Document Processing Agents

Document Processing Automation

import anthropic
from pathlib import Path
import json

client = anthropic.Anthropic()

def process_invoice(pdf_path: str) -> dict:
    """Extract structured data from PDF invoices."""
    import base64
    with open(pdf_path,"rb") as f:
        pdf_data = base64.b64encode(f.read()).decode()

    resp = client.messages.create(
        model="claude-opus-4-5", max_tokens=1000,
        system="Extract invoice data. Return ONLY valid JSON.",
        messages=[{"role":"user","content":[
            {"type":"document","source":{"type":"base64","media_type":"application/pdf","data":pdf_data}},
            {"type":"text","text":"Extract: invoice_number, date, vendor, line_items[{description,qty,unit_price,total}], subtotal, tax, total. Return JSON only."}
        ]}]
    )
    return json.loads(resp.content[0].text)

def batch_process_invoices(folder: str) -> list:
    results = []
    for pdf in Path(folder).glob("*.pdf"):
        try:
            data = process_invoice(str(pdf))
            data["source_file"] = str(pdf)
            results.append(data)
        except Exception as e:
            results.append({"error":str(e),"file":str(pdf)})
    return results