Scan barcodes and QR codes using camera
In the past, scanning a QR code in a web application required downloading a massive WebAssembly (WASM) payload that ran a slow JavaScript port of a C++ image processing library (like ZXing).
This approach drained the device's battery rapidly, caused UI stuttering by blocking the main thread, and was often too slow to use comfortably on low-end mobile devices.
This tool utilizes the modern Barcode Detection API (part of the experimental Web Shape Detection API).
Instead of trying to run complex image processing algorithms in Javascript, the browser passes the raw video frame directly down to the underlying operating system (like the iOS Vision framework or Android ML Kit).
By utilizing the OS-level APIs, the browser can tap into the device's native hardware acceleration and Neural Processing Units (NPUs). This allows the device to instantly identify and decode 1D (UPC/EAN) and 2D (QR) barcodes with near-zero performance overhead, drawing almost no extra battery power.
Because the decoding happens directly via native APIs inside your browser, the video stream from your camera is never sent over the network.
This is critical for enterprise security. If a user scans a QR code containing an auth token or Wi-Fi password, they are guaranteed that the payload stays entirely on their physical device.
Why is the modern Barcode Detection API significantly faster than older JavaScript libraries?
