DYNAMSOFT BLOG

Ideas and Tips on Document Imaging to Make Developer's Life Easier.

Tag: ocr

  • Evaluating MRZ Scanning Accuracy: Insights from Scanned and Photographed Passports

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    The Machine Readable Zone (MRZ) is the section of passports and IDs designed for automated reading. Despite its restricted character set (A–Z, 0–9, <), reliable recognition is not always straightforward in practice. Common challenges include: Character confusables such as 0 vs. O, 1 vs. I, and 5 vs. S. Image...

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  • Unlock Faster, More Accurate ID Verification with the Dynamsoft MRZ SDK

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    In industries like travel, banking, and government services, accuracy in identity document scanning isn’t optional — it’s mission-critical. A single misread can mean a delayed boarding gate, a failed KYC onboarding, or a compliance red flag. That’s where the Dynamsoft MRZ Scanner SDK comes in. Built on our years of...

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  • Benchmarking MRZ SDKs: Accuracy and Speed Comparison in Real-World Scenarios

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    While some mature identity verification SDKs offer full feature sets—such as visual zone OCR, headshot extraction, and document classification—there are many scenarios where only the machine-readable zone (MRZ) matters. If your application is focused on reading MRZ data quickly and accurately—such as in border control, visitor management, or mobile onboarding—Dynamsoft’s...

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  • Decoding Cigarette Pack Information from DotCode and OCR

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    In the highly regulated and complex tobacco industry, the ability to accurately track and trace individual cigarette packs is paramount. While traditional methods often relied on human-readable alphanumeric codes, the rise of high-density DotCode barcodes presents a significant opportunity to encode more data in smaller cigarette packs. In this blog...

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  • Revolutionizing VIN Identification with Barcodes & OCR

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    In the automotive industry, Vehicle Identification Number (VIN) are indispensable, these alphanumeric codes play a vital role in ensuring vehicle tracking and safety. VIN provides detailed information about a vehicle’s origin, specifications, and unique identity. However, traditional methods of identifying VIN have proven inefficient, often leading to errors, delays, and...

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  • Enhance Container Tracking with OCR Technology for Accurate and Efficient Logistics

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    The global shipping industry is essential to international commerce, with over 90% of commodities globally transported by sea. The capacity to accurately monitor and control the movement of these containers is essential for maintaining efficient supply chains. The manual input of container numbers, a critical component of this procedure, presents...

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  • Improving Vendor Management Efficiency with OCR and Document Processing

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    Effective vendor management in today’s dynamic business landscape often involves handling large volumes of physical documents, which poses a significant challenge. Extracting key details like vendor names, numbers, and other critical information manually is time-consuming, error-prone, and reduces overall efficiency. To tackle these challenges, organizations are progressively adopting automation solutions....

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  • Faster Recognition and Word Spelling Correction with Dynamsoft Label Recognizer 2.0

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    We have been cultivating a long-time interest in the field of optical character recognition (OCR). Today, we are excited to announce Dynamsoft Label Recognizer 2.0, which is revolutionary to version 1.0 in its ability to detect and recognize text in images. Highlighted Features Dynamsoft Label Recognizer 2.0 integrates OpenCV DNN...

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  • From Text Recognition to Data Control

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    Optical Character Recognition (OCR) helps users capture and recognize text information from images. However, basic OCR technology cannot meet the growing requirement for data control, meaning that in some complex scenarios, we may need to extract critical data from a specified region. Dynamsoft has developed some new extraction technologies powered...

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  • Introduction to Dynamsoft OCR SDK

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    OCR (Optical Character Recognition) is a technology used by computers to convert text in images into editable and searchable text data. It is implemented using pattern recognition and artificial intelligence. OCR is widely used for document recovery, data entry, accessibility, and various business applications. It eliminates the need for manual...

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  • Where and How is OCR Used

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    Optical Character Recognition (OCR) technology is a mature technology with widespread business use. Essentially, it enables users to extract text from an image so it can be manipulated in a word processor or database. In other words, it transforms a difficult-to-use image into meaningful content. So, what are some of...

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  • Recommended Scan Settings for the Best OCR Accuracy

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    Business productivity decreases when paper starts stacking up in the office, making it impossible to have an office workspace without a document scanner. Millions of paper documents are scanned daily to find, store, verify, and share information. This digital transit of documents requires fast and accurate OCR functionality working at...

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