Reliable and customizable AI-powered OCR software for all your bills of lading
Koncile's AI OCR, a solution for extracting data from Bill of lading, powered by AI, finally reliable, customizable and available as an API.
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The best teams work with Koncile
The OCR that detects key data from maritime bills of lading
OCR for bill of lading by Koncile is ideal for quickly organizing and processing information from loading orders, extracting key data Like the Loading order number, the transporter, the wares, the quantity, and the delivery date. It also makes it possible to detect inconsistencies or errors in a large volume of documents.
Charge them loading vouchers in a format picture or PDF in the Koncile OCR software and get structured data In format spreadsheet, JSON or database, easily exploitable by a machine.


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.
Accurate data extraction with OCR built for maritime bills of lading
Koncile’s logistics document OCR solution captures essential information from bills of lading, streamlining the work of logistics managers, carriers, and warehouse supervisors.
It digitizes and structures data from image or PDF files. Thanks to optical character recognition, you can automatically extract key details, then analyze and verify them against databases or predefined criteria.
Name | Type | Example | Guideline | |
---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile OCR for maritime bills of lading ?
Tailor the extraction to your needs
Easily add or modify extraction fields in the Koncile parser interface using natural language.
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
Partez d'un modèle de connaissement maritime prêt à l'emploi, testez sur un document et passez à l'échelle
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
An OCR solution designed to extract your maritime bills of lading
Automatic extraction of information from maritime bills of lading
Bill of lading number, carrier, goods, quantity, delivery date, etc. Automatically extracts key data from paper or digital packing slips.
From Bill of lading to a database
Facilitate the management of Bill of lading by transforming your documents into structured and usable data, ready to be integrated into your management systems.
Multi-format processing
Easily manage and standardize loading slip information in various formats (image, PDF, etc.). Whether it's a scan of a paper loading slip or a PDF version, Koncile OCR allows you to easily extract information.
OCR extraction of maritime bills of lading via API
Create a complete database of loading orders, integrated into an application and accessible via API. This automation allows you to track delivery history and improve shipment tracking.
Beyond OCR: Validation and verification of extracted fields
Is the information on the packing slip correct? Is the quantity of goods correctly described? Are the carrier details valid? Are there inconsistencies or errors in the data on the loading order? Optimize the management of loading orders with intelligent OCR, allowing you to automate the verification and validation of data.
The OCR API to automate maritime bill of lading processing
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

Transport & Logistics
Importer, customs value, CPC, net/gross weight, net weight/gross, duties, VAT, customs code, ports
.webp)
Transport & Logistics
AWB number, shipper, destination, destination, weight, package, flight.

Transport & Logistics
HS code, value, IMA, origin, customs regime, weight.
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from a bill of lading?
OCR analyzes the bill of lading 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 a bill of lading ?
Yes, you can extract specific information from a bill of lading, such as product references, quantities, loading dates, or destinations. 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 a bill of lading for OCR analysis?
You can upload your bill of lading 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.
Can OCR process a bill of lading if it is printed or handwritten?
Yes, OCR is capable of processing printed or handwritten bill of lading. If the document is handwritten, OCR uses advanced techniques to recognize handwritten characters and convert them into digital text, while ensuring the accuracy of the extracted data.
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.
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.