Ai-powered Document Ocr & Data Extractor

Project

Ai-powered Document Ocr & Data Extractor

Structured Data Output / API

Problem Statement

Organizations manage large volumes of invoices, forms, and records in unstructured formats. Manual data extraction is slow, error-prone, and difficult to scale while maintaining accuracy, security, and regulatory compliance.

Solution Overview

The AI-powered Document OCR & Data Extractor automates document ingestion, text recognition, and structured data extraction using proven OCR engines and deep learning models. It delivers validated, machine-readable output through secure APIs for seamless enterprise integration.

Key Features

Document Processing Capabilities

• OCR for scanned PDFs and images
• Intelligent key-value and table extraction
• Support for invoices, forms, and IDs
• High-accuracy text recognition with validation

Integration & Automation

• Structured JSON output
• Secure REST API access
• Workflow automation ready
• Enterprise-grade security controls

System Architecture

Document Upload / Scan
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Image Pre-processing (OpenCV)
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OCR Engine (Tesseract / Cloud OCR)
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AI-based Data Extraction & NLP
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Data Validation & Structuring
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      v
Secure API / Structured Output

Technology Stack

OCR & Computer Vision

Tesseract OCR, AWS Textract / Google Vision OCR, OpenCV

AI & NLP

PyTorch, Transformer-based models, Named Entity Recognition (NER)

Backend

Python, FastAPI, REST APIs, Background Workers

Frontend

HTML, Tailwind CSS, Admin Dashboard UI

Storage & Security

Secure Object Storage, Role-based Access, Encryption

Use Cases

• Invoice Processing
• Banking & Finance
• Healthcare Records
• Government Documents
• Logistics & Supply Chain
• HR & Onboarding

Business Impact

Reduced manual data entry costs
Faster document processing
Improved data accuracy & compliance
Scalable intelligent automation