Back to KB
Difficulty
Intermediate
Read Time
4 min
Building an Automated Invoice Processing Pipeline with Node.js
By Codcompass TeamΒ·Β·4 min read
Accounts payable teams spend an average of 3.7 minutes manually processing each invoice. At 200 invoices per month, that's 12+ hours of data entry. Here's how to build an automated pipeline that brings this to under 10 seconds per document.
Pipeline Architecture
Email/SFTP/API β Receive β Extract β Validate β Enrich β Store β Notify
Enter fullscreen mode Exit fullscreen mode
Each stage is independent and can fail gracefully without losing the document.
Stage 1: Document Ingestion
Accept invoices from multiple sources:
const express = require('express');
const multer = require('multer');
const path = require('path');
const upload = multer({
dest: '/tmp/invoices',
limits: { fileSize: 20 * 1024 * 1024 }, // 20MB
fileFilter: (req, file, cb) => {
const allowed = ['.pdf', '.docx', '.xlsx', '.png', '.jpg'];
const ext = path.extname(file.originalname).toLowerCase();
cb(null, allowed.includes(ext));
},
});
app.post('/api/invoices/upload', upload.array('files', 20), async (req, res) => {
const jobs = req.files.map(file => ({
id: generateJobId(),
path: file.path,
filename: file.originalname,
status: 'queued',
}));
await queue.addBatch(jobs);
res.json({ jobs: jobs.map(j => ({ id: j.id, status: j.status })) });
});
Enter fullscreen mode Exit fullscreen mode
Stage 2: Extraction
async function extractInvoiceData(job) {
const f
π Mid-Year Sale β Unlock Full Article
Base plan from just $4.99/mo or $49/yr
Sign in to read the full article and unlock all 635+ tutorials.
Sign In / Register β Start Free Trial7-day free trial Β· Cancel anytime Β· 30-day money-back
