
QR code encoder and decoder tools that help you quickly generate QR codes from given contents and decode QR codes from images.
How to use it:
Install the package.
# Yarn $ yarn add @nuintun/qrcode # NPM $ npm install @nuintun/qrcode --save
Import modules as per your needs.
// encoder
import { Alphanumeric, Byte, Encoder, Hanzi, Kanji, Numeric } from '@nuintun/qrcode';
// decoder
import { binarize, Decoder, Detector, grayscale } from '@nuintun/qrcode';Encoder
Generate a QR code from the content you provide.
const encoder = new Encoder({
hints?: { fnc1?: FNC1 };
version?: 'Auto' | number;
level?: 'L' | 'M' | 'Q' | 'H';
encode?: (content: string, charset: Charset) => Uint8Array;
});
const qrcode = encoder.encode(
// Hanzi
new Hanzi('你好世界'),
// Byte
new Byte('\nhello world\n'),
// Kanji
new Kanji('こんにちは世界')
);
console.log(qrcode.toDataURL());Encoder Interface:
export class Alphanumeric {
public constructor(content: string);
}
export class Byte {
public constructor(content: string, charset?: Charset);
}
export class Hanzi {
public constructor(content: string);
}
export class Kanji {
public constructor(content: string);
}
export class Numeric {
public constructor(content: string);
}
export interface EncoderOptions {
hints?: { fnc1?: FNC1 };
version?: 'Auto' | number;
level?: 'L' | 'M' | 'Q' | 'H';
encode?: (content: string, charset: Charset) => Uint8Array;
}
declare interface DataURLOptions {
margin?: number;
foreground?: [R: number, G: number, B: number];
background?: [R: number, G: number, B: number];
}
export class Encoded {
public size: number;
public mask: number;
public level: string;
public version: number;
public get(x: number, y: number): number;
public toDataURL(moduleSize: number, options?: DataURLOptions): string;
}
export class Encoder {
public constructor(options?: EncoderOptions);
public encode(...segments: (Alphanumeric | Byte | Hanzi | Kanji | Numeric)[]): Encoded;
}Decoder:
Decode the QR code data from an image you provide.
const image = new Image();
image.crossOrigin = 'anonymous';
image.addEventListener('error', () => {
console.error('image load error');
});
image.addEventListener('load', () => {
const { width, height } = image;
const canvas = new OffscreenCanvas(width, height);
const context = canvas.getContext('2d')!;
context.drawImage(image, 0, 0);
const luminances = grayscale(context.getImageData(0, 0, width, height));
const binarized = binarize(luminances, width, height);
const detector = new Detector();
const detected = detector.detect(binarized);
const decoder = new Decoder();
let current = detected.next();
while (!current.done) {
let succeed = false;
const detect = current.value;
try {
const { size, finder, alignment } = detect;
const decoded = decoder.decode(detect.matrix);
// Finder
const { topLeft, topRight, bottomLeft } = finder;
// Corners
const topLeftCorner = detect.mapping(0, 0);
const topRightCorner = detect.mapping(size, 0);
const bottomRightCorner = detect.mapping(size, size);
const bottomLeftCorner = detect.mapping(0, size);
// Timing
const topLeftTiming = detect.mapping(6.5, 6.5);
const topRightTiming = detect.mapping(size - 6.5, 6.5);
const bottomLeftTiming = detect.mapping(6.5, size - 6.5);
console.log({
content: decoded.content,
finder: [topLeft, topRight, bottomLeft],
alignment: alignment ? alignment : null,
timing: [topLeftTiming, topRightTiming, bottomLeftTiming],
corners: [topLeftCorner, topRightCorner, bottomRightCorner, bottomLeftCorner]
});
succeed = true;
} catch {
// Decode failed, skipping...
}
// Notice: pass succeed to next() is very important,
// This can significantly reduce the number of detections.
current = detected.next(succeed);
}
});
image.src = '/path/to/qrcode.jpg';Decoder Interface:
export class BitMatrix {
public constructor(width: number, height: number, bits?: Int32Array);
public get width(): number;
public get height(): number;
public set(x: number, y: number): void;
public get(x: number, y: number): number;
public flip(): void;
public flip(x: number, y: number): void;
public clone(): BitMatrix;
public setRegion(left: number, top: number, width: number, height: number): void;
}
export class Point {
public get x(): number;
public get y(): number;
}
export class Pattern extends Point {
public get moduleSize(): number;
}
declare class FinderPatternGroup {
public get topLeft(): Pattern;
public get topRight(): Pattern;
public get bottomLeft(): Pattern;
}
export class Detected {
public get matrix(): BitMatrix;
public get finder(): FinderPatternGroup;
public get alignment(): Pattern | undefined;
public get size(): number;
public get moduleSize(): number;
public mapping(x: number, y: number): Point;
}
declare interface Structured {
readonly index: number;
readonly count: number;
readonly parity: number;
}
export class Decoded {
public get mask(): number;
public get level(): string;
public get version(): number;
public get mirror(): boolean;
public get content(): string;
public get corrected(): number;
public get symbology(): string;
public get fnc1(): FNC1 | false;
public get codewords(): Uint8Array;
public get structured(): Structured | false;
}
export function grayscale(imageData: ImageData): Uint8Array;
export function binarize(luminances: Uint8Array, width: number, height: number): BitMatrix;
export interface DetectorOptions {
strict?: boolean;
}
export class Detector {
public constructor(options?: DetectorOptions);
public detect(binarized: BitMatrix): Generator<Detected, void, boolean>;
}
export interface DecoderOptions {
decode?: (bytes: Uint8Array, charset: Charset) => string;
}
export class Decoder {
public constructor(options?: DecoderOptions);
public decode(matrix: BitMatrix): Decoded;
}Changelog:
v5.0.2 (04/07/2025)
- Update







thank you, it helped me