Extract data from Vodafone invoices using AI
Koncile's AI OCR, a solution for extracting data from mobile phone invoices
50 free credits
No credit card
100% secured
The best teams work with Koncile
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 data extraction software allows you to modify, add, or define the information to be extracted.
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.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile to manage your Vodafone invoice?
Tailor the extraction to your needs
Easily add or modify extraction fields in the Koncile parser interface using natural language.
.svg)
Set up Koncile in just one day
Koncile is pre-trained and can be deployed in a single day for all your extraction use cases.
No need for training on large volumes of your data.
Connect Koncile to your tools
Capture data in a structured format such as JSON, XLSX, CSV, or others.
Connect your application via our API. Access the full documentation here.
Try next-generation data extraction
Start with a ready-to-use invoice template, test it on a document, and scale up
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
An OCR solution designed to extract your Vodafone invoices
Reading the tables on the invoices
A sophisticated algorithm for detecting and interpreting tables for all types of invoices.
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.
Multi-format Vodafone invoice processing
Automatically convert all your SFR invoices (paper, PDF, PDF, image, scan) into data ready to be used.
Extracting invoices for API
Create a complete database that can be accessed via API.
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 OCR API to automate the management of telecom invoices
status
string
Statut du document qui peut être DONE, DUPLICATE, IN PROGRESS.
document_id
integer
Numéro unique attribué pour chaque document
general_fields
objects
Champs généraux apparaissant une seule fois dans chaque document extrait. Retour au format : {nom du champ: valeur extraite}
line_fields
objects
Champs répétés extraits en bloc pour chaque ligne ou chaque tableau. Retour au format : {nom du champ: valeur extraite}
Request
curl api.koncile.ai/tasks/{task_id}/ \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $API_KEY"
response = requests.get(f"{api_url}/tasks/{task_id}/",
headers={"accept": "application/json", "Authorization":{"Bearer{api_key}"})Response
{
"status": DONE | DUPLICATE | IN PROGRESS | FAILED,
"document_id": ID,
"document_name": "name",
"status_message": "",
"General_fields":
{
"Date" : {"value": "05/08/2022", "confidence_score": 0.99},
"Price" : {"value": "$23", "confidence_score": 0.98}
}
,
"Line_fields":
{
"Date" : [{"value": "05/08", "confidence_score": 0.97}, {"value" : "05/08", "confidence_score": 0.98}, ],
"Price" : [{"value": "$23", "confidence_score": 0.98}, {"value": "$12", "confidence_score": 0.97}],
}
}An AI-powered OCR designed for security
No of training on your data
Fully encrypted software
Secure storage of extracted data
RGPD compliant
Explore our ready-to-use OCR models to automate your documents
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from a Vodafone invoice?
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.
Can OCR process a printed or handwritten Vodafone invoice?
Yes, OCR can process printed or handwritten Vodafone invoices. For handwritten documents, it uses advanced recognition technologies to ensure accurate retrieval of information.
Can I extract specific information from an Vodafone invoice?
Yes! You can set up the extraction to retrieve specific information such as cancellation fees, options purchased, or the amount of taxes applied.
In what format should I import a Vodafone invoice for OCR analysis?
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. See documentation for more details.
How does Koncile integrate with my existing tools and software?
Koncile is accessible via an API. Check our full OCR documentation. Additionally, you can upload documents directly in the app and download extracted data in XLSX, XLS, CSV or JSON formats for seamless integration into your workflows.
I need further assistance.
Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.
What are Koncile's prices?
Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on the dedicated page in our documentation.
What are general fields and repeated fields?
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.
