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@thecodingwhale/cv-processor

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CV Processor to extract structured data from PDF resumes using TypeScript

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"use strict"; var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) { if (k2 === undefined) k2 = k; var desc = Object.getOwnPropertyDescriptor(m, k); if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) { desc = { enumerable: true, get: function() { return m[k]; } }; } Object.defineProperty(o, k2, desc); }) : (function(o, m, k, k2) { if (k2 === undefined) k2 = k; o[k2] = m[k]; })); var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) { Object.defineProperty(o, "default", { enumerable: true, value: v }); }) : function(o, v) { o["default"] = v; }); var __importStar = (this && this.__importStar) || (function () { var ownKeys = function(o) { ownKeys = Object.getOwnPropertyNames || function (o) { var ar = []; for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k; return ar; }; return ownKeys(o); }; return function (mod) { if (mod && mod.__esModule) return mod; var result = {}; if (mod != null) for (var k = ownKeys(mod), i = 0; i < k.length; i++) if (k[i] !== "default") __createBinding(result, mod, k[i]); __setModuleDefault(result, mod); return result; }; })(); var __importDefault = (this && this.__importDefault) || function (mod) { return (mod && mod.__esModule) ? mod : { "default": mod }; }; Object.defineProperty(exports, "__esModule", { value: true }); exports.TextExtractor = void 0; const fs = __importStar(require("fs")); const path = __importStar(require("path")); const pdf_parse_1 = __importDefault(require("pdf-parse")); const Tesseract = __importStar(require("tesseract.js")); /** * Class for extracting text from PDF documents */ class TextExtractor { /** * Extract text from a PDF file, with OCR fallback if needed */ async extractTextFromPDF(pdfPath) { console.log(`Extracting text from PDF: ${pdfPath}`); try { // Read the PDF file const dataBuffer = fs.readFileSync(pdfPath); // Parse the PDF const pdfData = await (0, pdf_parse_1.default)(dataBuffer); const text = pdfData.text; // Check if we got meaningful text (more than just whitespace) if (text.trim().length > 100) { // Assuming a CV would have at least 100 chars console.log('Successfully extracted text from PDF'); return text; } // If not much text was extracted, try OCR console.log('Not enough text extracted, trying OCR...'); return this.extractTextWithOCR(pdfPath); } catch (error) { console.error(`Error extracting text from PDF: ${error}`); // Fallback to OCR console.log('Falling back to OCR due to error'); return this.extractTextWithOCR(pdfPath); } } /** * Extract text using OCR with Tesseract.js * Note: This is a simplified implementation as converting PDF pages to images * is more complex in Node.js than in Python */ async extractTextWithOCR(pdfPath) { console.log('Starting OCR processing...'); try { // For a production implementation, you would: // 1. Convert PDF pages to images using a library like pdf2pic or pdf-poppler // 2. Process each image with Tesseract // 3. Combine the results // This is a simplified placeholder that assumes you have already converted // the first page to an image (a full implementation would loop through all pages) const pdfName = path.basename(pdfPath, path.extname(pdfPath)); const imagePath = `${pdfName}_page_1.png`; // Check if the image exists (in a real implementation, you'd generate this) if (!fs.existsSync(imagePath)) { console.warn(`Image ${imagePath} not found for OCR. Would need PDF to image conversion first.`); return 'Error: PDF to image conversion required for OCR.'; } // Perform OCR on the image const { data } = await Tesseract.recognize(imagePath, 'eng'); console.log('OCR processing completed'); return data.text; } catch (error) { console.error(`Error extracting text with OCR: ${error}`); return 'Error: Could not extract text from PDF.'; } } } exports.TextExtractor = TextExtractor;