Creative Codes

AI & ML · Document AI

invoice_q3.pdf
INVOICE

Acme Corp · 142 Baker Street
London, UK · NW1 6XE

Date: Sept 3, 2024     Inv#: A-1849-C

Items:
 1x Enterprise Plan    $4,200.00
 1x Onboarding Fee       $800.00

                  TOTAL: $5,000.00

Payment due within 30 days.
Net-30. Bank transfer preferred.
structured output
{
  "vendor": "Acme Corp",
  "invoice_number": "A-1849-C",
  "date": "2024-09-03",
  "due_date": "2024-10-03",
  "line_items": [
    {
      "description": "Enterprise Plan",
      "amount": 4200
    },
    {
      "description": "Onboarding Fee",
      "amount": 800
    }
  ],
  "total": 5000,
  "currency": "USD",
  "confidence": 0.994
}

Documents go in. Structured data comes out.

We build document AI pipelines that extract, classify, and validate information from PDFs, invoices, contracts, forms, and scanned images. Every field comes with a confidence score. Low-confidence extractions go to review instead of through.

99.4% extraction accuracy on validated layouts15+ document types supported

Part of AI & Machine Learning services →

How it works

Every document goes through the same three stages.

01

Extract

Document arrives via upload, email, or API. OCR runs on scanned files. The extraction model pulls every field specified in your output schema.

02

Classify and validate

Each extracted field gets a confidence score. Low-confidence fields are flagged. Documents below your confidence threshold go to a human review queue. Nothing fails silently.

03

Output and route

Validated JSON is posted to your database, API, or spreadsheet. Webhooks fire downstream automations. The full extraction trace is logged for audit.

Document types

What we extract from.

Invoices and purchase orders

Line items, totals, vendor data, payment terms

Contracts and agreements

Parties, dates, clauses, obligations, termination

Application forms

Personal data, selections, signatures, attachments

Scanned and handwritten docs

OCR with quality scoring before extraction

Receipts and expense reports

Merchant, amount, category, date

ID and KYC documents

Name, DOB, document number, expiry, issuer

Stack

PythonClaude APIOpenAI APITesseract OCRFastAPIPostgreSQLLangChainPydantic

Have documents you need to extract data from?

Tell us the document type and what fields you need. We scope the extraction pipeline in a free call.

Book a discovery call

Have documents that need to become structured data?

Tell us the document type and what you need to extract. We'll scope the pipeline.

Scope a document pipeline