Tag: dcv

Step-by-step guide to building a C# .NET WinForms desktop application that reads barcodes and QR codes, detects and normalizes documents, and parses MRZ data from passports and ID cards using the Dynamsoft Capture Vision Bundle SDK.

Step-by-step tutorial for developers: convert a vanilla-JS Dynamsoft vision scanner to a production-ready React application. Covers React hooks, SDK integration, camera capture, MRZ parsing, and document rectification.

The tutorial demonstrates how to build a Golang Barcode QR Code Reader with the C bridge of Dynamsoft Capture Vision SDK on Windows, Linux, and macOS, as well as how to deploy the application to Docker.

Learn how to build a cross-platform C++ barcode and QR code reader using Dynamsoft Capture Vision SDK v11 with CMake, supporting Windows, Linux, macOS, Raspberry Pi, and Jetson Nano.

Learn how bulk document scanning simplifies large-scale data management for enterprises. Build a production-ready auto-scan document processing solution with automatic image cropping and barcode extraction using Dynamsoft Capture Vision SDK. Complete tutorial covering enterprise deployment strategies for processing 50,000+ documents per month.

Learn how to build a Model Context Protocol (MCP) server that helps AI assistants generate accurate code for barcode scanning and document processing across mobile, web, and desktop platforms.

Learn how to build a comprehensive MRZ recognition app on Android using Dynamsoft MRZ Scanner SDK and Google ML Kit. This guide covers live camera scanning, document capture, face extraction, and detailed MRZ parsing for passports and ID cards.

Tested Claude, Gemini, GPT-5, and Grok on writing Python barcode scanner code. Only one got the Dynamsoft SDK right — here's how a custom AI agent definition achieves 100% accuracy.

Compare ZXing-Cpp, PyZBar, and Dynamsoft Barcode Reader in Python with benchmark data from 1,710 test cases — covering angled barcodes (15°–75°), multiple barcodes per image (2–20 codes), and 170 real-world production images. Includes accuracy rates, detection times, and code samples for each SDK.

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.

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.

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.

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 for enterprise-grade accuracy — including CMake build setup and Maven integration.

Step-by-step Qt C++ barcode scanner integration tutorial for Windows. Build a Qt 6.7.2 MSVC app with C++17 that decodes QR codes, Code 128, and DataMatrix from image files and a live webcam using Dynamsoft Barcode Reader C++ SDK and OpenCV.

Learn how to leverage AI agents to build a Python desktop application with barcode scanning, document normalization, and MRZ reading using the Dynamsoft Capture Vision SDK — through iterative AI-assisted development.

Step-by-step Android MRZ passport scanner code example using Dynamsoft MRZ Scanner SDK, CameraX, and ML Kit — with face detection, document rectification, and PDF export.

Learn how to build a Python Tkinter GUI barcode scanner that reads 1D/2D barcodes from multi-page PDF files using the Dynamsoft Capture Vision SDK — includes a CLI reference tool and an AI-generated GUI app with drag-and-drop, annotations, and multi-format export.

A step-by-step Python OCR tutorial for SEMI font recognition on semiconductor wafers. Learn how to load a custom dot-matrix font model and extract characters from wafer images using Dynamsoft Capture Vision SDK on Windows, Linux, and macOS.

Step-by-step guide to using the Dynamsoft Capture Vision JavaScript SDK for barcode scanning, MRZ reading, and document boundary detection — from image files and a live camera feed in the browser.

Step-by-step guide to building an offline Flutter document scanner for Android and iOS using Dynamsoft Capture Vision Flutter 3.4.3000. Covers auto edge detection, perspective correction, manual crop editing, color-mode switching, and PNG export.

Learn how to decode GS1-128 barcodes and parse GS1 Application Identifiers (AIs) in Python using Dynamsoft Capture Vision SDK. Step-by-step tutorial with full source code.

Learn how to improve MRZ reading accuracy in C++ from 65% to 95% using Dynamsoft's deep learning model — a step-by-step C++ passport scanner deep learning tutorial covering camera integration, result parsing, and cross-platform CMake setup.

Build a Node.js camera SDK with node-gyp and the C++ LiteCam library, then use it with Dynamsoft Capture Vision to create a cross-platform desktop multi-barcode scanner on Windows, Linux, and macOS.

Step-by-step tutorial to build a Next.js client-side ID card scanner component that reads MRZ and PDF417 barcodes from passports, driver's licenses, and ID cards via camera using Dynamsoft Capture Vision SDK.

The article talks about how to control camera focus with JavaScript using getUserMedia in a web application. It can adjust the focus mode, the focus distance and support tap to focus.

Step-by-step C# tutorial to build a cross-platform passport and ID card MRZ scanner for Android and iOS using .NET MAUI and the Dynamsoft Capture Vision SDK. Includes camera setup, real-time MRZ recognition, and parsed result display.

Read 1D and 2D barcodes (QR Code, Code 128, EAN-13, DataMatrix, PDF417) from multi-page PDF files in Node.js with Dynamsoft Capture Vision. A single captureMultiPagesAsync() call decodes every page and reports the page number for each barcode.

Step-by-step guide to building a Python barcode and QR code scanner that reads barcodes from images and webcam streams on Windows, Linux, and macOS using the Dynamsoft Capture Vision SDK and OpenCV.

Build a cross-platform C++ passport MRZ scanner with CMake and OpenCV. This step-by-step tutorial covers TD1, TD2, and TD3 machine-readable zone recognition and field parsing using the Dynamsoft Capture Vision SDK on Windows and Linux, with ready-to-run source code.

Learn how to build an Angular MRZ scanner app that reads and parses passport Machine Readable Zones from image files and live camera streams using the Dynamsoft Capture Vision SDK.

Learn how to detect document edges and auto-crop scanned documents in Angular using the Dynamsoft Capture Vision SDK — from image files and live camera streams.

Step-by-step tutorial to build an Angular barcode and QR code scanner component using Dynamsoft Capture Vision SDK — includes image decoding and live camera scanning.

Step-by-step guide to building a Salesforce Lightning Web Component (LWC) that accesses the device camera, captures a document image, crops it server-side, and stores the result on a Lead record.

Step-by-step C++ tutorial: scan 1D barcodes and recognize OCR text labels from camera frames using Dynamsoft Capture Vision SDK with OpenCV on Windows and Linux.

Step-by-step tutorial on controlling camera zoom in a JavaScript web app using the getUserMedia API and Dynamsoft Camera Enhancer, with cross-browser fallback via CSS and WebGL.

Build a web-based parcel scanner that reads 1D barcodes and extracts surrounding text labels in any orientation using Dynamsoft Capture Vision JavaScript SDK.

Build a Flutter barcode scanner that reads multiple 1D barcodes, QR codes, and DataMatrix codes at once on Android and iOS using the Dynamsoft Capture Vision SDK.

Learn how to use a JSON-based Domain-Specific Language (DSL) to configure document scanning, barcode reading, and text recognition tasks in Dynamsoft Capture Vision — with cross-platform template reuse.

Learn how to capture high-resolution photos in the browser using JavaScript getUserMedia, the Image Capture API, and HTML Media Capture — up to 4K resolution for document scanning and barcode reading.

Build a custom barcode and QR code detection node for Node-RED with the Dynamsoft Capture Vision SDK. This guide shows how to decode barcodes from image files, PDF/TIFF documents, and base64 strings, and emit structured results (format, text, confidence, location) into your Node-RED flows.

Build a Node.js command-line MRZ scanner for passports, ID cards, and visas with Dynamsoft Capture Vision — one captureAsync() call returns parsed document fields and raw MRZ lines, with no native build step or OpenCV dependency.

Step-by-step tutorial to integrate a barcode and QR code scanner into a Python Django web app using the Dynamsoft Capture Vision SDK for server-side decoding of 1D and 2D barcodes.

Learn how to access browser cameras in JavaScript using the getUserMedia API and Dynamsoft Camera Enhancer SDK. Build a cross-platform web camera viewer with camera selection, frame capture, and HTTPS deployment for iOS, Android, and desktop browsers.

Build a Python desktop QR code scanner that reads barcodes directly from screen captures using Qt (PySide6), OpenCV, and the Dynamsoft Barcode Reader SDK.

Learn how to build a cross-platform GUI Python barcode and QR code reader for Windows, Linux, macOS, and Raspberry Pi OS using Qt Designer, PySide6, and the Dynamsoft Capture Vision SDK.

Learn how to build a Python GUI barcode scanner on Raspberry Pi using Qt PySide6, OpenCV, and Dynamsoft Barcode Reader SDK — with multiprocessing to prevent UI freezing during live webcam scanning.

Learn how to scan nonstandard and damaged 1D barcodes with custom start/stop characters using Dynamsoft Barcode Reader in Python. Includes custom JSON templates for Code 39 variants with HeadModuleRatio and TailModuleRatio.