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Vodafone invoice

Extract data from Vodafone invoices using AI

Koncile's AI OCR, a solution for extracting data from mobile phone invoices

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Case study

Analyze your Vodafone invoices thanks to intelligent data capture

Upload your Vodafone invoices in image or PDF format into the Koncile OCR software to obtain structured data in XLS, JSON, or database format.

Koncile’s OCR allows you to modify, add, or define the information to be extracted.

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Pierre Laprée
Founder & CPO at SpendHQ

Koncile automates the intelligent extraction of contractual data. Despite the complexity of our clients’ contracts, the tool ensures quality and speed, saving us valuable time.

What fields can I extract?

The invoice OCR for Vodafone invoices accurately captures line-by-line information such as service labels (subscriptions, options, usage), billing periods, pre-tax and total amounts, discounts, and line or contract numbers.

You can customize the extracted fields to match your needs, automate your checks, monitor subscriptions, and analyze your expenses reliably.

Nom

Type

Exemple

Instruction

Validité

Text

Oui

Vérifie que le RIB est bien constitué des éléments suivants :
- Code banque (5 chiffres)
- Code guichet (5 chiffres)
- Numéro de compte (11 caractères alphanumériques)
- Clé RIB (2 chiffres)
Si les RIB est bien constitué de ces éléments, choisis la valeur "Oui". Sinon choisis la valeur "Non".

Invoice number

Code 12348594 Unique number assigned by the provider.

Invoice date

Date 12/31/2024

Recipient/Customer's name

Text Customer CDE Full name of the individual or the company’s business name.

Billing address

Text 15 rue des Jardins, 75010 Paris Postal address associated with the customer account.

SFR customer number

Number 987654321 Identifier on the invoice.

Line number/contract

Number 06 12 34 56 78 / BOX-102938 Mobile number or fixed/fiber contract reference.

Consumption period

Date Du 01/03/2025 au 31/03/2025 Invoiced period, usually indicated in an insert or table.

Total amount excluding taxes

Price 1,000.00

Total taxes amount

Price 200.00 Taxes amount applicable to the total billed amount.

Total amount including taxes

Price 1,200.00

Details of invoiced services

Text Mobile package, internet box List of included or optional services (Internet, TV, telephone, etc.).

Payment deadline

Date 15/05/2025 Due date indicated in the summary box.
Add your custom fields
Edit the AI instructions
Discover the full extraction template
Discover the full extraction template

Why choose Koncile to manage your Vodafone invoice?

99% reliability

Unmatched accuracy in accounting data processing

With a success rate above 99%, our OCR engine delivers exceptional accuracy in extracting key data from accounting documents.

Every piece of information: amounts, dates, invoice numbers, or accounting references is reliably captured.

Thanks to our built-in anomaly detection system, errors, inconsistencies, or signs of document fraud detection are flagged early, enabling automated quality control and faster decision-making.

Multilingual OCR accounting

Multilingual OCR for your invoices

Our OCR engine, enhanced by advanced language models (LLMs), accurately recognizes alphabets and languages from around the world, making accounting data extraction seamless.

Whether the documents are in Chinese, Arabic, Cyrillic, Japanese, or any other language, Koncile identifies key fields amounts, dates, invoice numbers and enables automatic translation.

Digitize, extract, and centralize your accounting data with ease, even in complex multilingual environments, while ensuring optimal and compliant financial document management.

OCR accounting integration

Integrated with your tools

Koncile integrates perfectly into your digital ecosystem: connection via API, automatic import from your emails or direct synchronization with your ERP.

Easily import documents, trigger automated extractions, and retrieve structured data where you need it.

Whether you use Excel, Outlook, SAP or another business tool, Koncile adapts to your workflow to simplify document management and maximize your productivity gains.

Try next-generation data extraction

Start with a ready-to-use invoice template, test it on a document, and scale up

An OCR solution designed to extract your Vodafone invoices

1

Reading the tables on the invoices

A sophisticated algorithm for detecting and interpreting tables for all types of invoices.

2

OCR for accurate line-by-line reading

Collect and analyze service codes, gross and net unit prices, billing periods, discounts, and line or contract numbers from the line by line of your SFR invoices.

3

Multi-format Vodafone invoice processing

Automatically convert all your SFR invoices (paper, PDF, PDF, image, scan) into data ready to be used.

4

Extracting invoices for API

Create a complete database that can be accessed via API.

5

Beyond OCR: Validation and verification of extracted fields

What is the billing period? What are the details of the services purchased and the options? What is the total amount billed per line or per contract? Automate the management of your vodafone invoices with intelligent OCR.

The API to streamline your document management

status
string

Document status can be DONE, DUPLICATE, or IN PROGRESS

document_id
integer

Unique identifier assigned to each document

general_fields
objects

Fields that appear once per document. Returns in the format: {field_name: extracted_value}

Full documentation
Full documentation
Claim my API key
Claim my API key
Security and privacy

An AI OCR tool built for regulated environments

Founded by a former lawyer, Koncile was designed with compliance and data protection at its core. We are independently audited under SOC 2 and compliant with GDPR and HIPAA requirements.

Review our security docs
Review our security docs

Talk to an expert who knows your industry.

  • Get an external expert opinion on your specific use case
  • Benchmarks and results from hundreds of clients in your industry
  • Help activating the right Koncile features for your workflow
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Our latest ARTICLES

Real life insights on document automation

All our ressources
All our ressources
Procurement

Receipt

Merchant details, purchase details, quantities, prices

Procurement

Pricing grid

Pricing grid or framework agreements

Procurement

Purchase order

Contact details and product details, quantities, and prices

Procurement

Invoice

Supplier details and line-by-line details

Procurement

Quotes

Supplier information and line-by-line details

Procurement

Product catalog

Product name, reference, category, price, stock, stock, description, visuals: extracted by AI, ready to integrate your digital catalog.

Procurement

Delivery note

Delivered address, supplier, delivered products, and quantities

FAQ

All your questions
on Koncile

Koncile OCR automatically detects essential data such as contract number, invoiced amount, billing period, and details of subscribed offers. It thus simplifies the management of telecom subscriptions.

Yes, OCR can process printed or handwritten Vodafone invoices. For handwritten documents, it uses advanced recognition technologies to ensure accurate retrieval of information.

Yes! You can set up the extraction to retrieve specific information such as cancellation fees, options purchased, or the amount of taxes applied.

You can upload your SFR bill in the format PDF, PNG, or JPEG. These formats are fully compatible with our OCR technology and allow reliable data extraction.

The software is accessible via a powerful OCR API, with comprehensive documentation available. Plus, you can upload documents directly into the app and export the extracted data to XLSX, XLS, CSV, or JSON for seamless integration into your workflows.

Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.

Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on our pricing page.

In each extraction template, you will find:

  • General fields: These are pieces of information that appear only once in each document (e.g., the invoice number or the invoice date).
  • Repeated fields: These are pieces of information that appear multiple times in a document, such as item descriptions or prices in each line of a quote. Use repeated fields for extracting tables and charts from your documents.