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Looking to develop a custom OCR system for your business? How to choose a development partner that truly understands your business.

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แนะนำบริษัทรับทำระบบ OCR

Many businesses have begun adopting OCR (Optical Character Recognition) technology to reduce manual data entry and extract information from scanned documents. While off-the-shelf OCR tools can handle standard documents, they may not always meet the specific requirements of every organization. 

For example, a company in the manufacturing sector might need to extract product codes and quantities from supplier documents, while the accounting department might require the precise extraction of invoice numbers, VAT amounts, and payment details—even when presented in Thai. Standard OCR tools may be able to recognize the text, but they cannot organize the data into the specific format required by existing business systems. 

This is why many businesses do not merely seek a subscription to OCR software; rather, they require a system development partner that understands their documents, workflows, and organizational integration needs. 

If you are looking for guidance on choosing an OCR system development provider in Thailand, this article explores 7 key factors to consider before making your decision. 

Why Off-the-Shelf OCR Tools May Not Be Enough? 

Ready-to-use OCR solutions are convenient because businesses can start recognizing text without developing a complete system. 

However, standard solutions may have limitations when dealing with complex business requirements. 

Common challenges include: 

  • Unique document formats: Supplier invoices, internal forms, and industry-specific documents may have different layouts and structures. 
  • Custom data extraction: Businesses may need specific fields that standard OCR templates do not recognize automatically. 
  • Thai-language documents: Some workflows require accurate recognition of Thai and English content within the same document. 
  • Existing system integration: Extracted information may need to follow specific formats before entering ERP, CRM, or accounting applications. 
  • Complex approval processes: Recognized information may need to trigger validation, review, or approval workflows. 
  • A custom OCR system addresses these challenges by adapting document recognition and data processing to the organization's actual requirements. 

7 Things to Consider When Choosing a Custom OCR Development Partner 

  1. Understands Your Business Documents

A good OCR development partner should understand more than OCR technology. They should first understand the documents your organization processes and the information that needs to be extracted. 

For example, an invoice processing system may need to identify supplier names, tax identification numbers, invoice dates, purchase order references, and total amounts. 

Ask potential providers whether they can analyze your actual documents and identify the most appropriate extraction approach. 

  1. Can Develop Custom Data Extraction

Every business has different data requirements. 

A standard OCR tool may extract all visible text, but your organization may need specific information organized into predefined fields. 

A custom solution should support requirements such as: 

  • Extracting selected fields from different document layouts. 
  • Recognizing tables, line items, and financial values. 
  • Classifying documents automatically. 
  • Converting extracted information into structured JSON or database records. 
  • Applying Business Rules to validate extracted data. 

This is particularly important when the output must match the data structure of an existing business application. 

  1. Supports Thai and Multilingual Documents

Thai businesses frequently process documents containing both Thai and English information. 

Examples include tax invoices, receipts, purchase orders, contracts, and customer registration forms. 

Choose a development partner that can demonstrate suitable Thai-language OCR capabilities and explain how the solution handles different fonts, character positions, image quality, and document layouts. 

If your business receives documents from international suppliers, multilingual recognition should also be considered. 

  1. Has Experience with AI and Modern OCR Technologies

Custom OCR development may involve several technologies rather than relying on a single recognition engine. 

Depending on the requirements, the provider may use traditional OCR, AI-powered document processing, machine learning, or large language models to support document understanding and information extraction. 

For organizations using Microsoft technologies, Microsoft Foundry and Document Intelligence provide capabilities that can support document analysis and information extraction. 

The development partner should recommend an appropriate architecture based on document complexity, accuracy requirements, processing volume, and budget. 

  1. Can Integrate with Your Existing Business Systems

A custom OCR system should not become another disconnected application. 

The real business value comes from transferring extracted information into the systems employees already use. 

Look for experience integrating OCR with: 

  • ERP and accounting applications. 
  • CRM applications 
  • Microsoft 365 and SharePoint. 
  • Document Management Systems (DMS) 
  • Microsoft Power Automate 
  • Internal databases and custom applications through APIs 

For example, a supplier invoice could be uploaded, processed by OCR, validated, and transferred to an ERP system for the next stage of the accounting workflow. 

  1. Provides Security and Data Validation

Business documents may contain confidential financial information, customer records, employee details, and contractual information. 

A professional development partner should explain how documents and extracted data are protected. 

Important considerations include access permissions, encryption, data retention, secure API connections, and compliance with applicable requirements such as Thailand's Personal Data Protection Act (PDPA). 

Data validation is equally important. The system should support confidence checking, business rules, and human review when extracted information is incomplete or uncertain. 

  1. Offers Long-Term Support and Customization

Business requirements change over time. New suppliers may introduce different invoice formats, departments may request additional fields, or organizations may adopt new business applications. 

Choose a partner that can provide ongoing maintenance, troubleshooting, system improvements, and additional integrations. 

Also clarify whether the provider offers documentation, employee training, performance monitoring, and support after deployment. 

A long-term development partner should help your OCR solution evolve alongside your business. 

Custom OCR vs. Ready-to-Use OCR: Which Is Right for Your Business? 

Consideration 

Ready-to-Use OCR 

Custom OCR System 

Initial setup 

Usually faster 

Requires analysis and development 

Document formats 

Common formats and templates 

Can support business-specific formats 

Data retrieval 

Standard extraction capabilities 

Customized fields and business rules 

Integration 

Depends on available Connectors 

Can be designed for existing systems 

Workflow Automation 

May require additional tools 

Can be tailored to business processes 

Customization 

Limited by product capabilities 

More flexibility 

Investments 

Often lower initial cost 

Higher development investment may be required 

Ready-to-use OCR solutions are suitable for businesses with straightforward requirements that handle documents with standard formats. 

Custom OCR is worth considering when document structures, extraction rules, integration requirements, or workflows are too specific for standard tools. 

How to Evaluate an OCR Development Company Before Hiring 

Before selecting a provider, prepare a small collection of real business documents and define the information you need to extract. 

Then request a Proof of Concept (PoC) to evaluate the proposed solution. 

A useful PoC should demonstrate: 

  • Recognition performance using actual documents. 
  • Extraction of required fields and tables. 
  • Handling of different document layouts. 
  • Validation and error-handling capabilities. 
  • Integration possibilities with existing applications. 

You should also request a clear project scope covering development costs, technology licensing, deployment, maintenance, and future customization. 

This helps decision-makers compare providers based on actual business value rather than software demonstrations alone. 

Find the Right OCR Development Partner with Fusion Solution 

Developing a custom OCR system requires a combination of AI technology, document processing expertise, and business system integration. 

Fusion Solution helps organizations explore Microsoft-based technologies and digital solutions to improve document processing and business workflows. 

For Thai SMEs looking to automate document extraction, process invoices, or connect OCR with existing business applications, Fusion Solution can help identify an implementation approach that matches their requirements. 

Summary 

Choosing a custom OCR development partner is about finding a company that understands how your business works, not simply one that can recognize text from images. 

The right partner should be able to analyze your documents, develop customized extraction rules, support Thai-language recognition, integrate with existing systems, and provide long-term technical support. 

By evaluating these capabilities and testing a Proof of Concept with real business documents, Thai SMEs can make a more informed investment in OCR technology and build document workflows that genuinely reduce manual work. 

Interested in Microsoft products and services? Send us a message here.

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Frequently Asked Questions (FAQ)

DOVA OCR can assist in processing business documents—such as invoices, receipts, forms, and scanned files—making data management more convenient and efficient.

A system that reads text and extracts key information from documents, reducing the need for manual data entry and allowing employees to dedicate more time to verifying data and performing tasks that require decision-making.

Accuracy depends on the quality of the documents, the font styles, and the complexity of the information. You should verify the results before use, especially when dealing with financial data or critical organizational information.

DOVA OCR offers features such as data export to CSV, database storage, and a RESTful API, which can be used to integrate with other systems depending on the specific deployment requirements.

You should begin by identifying the types of documents to be processed, preparing actual document samples, and testing the accuracy of data extraction. Additionally, evaluate security requirements and system integration needs to ensure the chosen solution is well-suited to your organization.

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