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OCR General Document

AI can read images of documents such as PDF, PNG, and JPG and convert them into text.

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OCR General Document แปลงข้อความจากภาพเอกสาร
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What is OCR General Document?
Optical Image Recognition (OCR) or image-to-text is a process of extracting textual information from image file formats (PDF, PNG, JPEG, etc.) that cannot be edited, searched, or counted into a machine-readable text format. This makes it easier and more accurate for a computer to perform some tasks on text. For example, an OCR and information retrieval can be used in document search from PDF files.
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Use Cases
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Use Cases and Application Examples

Nowadays, OCR is often used as a background technology, empowering a lot of applications, systems, and services in our daily life. OCR technology used behind mobile applications is, for example, copying text from images, ID card scanning and verification, etc.

Here are some use cases of OCR for automating document scanning tasks in various industries:

1. Banking and financial services sectors
In order to process financial transactions and other financial activities, Banks need to maintain, organize, and streamline an approval process for various activities e.g., reviewing contracts, checks, loans, invoices, and statements. By leveraging OCR, technology can digitize documents and streamline operations, allowing data to be collected in a database and ready to be fetched when needed.
Customer onboarding
Bank account opening
Loan applications
Account management
2. Retail and E-commerce
Account and service opening
Bill and payment processing
Customer document verification
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