Dynamsoft Codepool: SDK Tutorials and Sample Code for Developers

Read the IATA BCBP barcode on a boarding pass in JavaScript with Dynamsoft Barcode Reader, then parse the Resolution 792 payload into structured fields — passenger, PNR, route, flight, seat, baggage and frequent flyer data — with nine structural checks and WebCrypto verification of the security section's ECDSA signature.

Build a browser-side IATA BCBP boarding pass generator in JavaScript: write a Resolution 792 payload with its nested size fields, auto-sign the security section (items 25–30) with WebCrypto ECDSA P-256, render it as PDF417, Aztec Code, QR Code or Data Matrix, draw a printed or mobile pass preview on an...

Build a browser-side GS1 barcode generator in JavaScript: compose a validated GS1 element string from application identifiers, calculate GTIN and SSCC check digits, pick the symbology a real supply chain would use, render a test label on an HTML5 canvas, and export the result together with the exact parse a...

Generate AAMVA-compliant driver's license PDF417 barcodes in the browser for all 71 US, Canadian and Mexican jurisdictions, render them onto a card image, and use the PNG as test data for a driver's license scanner.

Follow this browser-based JavaScript barcode scanner tutorial to build a vanilla JS web app with Dynamsoft Barcode Reader v11.x: scan 1D/2D barcodes from a live webcam, JPG/PNG images, and video files, draw bounding-box overlays on a canvas, load custom scan templates, and benchmark detection rate and precision.

A step-by-step tutorial for building an Expo (React Native) app that reads the MRZ on passports and ID cards with the Dynamsoft MRZ Scanner native SDK through a hand-written Expo module — returning parsed fields, a perspective-corrected document image, and a cropped portrait photo.

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 3.6.2000) 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 3.4.1300) 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.

Benchmark MRZ recognition on 3,315 challenging MIDV-500 images — Dynamsoft Capture Vision vs. open-source PassportEye and FastMRZ on identical images and metrics.

Build a Python benchmark that generates low-resolution, low-light, glare, blur, and inverted barcode images, then shows how a fast Dynamsoft Barcode Reader template can improve accuracy without a large speed penalty.

Build a browser-based document scanner that captures from camera and scanner, straightens pages with Dynamsoft Capture Vision's document normalizer, and uploads directly to Google Drive cloud storage using TypeScript.

Learn how to choose a document capture solution for digitizing paper records by comparing TWAIN scanners, camera capture, and DWT Service REST API workflows by volume, document type, user location, and integration architecture.