Extract data from express transport invoices with AI-OCR
Koncile's AI OCR solution, a tool to extract and verify express transport invoice data, powered by AI, reliable, customizable, and available via API.
50 free credits
No credit card
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The best teams work with Koncile
OCR That Accurately Reads Line-Item Details on Invoices
Import your courier invoices (DHL, FedEx, UPS, Chronopost, La Poste Colissimo, GLS, DPD) in PDF or image format into Koncile.
Our intelligent OCR engine automatically extracts, classifies, and reformats key data.
Edit fields if needed, export in your preferred format (XLS, JSON, database), and integrate seamlessly into your tools via API.
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.
OCR Extraction Coverage for Your Express Transport invoices
Koncile's OCR is designed to extract key information from tables, rows and line items in your express transport invoices.
Unlike traditional OCR tools, the interface lets you edit fields, add new ones or define exactly what data should be extracted.
You can then build a complete and structured database of your purchases to support audits and advanced analysis.
Nom | Type | Exemple | Instruction | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Pourquoi Koncile ?
Why Koncile OCR Is the Right Choice for Express transport Invoices?
Tailor the extraction to your needs
Easily add or modify extraction fields in the Koncile parser interface using natural language.
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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.
Testez Koncile dès maintenant
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 Intelligent OCR Solution to Extract Your Key Data
Reading Tables on Invoices
A Sophisticated Algorithm for Table Detection and Interpretation Across All Invoice Types.
High-performance OCR for line-by-line invoice analysis
Capture and Analyze Line-by-Line Codes, Descriptions, Unit Prices, and Quantities from Your Invoices.
Recognition of all types of express transport invoices
Easily manage and validate invoices in various formats (Excel, PDF, Word).
Data Extraction for APIs
Create a complete database with your express transport invoices in an application accessible via API.
Beyond OCR: Ensuring Accuracy of Extracted Information
Are the prices on the invoices consistent with the negotiated prices? Is the transport cost higher with this supplier compared to another? Are products identified by the correct codes and descriptions? Streamline the management of your express transport invoices with intelligent OCR.
L’API pour automatiser votre gestion documentaire
OCR API for Automating Express transport 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 $API_KEY"
response = requests.get(f"{api_url}/tasks/{task_id}/",
headers={"accept": "application/json", "Authorization":{"Bearer{api_key}"})Response
{
"status": DONE,
"document_id": ID,
"General_fields":
{
"Date" : "05/08/20222",
"Price" : "23$",
"Supplier name" : "Koncile",
},
"Line_fields":
{
"Date" : ["05/08/2022", "05/09/2022", "03/02/2023"],
"Price" : ["23$", "12$", "5$"],
}
}Security and privacy by design
No training on your data
Fully encrypted application
Secured data storage
GDPR compliant
Explore our template library
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Transport & Logistics
Number of the Bill of lading, the carrier, the description of the goods, the weight, the quantity, the date...
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
Can I extract a specific field?
Absolutely! Koncile’s OCR extraction service offers fully customizable fields. Our pre-built models are just a starting point—you can modify and add your own fields to meet your specific needs.
How does Koncile integrate with my existing tools and software?
Koncile is accessible via a powerful API, with full documentation available here. 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 to parse a document that’s very specific to my industry. Can Koncile handle it?
Of course! Start by exploring our library of pre-built templates, covering a wide range of industries. If you don’t find one that fits your needs, you can easily create your own custom model.
What are “General Fields” and “Repeated Fields”?
In each extraction template, you’ll find:
• General fields: These are pieces of information that appear only once per document (e.g., an invoice number or date).
• Repeated fields: These are elements that appear multiple times within a document, such as item descriptions or prices in each line of a quote. Use repeated fields to extract tables and structured data from your documents.
What file formats does Koncile support?
Koncile allows you to import PDF files and all common image formats, including PNG and JPEG.
What is Koncile’s pricing structure?
Koncile offers three plans, including enterprise options for handling large data volumes. Check out our pricing on the dedicated page in our documentation.
