{"id":41539,"date":"2024-11-20T09:00:00","date_gmt":"2024-11-20T02:00:00","guid":{"rendered":"https:\/\/lacviet.vn\/?p=41539"},"modified":"2025-12-09T14:48:57","modified_gmt":"2025-12-09T07:48:57","slug":"ocr-rpa-idp","status":"publish","type":"post","link":"https:\/\/lacviet.vn\/en\/ocr-rpa-idp\/","title":{"rendered":"OCR, RPA and IDP is what? Compare the difference between 3 technology"},"content":{"rendered":"

To achieve optimum efficiency, the digitization does not stop at the conversion data of paper into digital data, but also need to the technology support processing and intelligent automation. Set of 3 technology <\/span>OCR RPA IDP<\/b> not only to help businesses optimize operational processes, but also opens up opportunities to improve the customer experience and enhance competitive advantage.<\/span><\/p>\n

Let's Lac Viet<\/a> discover details about OCR, RPA and IDP, at the same time compare the difference between this technology<\/span><\/p>\n

1. Trend of digitization in business<\/h2>\n

Document digitization is the first step and the most important in the conversion process of opening up opportunities for businesses to harness technologies such as data analytics, artificial intelligence (AI) and automation. This not only improves productivity but also build the foundation for enterprises to participate effectively in the digital age. According to a report by McKinsey, the business of culture success are likely to grow revenue faster <\/em><\/span>20%-25% <\/b>compared with the business not deploy digitized.<\/span><\/em><\/p>\n

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Document digitization is the inevitable trend in the future<\/figcaption><\/figure>\n

However, the complexity of the transformation of the material from the form of traditional paper to digital requires tools and advanced technology. This is where solutions such as OCR, RPA and IDP become the focal point. These technologies do not merely support converting documents, but also re-shaping the entire process of data processing, help enterprises achieve efficiency and optimum accuracy.<\/span><\/p>\n

The combination of the 3 <\/span>OCR RPA IDP not only accelerate the process of digitization, but also create an ecosystem management, comprehensive documentation, enhance competitiveness for enterprises in the era of technology 4.0.<\/span><\/p>\n

2. Overview of OCR<\/h2>\n

2.1 OCR is what?<\/h3>\n
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OCR (Optical Character Recognition)<\/i><\/b> is detection technology, optical character used to convert content from paper documents, images or PDF into digital data that can edit, search and store.<\/span><\/i><\/p>\n<\/blockquote>\n

OCR technology works based on the pattern recognition and the characteristic sharp lines in the text, from that analysis, to reconstruct the form of numerical data. This is an important first step in process automation material handling.<\/span><\/p>\n

According to a report from Grand View Research, the market OCR is expected to reach an average growth rate annually (CAGR) is <\/span>13,7% <\/b>from 2021 to 2030, thanks to increased demand from businesses in reducing manual processes<\/span><\/em><\/p>\n

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Convert content from physical documents to digital data with OCR technology<\/figcaption><\/figure>\n

2.2 Manner of operation of OCR<\/h3>\n

OCR technology works according to the process 3 main steps:<\/span><\/p>\n

B\u01b0\u1edbi 1: Scan documents<\/b><\/p>\n

OCR document scanning input (paper, photo, or PDF), then convert them into digital images.<\/span><\/p>\n

Step 2: pre-Processing, image<\/b><\/p>\n

This stage improves the quality of images to increase the accuracy of character recognition. The processing steps typically include remove noise, smooth lines and alignment of text.<\/span><\/p>\n

Step 3: Recognize characters<\/b><\/p>\n

Based on AI algorithms, OCR recognition through two main methods:<\/span><\/p>\n