Prompt Title: PDF Payslip Extraction

Created 1 year ago
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Prompt Detail:

Building such a system involves several steps and requires combining multiple libraries. For brevity, I'll outline a simplified version that demonstrates the core concept.

Let's break the task into parts:

  1. Split the PDF into individual pages: For this, you can use the pdf-lib package.

  2. Extract text from each page: You can use the pdf-parse package.

  3. Extract phone numbers and names from the text: Regular expressions will help here.

  4. Send an email with extracted information: Use the nodemailer package.

Here's a simplified outline with sample code:

1. Setting up:

First, install the necessary packages:

bash
npm install pdf-lib pdf-parse nodemailer
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2. Code:

javascript
const { PDFDocument } = require('pdf-lib'); const pdf = require('pdf-parse'); const nodemailer = require('nodemailer'); async function extractDataFromPDF(buffer) { let data = await pdf(buffer); // Using a basic regular expression for demonstration purposes let phoneRegex = /(\+?\d{1,3}?[-.\s]?)?(\d{2,4}[-.\s]?\d{2,4}[-.\s]?\d{2,4})/g; let nameRegex = /Name:\s*([A-Za-z\s]+)/; // Assumes format: "Name: John Doe" let phone = data.text.match(phoneRegex); let nameMatch = data.text.match(nameRegex); let name = nameMatch && nameMatch[1]; return { phone, name }; } async function sendEmail(details) { let transporter = nodemailer.createTransport({ // Replace with your email configuration service: 'gmail', auth: { user: '[email protected]', pass: 'YOUR_PASSWORD' } }); let mailOptions = { from: '[email protected]', to: '[email protected]', subject: 'Payslip Details', text: `Name: ${details.name}, Phone: ${details.phone}` }; transporter.sendMail(mailOptions); } async function processPDF(pdfBuffer) { const pdfDoc = await PDFDocument.load(pdfBuffer); const pageCount = pdfDoc.getPageCount(); for (let i = 0; i < pageCount; i++) { const [page] = await pdfDoc.copyPages(pdfDoc, [i]); const singlePageDoc = await PDFDocument.create(); singlePageDoc.addPage(page); const pageBuffer = await singlePageDoc.save(); const details = await extractDataFromPDF(pageBuffer); // Send email with the extracted details await sendEmail(details); } } // Load the PDF and begin processing const fs = require('fs'); fs.readFile('./path_to_your_pdf.pdf', async (err, data) => { if (err) throw err; await processPDF(data); });
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Remember:

  • Replace placeholders (YOUR_EMAIL, YOUR_PASSWORD, RECIPIENT_EMAIL, and ./path_to_your_pdf.pdf) with your actual values.

  • The regex patterns for extracting phone numbers and names are quite basic. In a real-world scenario, you'd need more robust patterns or other techniques to ensure accurate extraction.

  • Handling emails in this way exposes your email/password. In production, you'd want a safer mechanism, like OAuth2 authentication or using an email service API.

  • To avoid getting blocked or flagged by Gmail, consider using a dedicated email sending service like SendGrid or Mailgun.

  • Make sure you have permission to process and email personal data. Handling sensitive data has legal implications (e.g., GDPR, CCPA), so ensure compliance with all relevant regulations.

create nodejs code that receives the payslips of the employees in one pdf, which contains all the slips of everyone, splits into pages, analyzes the text, extracts a phone number, name, and a few details from it and sends it to an email
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Eli Maor
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Created 1 year ago

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