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OCR Document Processing Service

AI-powered document digitization with Thai language support

22 Lab (Own Product)
SaaSAI/MLOCRDocument ProcessingThai Language

PROJECT OVERVIEW

CLIENT

22 Lab - Own Product

TIMELINE

Ongoing Development

SERVICES

AI/ML Development, API Design, Computer Vision, Cloud Architecture

THE CHALLENGE

Digitizing Thai Documents with Precision

Thai documents present unique OCR challenges with complex script and varying document formats requiring specialized AI models.

  • Thai script recognition accuracy
  • Handling various document types and formats
  • Real-time processing requirements
  • Data extraction and structuring
  • Easy API integration for developers
Challenge
Solution

OUR SOLUTION

Smart Document Processing Platform

We built an advanced OCR service with specialized Thai language models, supporting multiple document types with high accuracy.

  • Thai language optimized OCR engine
  • Support for multiple document types
  • Structured data extraction
  • RESTful API for easy integration
  • Real-time and batch processing

Our Process

1

Research

Studied Thai OCR requirements

2

AI Training

Trained models on Thai documents

3

API Development

Built scalable API infrastructure

4

Testing

Validated accuracy across document types

5

Launch

Released API to developers

Technologies Used

AI/ML

TensorFlow • PyTorch • Custom Thai Models • Computer Vision

Backend

Python • FastAPI • Node.js

Database

PostgreSQL • MongoDB • Redis

Infrastructure

AWS • Docker • GPU Servers • CloudFront

Key Features

Document Recognition

Extract text from images and PDFs with high accuracy

Thai Language Support

Optimized for Thai script recognition

Fast Processing

Real-time OCR with millisecond response times

Structured Output

Get organized data ready for integration

Developer-Friendly API

Simple REST API with comprehensive docs

Secure Processing

Enterprise-grade security and privacy

Project Gallery

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Results & Impact

98%
Thai Text Accuracy
<1s
Average Processing Time
50K+
Documents Processed Monthly

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