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  1. APPS
  2. OCR
  3. Novobi OCR - Azure Document Intelligence v 19.0
  4. Sales Conditions FAQ

Novobi OCR - Azure Document Intelligence

by Novobi https://www.novobi.com , Inc https://www.novobi.com
Odoo

$ 9999.99

In-App Purchases
v 19.0 Third Party
Apps purchases are linked to your Odoo account, please sign in or sign up first.
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Invoicing (account)
• Discuss (mail)
Community Apps Dependencies Show
• Novobi OCR - Vendor Bill Mapping
• Novobi OCR Base
Lines of code 3326
Technical Name nvb_ocr_azure
LicenseLGPL-3
Websitehttps://www.novobi.com
You bought this module and need support? Click here!
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Invoicing (account)
• Discuss (mail)
Community Apps Dependencies Show
• Novobi OCR - Vendor Bill Mapping
• Novobi OCR Base
Lines of code 3326
Technical Name nvb_ocr_azure
LicenseLGPL-3
Websitehttps://www.novobi.com
Novobi OCR Azure Banner

Novobi OCR – Azure Document Intelligence

Microsoft Azure AI-powered document extraction for Odoo

Enterprise-Grade OCR, Powered by Azure

This module connects the Novobi OCR framework to Microsoft Azure Document Intelligence (formerly Form Recognizer), Microsoft's enterprise AI service for extracting structured data from invoices, receipts, and custom document types — with industry-leading accuracy.

Azure Integration Features

Prebuilt Invoice Model

Uses Azure's prebuilt-invoice model out of the box. No training required — works on vendor invoices from day one.

Custom Model Support

Configure a custom Azure model ID per provider for specialized document layouts or industry-specific invoice formats.

Async Polling

Submits documents asynchronously and polls the Azure operation URL until results are ready — up to 120 seconds, with retries.

Extracted Fields

Azure's prebuilt-invoice model extracts all the fields you need

Vendor

  • Vendor name
  • VAT / tax ID
  • Vendor address

Invoice Header

  • Invoice number
  • Invoice date & due date
  • Purchase order number
  • Currency code
  • Payment terms reference

Line Items

  • Description & product code
  • Quantity & unit price
  • Line subtotal
  • Tax amount & tax rate %
  • Totals: subtotal, tax, total

Intelligent Data Parsing

  • Multi-format date parsing
    Handles ISO 8601, US (MM/DD/YYYY), EU (DD/MM/YYYY), and written month name formats — automatically normalized to YYYY-MM-DD.
  • Multi-locale amount parsing
    Parses US format (1,234.56), EU format (1.234,56), and plain numbers. Also handles currency symbols and whitespace.
  • Tax rate extraction
    Reads "18 %", 0.18, or 18 from Azure and normalizes all to a percentage for Odoo's account.tax matching.
  • Smart price resolution
    When unit price is missing, computes it from line total / quantity. Supports negative amounts for credits and discounts.
  • Bracket SKU parsing
    Treats [SKU123] Product Name format to split vendor code from display name for more accurate product matching.
  • Vendor matching hierarchy
    Matches vendors by VAT → IBAN + name → fuzzy name (SequenceMatcher). VAT normalization handles country-code prefixes and punctuation.

Configuration

  1. Go to Settings → General Settings → Document Intelligence (OCR).
  2. Set Vendor Bills OCR Provider to Azure Document Intelligence.
  3. Open the provider configuration and enter your Azure Endpoint URL and API Key.
  4. Optionally, enter a custom Model ID (leave blank to use prebuilt-invoice).
  5. Set the state to Enabled (or Test for staging).
  6. Set your desired Confidence Threshold (default: 80%).

Supported File Types

PDF JPEG PNG TIFF BMP

Requirements

  • Requires Novobi OCR Base
  • Requires Novobi OCR – Vendor Bill Mapping
  • An active Microsoft Azure subscription with Document Intelligence enabled
  • Python package: requests

Need help? Contact us at support@novobi.com

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  • This section is meant to ask simple questions or leave a rating. Every report of a problem experienced while using the module should be addressed to the author directly (refer to the following point).
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