All Developer Tutorials — Page 2 of 34

A step-by-step tutorial for building an Expo (React Native) barcode scanner app that decodes 1D and 2D barcodes with the Dynamsoft Capture Vision native SDK through a hand-written Expo module — live camera scanning, photo-picker scanning, and result overlays with corner points.

Build a cross-platform Ionic Vue QR code and barcode scanner powered by the Dynamsoft Capture Vision native SDK (capturevisionbundle 3.6.4000) on Android and iOS. Two data sources, no JavaScript SDK, real-time native overlay.

Build a cross-platform Ionic Vue ID card and passport MRZ scanner that runs the Dynamsoft MRZ Scanner native SDK (mrzscannerbundle 3.6.2000) on Android and iOS, with both camera and gallery / file data sources, portrait photo extraction, and a deskewed document image produced by the same capture pipeline.

Install the Dynamsoft Agent Skill to teach Claude Code, Cursor, Copilot, and other AI coding assistants to generate accurate, up-to-date Dynamsoft SDK code for barcode, MRZ, and document capture workflows.

An auditable JavaScript/WASM benchmark of zxing-wasm 3.1.2 and Dynamsoft Barcode Reader on 7,894 real BarBeR images, with a migration guide and a direct comparison to the C++ and Python runs.

Build an auditable Python benchmark for ZXing-C++ 3.1.1 and Dynamsoft Barcode Reader on 7,894 real BarBeR images, with a direct comparison to the C++ benchmark.

Hands-on benchmarks for Dynamsoft Barcode Reader Python 11.6.1000: PDFRM_MULTIMODAL cuts PDF barcode decoding from 263 ms to 3 ms on a text-based PDF, breadth-first multi-threaded decoding takes up to 48% less time on dense barcode images, and the new LayoutAnalyzer recovers missed barcodes in dense N×M grid layouts.

Build a browser-based MRZ benchmark with JavaScript comparing Dynamsoft Capture Vision vs Scanbot on 3,315 MIDV-500 images — Dynamsoft reached 46.49% exact accuracy vs 42.78% at ~45% lower average scan time.

Build an auditable C++ benchmark for ZXing-C++ and Dynamsoft Barcode Reader using 7,894 real images from the BarBeR dataset.

Build a PySide6 desktop document scanner with Python and Dynamsoft Capture Vision. Detect, normalize, filter, and export pages from a webcam or image files.