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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

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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 })) });
});

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Stage 2: Extraction

async function extractInvoiceData(job) {
  const f

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