Tag: document-detection

Build a SwiftUI iOS app that scans MRZ on passports and ID cards in real-time using Dynamsoft Capture Vision SDK with document and portrait overlays.

Learn how to build a JavaScript passport MRZ scanner that extracts structured MRZ fields, document borders, and portrait photos in the browser with Dynamsoft Capture Vision.

Learn how to build a .NET MAUI Blazor app that scans barcodes, reads MRZ from travel documents, and detects document boundaries using Dynamsoft Capture Vision SDK v3.2 — targeting Android, iOS, macOS, and Windows from a single codebase.

Step-by-step guide to building a browser-based multi-page document scanner in JavaScript with real-time boundary detection, perspective correction, and PDF export using the Dynamsoft Capture Vision SDK — no backend required.

Step-by-step guide to building a Java Swing desktop document scanner that detects and deskews document boundaries from a live camera feed using Dynamsoft Capture Vision SDK DDN v3.4.1000 — no OpenCV required.

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.

Complete developer tutorial: package a Dynamsoft Capture Vision barcode, MRZ, and document-scanner as a cross-platform Electron desktop application. Covers main-process architecture, camera permissions, CSP configuration, context isolation, and distribution with electron-builder.

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.

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.