All Developer Tutorials — Page 26 of 34

Build an Android document scanner in Jetpack Compose that acquires images from document scanners (Dynamic Web TWAIN Service REST API) and cameras, then runs document boundary detection and perspective correction with Dynamsoft Document Normalizer (capturevisionbundle 3.6.2000).

Learn how to build a cross-platform Python document scanner using Dynamic Web TWAIN Service's REST API. Connect to TWAIN, WIA, eSCL, SANE, and ICA scanners from Windows, macOS, and Linux with a single Python package.

Learn how to scan documents in Java using the REST APIs of Dynamic Web TWAIN Service. This step-by-step tutorial builds a cross-platform JavaFX desktop scanner app supporting TWAIN, WIA, eSCL, SANE, and ICA protocols with PDF export.

Step-by-step guide to integrating document scanning into a Power Apps Canvas App via the Dynamic Web TWAIN Service REST API and Power Automate flows.

Step-by-step Flutter TWAIN scanner tutorial: build a cross-platform document scanning app for Windows, Linux, and macOS using Dynamic Web TWAIN Service REST API. Covers TWAIN, WIA, eSCL, SANE, and ICA scanner protocols with Dart code examples.

Improve passport MRZ (Machine Readable Zone) detection in Python with the Dynamsoft Capture Vision bundle. Correct skewed and rotated passports using document edge detection, perspective transformation, and RetinaFace orientation fixes.

Learn how to build a document scanning REST API in Node.js using Dynamic Web TWAIN Service. Covers TWAIN/SANE/eSCL scanner access, Express + Socket.IO server-side scanning, and browser-based scan-to-image workflows.

Step-by-step guide to deploying Dynamsoft Barcode Reader on AWS Lambda with Python. Create a serverless REST API that decodes barcodes and QR codes from images via API Gateway.

Build a WinUI 3 barcode scanner in C# with the Dynamsoft.DotNet.BarcodeReader.Bundle NuGet package. Decode barcodes from image files, PDF documents, and the webcam using the CaptureVisionRouter API.

Build a headless barcode scanner on Raspberry Pi 4 with C++ - capture frames through Video4Linux2, decode barcodes with Dynamsoft Capture Vision, and show results on an optional SSD1306 OLED display or the console. No OpenCV, no GUI, and no WiringPi required.