NeuraClaw

Automate Document Understanding & Processing

Transform unstructured documents into actionable intelligence. NeuraClaw uses state-of-the-art AI to extract and structure data from PDFs, scans, and handwritten notes with unprecedented accuracy.

Process

How It Works

01

Intelligent Ingestion

Multi-source connectivity for PDF, Scans, and Handwritten notes. Auto-skew correction and noise reduction ensure optimal data quality.

02

Structural Vision

AI-driven layout analysis identifies document intent by mapping spatial hierarchies, headers, and complex table boundaries.

03

OCR Transformer Core

Deep learning models translate pixel-level data into high-fidelity text, supporting 90+ languages and complex character sets.

04

Semantic Interpretation

Context-aware NLP analyzes the meaning behind the text, distinguishing between static labels and dynamic data values.

05

Neural Data Extraction

Specific data points are isolated based on semantic relationships, identifying entities like Tax IDs, line items, and totals.

06

Logic-Base Validation

Extracted data is cross-referenced against business rules and existing databases to ensure 100% mathematical consistency.

07

Human-in-the-Loop

Low-confidence extractions are flagged for human verification, training the neural models for continuous accuracy improvement.

08

Universal Integration

Final structured intelligence is seamlessly synchronized with your ERP, CRM, or cloud warehouse via high-speed API connectors.

Deliverables

What You Get

Structured Data Output (JSON/XML/CSV)
Custom Extraction Models
API & SDK Integration
Human-in-the-Loop Workflow
Detailed Extraction Analytics

Tech Stack

Powered By

Transformers
PyTorch
LayoutLM
BERT
OpenCV

FAQ

Common Questions

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