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Multimodal AI

OCR & Document AI

Extract text, tables, forms, and structured data from document images using advanced OCR and document understanding models.

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Use Cases

  • Invoice processing
  • Receipt digitization
  • License plate recognition
  • Medical record digitization
  • Historical archive transcription
  • Form automation

Overview

Optical Character Recognition (OCR) has evolved into Document AI—understanding not just text but also layout, tables, forms, and semantic structure. Modern systems handle handwriting, curved text, multi-language documents, and complex layouts.

We deploy solutions ranging from efficient text extraction to full document understanding that preserves relationships between text elements. This enables automated processing of invoices, receipts, forms, contracts, and legacy documents.

Document AI eliminates manual data entry, enables searchable archives, and automates document-centric workflows across industries from finance to healthcare to government.

Capabilities

What we can achieve with ocr & document ai

1

Scene Text Recognition

Read text from natural images including signage, product labels, license plates, and text in the wild.

2

Document OCR

High-accuracy text extraction from scanned documents, PDFs, and document images in multiple languages.

3

Table Extraction

Detect and extract tabular data preserving row and column structure for spreadsheet output.

4

Form Understanding

Extract key-value pairs from forms, understanding the relationship between labels and their values.

5

Handwriting Recognition

Transcribe handwritten text including notes, forms, and historical documents with high accuracy.

Technologies We Use

PaddleOCR
EasyOCR
TrOCR
Donut
LayoutLMv3
DocTR

Industries We Serve

This solution is applicable across multiple industries where visual data analysis is critical.

Ready to Transform Your Vision?

Let's discuss how computer vision can solve your unique business challenges. Our team is ready to help you from concept to production.