKAR ARCHITECTURE DEFINED: THE SIEVE, THE PICK, AND THE FORGE.
DOC-INTELLIGENCE: HANDLING MULTI-COLUMN, NESTED TABLES, AND TECHNICAL DIAGRAMS.
SCALING: VALIDATED ON ENGLISH L1, EXPANDING TO 22+ LANGUAGES.

The Linear Constraint of Legacy Systems

Traditional OCR assumes a flat, top-to-bottom reading order. They fail catastrophically on non-linear layouts—multi-column reports, interleaved forms, and nested tables—flattening structured information into unusable text streams.

01 /
Structural Destruction

Hierarchy is collapsed into linear strings, breaking data integrity.

02 /
Contextual Fragmentation

Fields are detached from descriptors, leading to extraction failure.

Archive: Legacy Output [Unstructured]
Invoice #8822 | Date: 2024-01-15 | Total: 1,250.00 | Desc: Consulting Services... CRITICAL FAILURE: FIELD HIERARCHY NOT DETECTED
Live Feed: Nishkar Extraction [Structured]
{
  "header": {
    "doc_id": "NV-8822",
    "timestamp": "2026-02-04"
  },
  "extraction": {
    "entity": "NISHKAR BUREAU",
    "validity": "VERIFIED",
    "confidence": 0.998
  }
}

Capabilities / Overview

Cognitive Precision

A

Structural Mapping

Advanced spatial logic that identifies document topography. Nishkar maps columns, headers, and nested forms with sub-pixel precision.

B

Structural Understanding

Handling multi-industry layouts where traditional OCR fails. English-first validation with roadmap to 22+ Indian languages.

C

Immutable Accuracy

Real-time validation against known benchmarks. Our engine iteratively refines confidence scores to achieve 99% baseline accuracy.

Standard Operating Procedure

The Refinery Process

1
Module: The Sieve

Layout Analysis Engine

DocLayout-YOLO identifies document topography, isolating tables, margins, and nested registries before a single character is interpreted. Preserving reading order and spatial hierarchy.

[ mAP 85.0+ ] [ SPATIAL AWARE ]
Topography Map L1
2
Module: The Pick

Region-Specific OCR

LightonOCR-2 1B integration for high-accuracy text extraction per segmented region. Handles multi-column, rotated text, and nested tables with 90%+ precision.

[ ENGLISH L1 ] [ PRECISION 90%+ ]
Extracted Stream L2
3
Module: The Forge

Structured Output Generator

Converts extracted regions into machine-readable formats (JSON, XML, CSV, Excel) preserving original document hierarchy and relationships for downstream automation.

[ JSON / XML ] [ ARCH-PRESERVED ]
Structured Registry L3

Institutional Impact

From sovereign wealth funds to global logistics, Nishkar provides the foundational infrastructure for high-accuracy digital transformation.

BFSI / Finance

Banking & KYC

Healthcare / Med

Clinical Records

Logistics / Supply

Freight Ops

Legal / Discovery

Case Analysis

Government / Civic

Digitization

Circulation / Global Access

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