What is OCR? And how can it be used for document digitization?

Many organizations still spend hundreds of hours each month manually entering data from paper documents into their systems—whether it’s invoices, bills, HR forms, or various contracts But today, there is technology that can speed up these tasks many times over: OCR (Optical Character Recognition). This article will explain what OCR is, how it works, and how your organization can benefit from using it for document digitization.

What is OCR?

OCR (Optical Character Recognition) is a technology that uses image processing to “read” characters from images or scanned documents and convert them into editable, searchable digital text that can be further processed.

Simply put, OCR acts like an “AI typist” that looks at a photo of a document and automatically extracts every character from it, eliminating the need for someone to type it out manually.

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How does OCR work?

The OCR process consists of four main steps

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1. Image Preprocessing (Image Quality Adjustment)
The system will first adjust the brightness and sharpness of the image and remove noise to make it easier for the system to read the characters.

2. Layout Analysis (Structural Analysis)
The system identifies which parts of the document are headers, tables, paragraphs, or signatures in order to correctly separate the data sections.

3. Character Recognition
The system analyzes the shape of each character and compares it to a font database to convert it into text.

4. Post-Processing (Review and Correction)
The system uses AI and a dictionary to correct errors, such as distinguishing between the letter “l” (lowercase L) and the number “1” (one).

How is OCR different from handwriting?

What kinds of document digitization tasks can OCR assist with?

OCR is not equally suitable for all types of documents, so understanding the use cases will help you plan effectively.

✅ Documents that OCR handles very well

• • Invoice — Accurately read the date, seller's name, total amount, and PO number, especially for invoices with a standard format.
  • Data Entry Forms (Structured Forms) — such as job applications, KYC forms, and evaluation forms with clearly defined fields
  • ID Card / Passport — Modern OCR technology provides accurate and fast reading, making it ideal for customer onboarding
  • Delivery Note — Automatically populates the item code, quantity, and date

  ⚠️ Documents that require human review

  • • Handwritten documents — OCR can read some of them, but the accuracy is lower than with typed text, so they must be reviewed by a person.
    • Old or low-quality documents—documents that have been photocopied multiple times or have faded ink—must undergo image enhancement first.
    • Complex tables/charts — The new OCR can read tables, but highly complex structures may require additional verification.

  ❌ Documents that are not suitable for OCR

  • • Documents containing signatures, stamps, or images are considered sensitive information (requires a separate system)

  Workflow Steps for Uploading Documents to the System Using OCR (Professional Version)

  Companies that provide standardized document entry services will use this process

  

  Step 1: Receive and prepare documents
  Sort the documents by type, organize them in order, and photograph or scan them at a resolution of ≥ 300 DPI.

  Step 2: Process with the OCR Engine
  The system will read and extract data according to the specified template, such as extracting only the document number, date, and amount

  Step 3: Human Verification (QC)
  Staff review areas where the OCR is uncertain (Confidence Score below the specified Threshold) instead of having to retype everything

  Step 4: Validation Rule
  The system automatically validates data, such as ensuring that the total equals the sum of all individual entries and that dates do not go back more than 90 days.

  Step 5: Import into the target system
  Send data to the customer’s ERP, SAP, Oracle, or custom system via API or file import.

  The actual benefits organizations receive

  ⏱️ Save 60–80% of your time

  • • A task that used to take a team of five people a week to complete can now be done in just one or two days with OCR, since employees only need to verify the data rather than type it all out.

  🎯 Greater accuracy

  • • OCR that has undergone human quality control achieves an accuracy rate of over 99.5% because it eliminates human factors such as “typing errors due to fatigue” or “staring at the screen for too long.”

  📊 Faster access to ready-to-use data

  • • Documents that used to take 2–3 days to print can now be uploaded to the system within an hour of receipt, allowing the accounting or logistics teams to plan more quickly.

  💰 Long-term cost savings

  • • Although OCR requires an initial investment, when compared to the labor costs of full-time data entry staff, it typically breaks even within 3–6 months.

  OCR and Outsourcing Document Digitization Services

  Many organizations choose to outsource document capture and digitization rather than invest in OCR software themselves, primarily because

  • • You don’t have to invest in a license, which can cost anywhere from hundreds of thousands to millions of baht per year.
    • There is no need to train employees to use the system and perform quality control on their own.
    • Scalable based on workload; pay only for what you use; no fixed costs
    • We have an SLA that guarantees accuracy and delivery times.

  A good outsourcing provider will have an OCR engine tailored to each type of document, along with a specially trained quality control team, resulting in better outcomes than if the work were done in-house by an organization without expertise in this area.

  Summary

  OCR is no longer just a tool for “reading text”; it is now at the heart of modern document digitization, helping organizations digitize documents faster, more accurately, and at a lower cost.

  For organizations with large volumes of documents that aren’t yet ready to invest in their own OCR system , outsourcing document digitization services to a specialist with an established OCR system and a dedicated quality control team is a cost-effective option that allows for the fastest possible start.

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  Frequently Asked Questions (FAQ)

  How accurate is OCR when reading Thai?

  Modern OCR technology works very well with standard Thai typefaces, but handwritten Thai text still requires human verification. Overall accuracy ranges from 95% to 99%, depending on the quality of the document.

  How many pages is it worth using OCR for?

  Generally speaking, if you have more than 500 pages of documents per month, using OCR becomes worthwhile in terms of both time and cost.

  Is OCR safe for confidential documents?

  Depending on the service provider, you should verify that they have comprehensive policies regarding data security, NDAs, and encryption—both in transit and at rest.

  Can OCR integrate with our existing ERP system?

  In most cases, an experienced service provider will be able to map fields and import data into SAP, Oracle, Microsoft Dynamics, or a custom system.