In the BPO industry, especially in data entry, Optical Character Recognition (OCR) technology plays a crucial role in enhancing efficiency and accuracy. This technology automates the process of converting text from images into digital characters, helping to reduce data entry time and minimize human error.
Here are two ways OCR can support the data entry process in BPO.
1. OCR Automatically Processes Data, with Operators Only Checking for Accuracy
In this approach, OCR scans and recognizes data within documents, then automatically displays the results in the system. The data entry operator only needs to verify that the data recognized by OCR is correct, adjusting or confirming it if necessary. This method saves significant time when handling large volumes of structured documents, such as invoices, receipts, or report templates.
The advantage of this approach is its speed in processing; however, it has a major drawback in its reliance on OCR accuracy. For complex or unclear documents, OCR may misrecognize characters, leading to data errors if operators do not catch them in time.
2. OCR Supports Operators by Providing Alerts for Correct or Incorrect Entries
The second approach is to use OCR only as a support tool, alerting operators when it detects input errors rather than automatically providing recognized data. In this approach, operators manually enter data from the image or source document, and OCR compares this information against expected data patterns to issue alerts when discrepancies are found.
This method significantly reduces error rates, especially when dealing with documents that are difficult to recognize. The combination of manual entry with automated alerts enables operators to focus on data quality without fully relying on OCR technology.
Why should the second method be chosen?
Based on extensive experience with BPO projects, choosing the second method—using OCR as a supportive tool that provides alerts—is the best approach to ensure output quality. With this method, operators manually enter all data, which provides a better grasp of the data. OCR functions solely as a tool for error detection, reducing mistakes caused by complete reliance on recognition technology. This approach is particularly suited for projects requiring high accuracy and stringent quality control, offering long-term benefits to the BPO process.
BPO’s digital data service, with its dual data entry process, ensures quality across five levels, while using OCR to input data from images, minimizing mistakes made by Data Entry Operators, minimizing errors from manual data entry, and combining with an automatic checking tool to verify the data after OCR.
We are confident in delivering a digital process that ensures quality with an accuracy rate of over 99%, increasing productivity, and thereby reducing costs for our clients.
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𝐇𝐢𝐤𝐚𝐫𝐢 𝐁𝐏𝐎 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬
𝐁𝐏𝐎 – 𝐑𝐏𝐀 – 𝐈𝐓𝐎
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𝐇𝐨𝐭𝐥𝐢𝐧𝐞: 024 710 67779
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𝐅𝐚𝐧𝐩𝐚𝐠𝐞: Hikari Bpo Solutions Co., Ltd
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