AI Document Processing for Odoo: Invoice & Receipt OCR

What Is AI Document Processing for Odoo?

AI document processing uses computer vision and natural language understanding to extract structured data from unstructured documents — scanned invoices, emailed receipts, photographed purchase orders. The extracted data is then used to create records in Odoo automatically: vendor bills from invoices, expense entries from receipts, and purchase orders from supplier quotes.

What the Agent Processes

Vendor Invoices

The agent extracts from supplier invoices:

• Vendor name and address
• Invoice number and date
• Line items (product/service description, quantity, unit price)
• Tax amounts and tax IDs
• Total amount and currency
• Payment terms and due date
• Bank details for payment

Then creates an account.move (vendor bill) in Odoo with all fields populated.

Expense Receipts

The agent extracts from receipts:

• Merchant name
• Date and time
• Items purchased
• Total amount and tax
• Payment method

Then creates an hr.expense entry with the correct expense category, amount, and receipt attachment.

Purchase Orders

The agent extracts from supplier quotes:

• Vendor information
• Quoted items with prices
• Validity period
• Payment and delivery terms

Then creates a draft purchase.order for review and confirmation.

Processing Pipeline

┌─────────────────────────────┐
│  Document Input              │
│  (email, upload, photo)      │
└──────────┬──────────────────┘
           ▼
┌─────────────────────────────┐
│  OCR / Vision Layer          │
│  (Claude Vision, GPT-4V,     │
│   Google Vision, Tesseract)  │
│  → Extracts text + layout   │
└──────────┬──────────────────┘
           ▼
┌─────────────────────────────┐
│  Data Extraction (LLM)       │
│  - Parse vendor, amounts     │
│  - Match to Odoo partners    │
│  - Map line items to products│
│  - Validate totals           │
└──────────┬──────────────────┘
           ▼
┌─────────────────────────────┐
│  Odoo Record Creation        │
│  - Create vendor bill        │
│  - Attach original document  │
│  - Route for approval        │
└─────────────────────────────┘

Implementation Options

Option 1: Claude Vision (Best Quality)

Send the document image to Claude's vision API. Claude reads the document and extracts all fields in one pass — no separate OCR step needed.

import anthropic, base64

client = anthropic.Anthropic()

with open('invoice.pdf', 'rb') as f:
    image_data = base64.standard_b64encode(f.read()).decode('utf-8')

response = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=2000,
    messages=[{
        "role": "user",
        "content": [
            {"type": "image", "source": {"type": "base64", "media_type": "application/pdf", "data": image_data}},
            {"type": "text", "text": "Extract all fields from this invoice as JSON: vendor_name, invoice_number, date, line_items (description, quantity, unit_price), subtotal, tax, total, currency, payment_terms"}
        ]
    }]
)

Option 2: Odoo Enterprise (Built-In)

Odoo Enterprise includes a built-in AI-powered document digitization feature that processes vendor bills automatically. Upload an invoice and Odoo extracts the data.

Option 3: Open Source OCR

Tesseract OCR for text extraction + LLM for field parsing. Lower cost but lower accuracy for complex layouts.

Accuracy and Validation

Even at 95% accuracy, human review is recommended before posting vendor bills. The agent flags low-confidence fields for manual verification.

Getting Started

Deploy Odoo on DeployMonkey. If using Enterprise, enable the built-in document digitization. For custom OCR processing, connect Claude Vision to your Odoo API — send document images for extraction and create vendor bills automatically. Start with a batch of historical invoices to validate accuracy before going live.