Extract data from Engie bills by OCR IA
Koncile's AI OCR, a solution for extracting data from Engie invoices, finally reliable, customizable and available as an API.
50 free credits
No credit card
100% secured
The best teams work with Koncile
Analyze your Engie invoices thanks to intelligent data capture
Koncile's OCR for utility bills Extracts key data from Engie invoices such as the total amount including tax, energy consumption in kWh, billing period, and contract number.
Upload your invoices in image or PDF format into the Koncile OCR software and receive structured data in spreadsheet, JSON, or database format ready for automatic processing.
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.
Fields extracted by the specialized OCR | Engie Invoice
Koncile's OCR solution simplifies the management of EDF invoices for accounting departments, property managers, and administrative teams.
The extracted information enables smoother and more reliable processing of energy data, allowing for the automation of control, archiving, and accounting allocation thanks to OCR accounting.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile OCR for your Engie Invoices?
.webp)
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 or inconsistencies are flagged early, enabling automated quality control and faster decision-making.
Foreign languages finance and accounting
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.
Integrated with your tools for accounting documents
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 Engie invoice template, test on a document and scale
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
An OCR solution designed to extract your Engie Invoices
Automatic Extraction of Information from Engie Invoices
Name of the holder, amount due, due date, date, date, date, energy consumption, customer number, etc. Automatically extracts key data from paper or digital Engie invoices.
From Engie Invoices to a Database
Facilitate the management of Engie invoices by transforming your documents into structured and usable data, ready to be integrated into your management systems.
Multi-format processing
Easily manage and standardize Engie invoice information in various formats (image, PDF, etc.). Whether it's a scan of a paper invoice or a PDF version, Koncile OCR allows you to easily extract information.
Parsing Engie invoices via API
Create a complete Engie Invoice Database, integrated into an application and accessible via API. This automation allows you to track the history of consumption and improve payment processing.
Beyond OCR: Validation and verification of extracted fields
Is the information on the Engie bill accurate? Is consumption well described? Is the amount billed consistent? Koncile's intelligent OCR automates the analysis and verification of energy bills to make reliable data and detect errors in an instant.
The OCR API to automaton The Management of Engie Invoices
status
string
Document status, which can be DONE, DUPLICATE, or IN PROGRESS.
document_id
integar
Unique number assigned to each invoice
general_fields
objects
General fields that appear only once in each extracted document. Returned in the format: {field name: extracted value}
line_fields
objects
Repeated fields extracted in bulk for each line or table. Returned in the format: {field name: extracted value}
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 Training on Your Data
Fully Encrypted Software
Secure Storage of Extracted Data
RGPD compliant
Discover all the documents you can automate
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from an energy bill?
OCR analyzes the energy bill using computer vision algorithms to detect and read characters. With natural language understanding (NLP), OCR can identify critical information. This process ensures accurate extraction of structured and unstructured data from the document.
Can I extract specific information from an energy bill?
Yes, you can extract specific information from an energy bill, such as consumption, amount to be paid, billing period, or customer number. OCR can be set up to extract this data based on the sections or formats you are dealing with.
In what format should I upload an energy bill for OCR analysis?
You can upload your energy bills in PDF, PNG, or JPEG format. These formats are compatible with our OCR technology, allowing accurate extraction of the information contained in the document. Consult the documenting for more details on accepted formats and the upload process.
How does Koncile integrate with my existing tools and software?
Koncile is accessible via an API, with complete documentation available here. Additionally, you can import your documents directly into the application and download the 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.
