Tag: macos

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.

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 building a cross-platform SwiftUI remote document scanner for macOS and iOS. Uses the Dynamic Web TWAIN REST API to scan documents over the network via TWAIN, ESCL, SANE, ICA, and WIA scanners.

Test macOS document scanning apps without hardware by installing the prebuilt virtual scanner package or building a modernized Apple VirtualScanner sample, feeding custom images, enabling ADF multi-page scans, and verifying results in Image Capture and Dynamic Web TWAIN.

Step-by-step guide to building a macOS framework that wraps the Dynamsoft C++ Barcode SDK in Objective-C++ for Swift and SwiftUI integration. Covers Objective-C++ bridging, framework creation in Xcode, and CocoaPods publishing.

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 C++ barcode scanner macOS AVFoundation tutorial. Bridge Objective-C with C++ to capture camera frames via AVFoundation, render them with Cocoa, and decode barcodes using the Dynamsoft Barcode Reader SDK — no OpenCV required.

Step-by-step tutorial to integrate a C++ barcode SDK into a macOS SwiftUI app via an Objective-C++ bridge. Covers Xcode project setup, camera capture, real-time 1D/2D barcode detection, and overlay rendering.

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 Python MRZ reader for desktop using the Dynamsoft Capture Vision SDK. Extract passport, visa, and ID card MRZ fields from static images and real-time webcam streams on Windows, Linux, and macOS.

Step-by-step Python tutorial for detecting document edges, auto-cropping scanned documents, and correcting orientation using Dynamsoft Capture Vision SDK and Tesseract OCR on Windows, Linux, and macOS.

Step-by-step guide to building a cross-platform command-line barcode and QR code reader in Rust using FFI bindings to the Dynamsoft C++ Capture Vision SDK. Covers project setup, C++ bridge implementation, and both interactive and batch processing modes on Windows, Linux, and macOS.

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.