I Built Invoice Parsing That's 15x Faster (Here's How)

I Built Invoice Parsing That's 15x Faster (Here's How)

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I Built Invoice Parsing That's 15x Faster (Here's How)Amine

I Built Invoice Parsing That's 15x Faster (Here's How) The Problem Every B2B...

I Built Invoice Parsing That's 15x Faster (Here's How)

The Problem

Every B2B SaaS that deals with finances hits the same wall: How do you extract data from messy invoice PDFs?

I spent 6 months manually parsing invoices for a finance automation tool. It was hell:

  • 15 minutes per invoice
  • Constant errors (wrong amounts, missed line items)
  • Doesn't scale

What I Tried

Attempt 1: Tesseract OCR

import pytesseract
text = pytesseract.image_to_string('invoice.pdf')
# Parse with regex...
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60% accuracy, 3 seconds ❌ Too slow, too inaccurate

Attempt 2: Cloud Vision API

const result = await vision.documentTextDetection(invoice);
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Better accuracy, still 2 seconds ❌ Still too slow for real-time UX

Attempt 3: GPT-4 Vision

const result = await openai.chat.completions.create({
  model: "gpt-4-vision-preview",
  messages: [{role: "user", content: [...]}]
});
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❌ Accurate but $0.50/page, 5 seconds

The Solution

Built Invoice2JSON - custom ML model optimized for invoices.

Architecture

  1. Pre-processing Pipeline

    • Deskew rotated scans
    • Enhance low-quality images
    • Detect page orientation
  2. Vision Transformer

    • Understands document layout
    • Identifies regions (header, line items, total)
    • Context-aware extraction
  3. Field Extraction

    • NER model for specific fields
    • Confidence scoring per field
    • Multi-page aggregation
  4. Post-processing

    • Data validation
    • Currency normalization
    • JSON structure

Performance Optimizations

  1. Rust Backend
    Python: 847ms average
    Rust: 142ms average (6x faster)

  2. Edge Processing
    Cloudflare Workers in 200+ cities
    Reduced latency by 40%

  3. Model Quantization
    FP32 model: 234ms
    INT8 model: 142ms (same accuracy!)

  4. Async Architecture
    Webhook-first design
    No blocking requests
    Scales to 10K req/sec

Results

Before vs After comparison:

Metric Before After Improvement
Speed 3,247ms 142ms 23x faster
Accuracy 62% 99.9% 61% increase
Cost/page $0.50 $0.03 94% cheaper

Try It

const Invoice2JSON = require('invoice2json');
const client = new Invoice2JSON('sk_...');

const invoice = await client.parse('./invoice.pdf');
console.log(invoice.data);

// Output (142ms later):
// {
//   vendor: "Acme Corp",
//   total: 1250.00,
//   date: "2024-01-15",
//   line_items: [...],
//   confidence: 0.998
// }
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Free tier: invoice2json.com (25 invoices/month)

Questions?

Drop them in the comments! Happy to share more technical details.