EDC Invoice OCR

Extract INV/ number and Amount from Flutter Canvas on EDC.com.kh portal

Tendrás que instalar una extensión para tu navegador como Tampermonkey, Greasemonkey o Violentmonkey si quieres utilizar este script.

You will need to install an extension such as Tampermonkey to install this script.

Necesitarás instalar una extensión como Tampermonkey o Violentmonkey para instalar este script.

Necesitarás instalar una extensión como Tampermonkey o Userscripts para instalar este script.

Necesitará instalar una extensión como Tampermonkey para instalar este script.

Necesitarás instalar una extensión para administrar scripts de usuario si quieres instalar este script.

(Ya tengo un administrador de scripts de usuario, déjame instalarlo)

Necesitará instalar una extensión como Stylus para instalar este estilo.

Necesitará instalar una extensión como Stylus para instalar este estilo.

Necesitará instalar una extensión como Stylus para instalar este estilo.

Necesitará instalar una extensión del gestor de estilos de usuario para instalar este estilo.

Necesitará instalar una extensión del gestor de estilos de usuario para instalar este estilo.

Necesitará instalar una extensión del gestor de estilos de usuario para instalar este estilo.

(Ya tengo un administrador de estilos de usuario, déjame instalarlo)

// ==UserScript==
// @name         EDC Invoice OCR
// @namespace    lychanraksmey.eu.org
// @version      2.1
// @description  Extract INV/ number and Amount from Flutter Canvas on EDC.com.kh portal
// @author       LCR
// @match        https://portal.edc.com.kh/public/invoice/*
// @grant        GM_setClipboard
// @require      https://cdn.jsdelivr.net/npm/[email protected]/dist/tesseract.min.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/dist/html2canvas.min.js
// @icon         https://www.google.com/s2/favicons?sz=64&domain=edc.com.kh
 // @license     MIT 
// ==/UserScript==

(function () {
    'use strict';

    function filterDarkBackground(canvas) {
        const ctx = canvas.getContext('2d');
        const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
        const data = imageData.data;

        for (let i = 0; i < data.length; i += 4) {
            const r = data[i];
            const g = data[i + 1];
            const b = data[i + 2];
            const brightness = (0.299 * r + 0.587 * g + 0.114 * b);

            // If pixel is bright (Text), make it BLACK (0).
            // Otherwise (Background), make it WHITE (255).
            if (brightness > 150) {
                data[i] = 0;
                data[i+1] = 0;
                data[i+2] = 0;
            } else {
                data[i] = 255;
                data[i+1] = 255;
                data[i+2] = 255;
            }
        }
        ctx.putImageData(imageData, 0, 0);
        return canvas;
    }

    function filterGreenBox(canvas) {
        const ctx = canvas.getContext('2d');
        const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
        const data = imageData.data;

        for (let i = 0; i < data.length; i += 4) {
            const r = data[i];
            const g = data[i + 1];
            const b = data[i + 2];
            const brightness = (0.299 * r + 0.587 * g + 0.114 * b);
            const isGreen = (g > 150 && r < 150 && b < 150);

            if (brightness > 200) { // Very bright pixel (The White Text)
                data[i] = 0;     // Text is Black
                data[i+1] = 0;
                data[i+2] = 0;
            } else if (isGreen) {
                data[i] = 255;   // Background is White
                data[i+1] = 255;
                data[i+2] = 255;
            } else { // e.g., dark borders
                data[i] = 255;
                data[i+1] = 255;
                data[i+2] = 255;
            }
        }
        ctx.putImageData(imageData, 0, 0);
        return canvas;
    }

    async function runOCR(btn, regexPattern, mode) {
        btn.disabled = true;
        btn.textContent = 'Capturing...';
        btn.style.backgroundColor = '#999';
        try {
            const fullCanvas = await html2canvas(document.body, {
                scale: 2.5, // Even higher scale for sharper text
                useCORS: true,
                allowTaint: true,
                ignoreElements: (el) => el.tagName === 'BUTTON'
            });
            let startY, cropHeight, cropWidth;
            if (mode === 'PRICE') {
                startY = fullCanvas.height * 0.1; // start around 10% from top
                cropHeight = fullCanvas.height * 0.15; // 15% height should cover it
                cropWidth = fullCanvas.width;
            } else { // INV
                startY = fullCanvas.height * 0.20; // Start below the green box
                cropHeight = fullCanvas.height * 0.25;
                cropWidth = fullCanvas.width;
            }

            const croppedCanvas = document.createElement('canvas');
            croppedCanvas.width = cropWidth;
            croppedCanvas.height = cropHeight;
            const ctx = croppedCanvas.getContext('2d');


            ctx.drawImage(fullCanvas, // Draw only the cropped area
                0, startY, cropWidth, cropHeight, // Source (fullCanvas)
                0, 0, cropWidth, cropHeight      // Destination (croppedCanvas)
            );
            btn.textContent = 'Filtering...';
            if (mode === 'PRICE') {
                filterGreenBox(croppedCanvas);
            } else {
                filterDarkBackground(croppedCanvas);
            }

            // Show processed image for debugging purpose
            document.body.appendChild(croppedCanvas);
            croppedCanvas.style.cssText = `position:fixed; bottom:10px; left:10px; width: 400px; border:2px solid ${mode === 'PRICE' ? 'green' : 'red'}; z-index:10000;`;

            btn.textContent = 'Finding...';
            const { data: { text } } = await Tesseract.recognize(croppedCanvas, 'eng'); // eng+khm

            console.log(`[${mode}] OCR Output:`, text);
            const match = text.match(regexPattern);

            if (match) {
                let result = match[0];
                if (mode === 'PRICE') {
                    result = result.replace(/[^\d,.]/g, ''); // Remove spaces and anything that isn't a digit or comma/dot
                }

                GM_setClipboard(result);
                btn.textContent = result + ' Copied!';
                btn.style.backgroundColor = '#4caf50';
            } else {
                alert(`Pattern not found in the processed image for ${mode}. Check Console (F12) to see what Tesseract read.`);
                btn.textContent = 'Failed';
                btn.style.backgroundColor = 'red';
            }

        } catch (err) {
            console.error(err);
            alert(`Error during ${mode} capture. Check console.`);
            btn.textContent = 'Error';
            btn.style.backgroundColor = 'red';
        } finally {
            setTimeout(() => {
                btn.disabled = false;
                btn.textContent = mode === 'INV' ? 'Scan INV/' : 'Scan ៛';
                btn.style.backgroundColor = mode === 'INV' ? '#d32f2f' : '#0288d1';
            }, 3000);
        }
    }
function createContainer(topPercent) {
    const container = document.createElement('div');
    container.id = 'ocr-button-container';
    Object.assign(container.style, {
        position: 'fixed',
        top: topPercent,
        left: '50%',
        transform: 'translateX(-50%)',
        zIndex: 10000,
        display: 'flex',
        //flexDirection: 'column',
        gap: '10px',
        alignItems: 'center',
        padding: '10px',
        background: 'rgba(33, 33, 33, 0.8)',
        borderRadius: '8px',
        boxShadow: '0 4px 12px rgba(0,0,0,0.5)'
    });
    document.body.appendChild(container);
    return container;
}

    function createBtn(text, container, color, regex, mode) {
        const btn = document.createElement('button');
        btn.textContent = text;
        Object.assign(btn.style, {
            padding: '8px 12px',
            backgroundColor: color,
            color: 'white',
            border: 'none',
            borderRadius: '4px',
            cursor: 'pointer',
            fontFamily: 'sans-serif',
            fontWeight: 'bold',
            width: '150px' // Give buttons a uniform width
    });

        btn.onclick = () => runOCR(btn, regex, mode);
        container.appendChild(btn);
    }
    setTimeout(() => {
        const buttonContainer = createContainer('0%');
        createBtn('Scan for INV/', buttonContainer, '#d32f2f', /INV\/\d+/, 'INV');
        // regx : Looks for a number that contains a comma | (backup):  /[៛]?\s?[\d]+[\s,,٫٬]+[\d]+/
        createBtn('Scan for ៛', buttonContainer, '#0288d1', /\d{1,3}[,.]\d{3}/, 'PRICE');
    }, 2000);

})();