All Developer Tutorials — Page 9 of 34
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Learn how to measure barcode scanning distance on iOS using ARKit and Swift. Discover why module size — not distance — is the real SDK performance indicator, with full source code and a step-by-step Swift implementation.
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Learn how to build an AI-powered MRZ scanner and barcode reader using Dynamsoft Capture Vision 3.2.1000's deep learning models — with benchmark results on real passport and 1D barcode datasets.
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Learn how to configure Dynamsoft Barcode Reader template parameters with a Python GUI tool. This tutorial walks through building an interactive parameter tuning tool that lets developers adjust JSON template settings in real time and test them against difficult barcode images.
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Learn how to read barcodes with Tesseract OCR in Python and improve barcode recognition accuracy for damaged images by combining Dynamsoft Barcode Reader with a Tesseract fallback — includes setup, sample code, validation strategy, and production troubleshooting tips.
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Learn how to build a Python script to compare pip package versions side by side using PySide6, OpenCV, and subprocess isolation — benchmark Dynamsoft Capture Vision SDK performance across versions with visual overlay results.
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Learn how to use Dynamic Web TWAIN's IsBlankImageAsync() to auto-detect and remove blank pages from scanned document batches in a browser-based JavaScript app.
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Learn how to build a Swift iOS MRZ scanner for ID cards and passports using SwiftUI. Covers AVFoundation camera setup, Apple Vision face and document detection, native OCR, and Dynamsoft MRZ SDK integration.
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Learn how to embed PDF in HTML using native iframe, embed, and object tags, or JavaScript libraries like Dynamsoft Document Viewer. Compare all methods for cross-browser, mobile-responsive, and annotation-capable PDF embedding.
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Step-by-step guide to building a Python IP camera barcode scanner using OpenCV, PySide6, and Dynamsoft Barcode Reader — supports 1D/2D barcodes over MJPEG streams.
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Step-by-step guide to building a cross-platform Java barcode scanner using LiteCam JNI for camera capture, ZXing for open-source detection, and Dynamsoft Barcode Reader 11.6.4000 for enterprise-grade accuracy — including CMake build setup and Maven integration.