Extract data from non-disclosure agreements thanks to an AI OCR
Koncile's AI OCR, a solution for extracting data from non-disclosure agreements, powered by AI, finally reliable, customizable and available as an API.
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Analyze & pre-validate non-disclosure agreements thanks to intelligent data capture.
Koncile's OCR for non-disclosure agreements is ideal for quickly organizing and processing the information in NDAs, by extracting key data such as the names of signatories, the date of signature, the subject of the agreement, the duration, or non-disclosure clauses.
It also makes it possible to detect omissions or inconsistencies in a large volume of documents.Upload your non-disclosure agreements in image or PDF format into the OCR software Koncile software and obtain structured data in spreadsheet, JSON or database format, easily usable by your management or compliance tools.
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.
List of extracted information
Koncile automates the analysis of non-disclosure agreements (NDAs), significantly reducing the manual workload associated with their review.
Beyond extracting key fields, the solution automatically classifies documents, checks for required legal mentions, and compares clauses against your internal templates.
These features naturally support KYC compliance efforts by providing reliable traceability of contractual commitments. Legal teams, compliance officers, and procurement departments can thus quickly verify the consistency and validity of NDAs.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why Choose Koncile for Your NDA Processing?
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.
Experience Next-Generation NDA Data Extraction
Partez d’un modèle d'accord de confidentialité, testez-le 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 non-disclosure agreements
Intelligent reading of contract sections
An advanced algorithm for detecting and interpreting key areas (signatory parties, duration, clauses) for all types of NDAs.
OCR for accurate extraction of critical information
Automatically identify the contracting parties, the subject of the agreement, the duration, the date of signature, and the non-disclosure obligations.
Automatic processing of agreements in all formats
Convert your NDAs, whether paper, PDF, or scanned, into structured data ready to be analyzed.
Extraction of contract data via API
Create a complete and reliable database of your non-disclosure agreements, accessible and integrable via API or SDK.
Beyond OCR: Validation and control of extracted information
Are my NDAs still active? Are all the critical clauses in place? What is the geographic area covered? Automate the monitoring and compliance of your agreements with intelligent OCR.
Streamline NDA Workflows with Koncile API
status
string
Document status, which can be DONE, DUPLICATE, or IN PROGRESS.
document_id
integar
Numéro unique attribuée à chaque facture
general_fields
objects
General fields that appear only once in each extracted document. 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}],
}
}Secure by Design: AI OCR You Can Trust
No training on your data
Fully encrypted software
Secure storage of extracted data
GDPR compliant
Explore Our Library of Documents Ready for Automation
Legal
Company name, SIREN, legal form, share capital, legal representative...
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from a non-disclosure agreement?
OCR analyzes agreements using computer vision techniques to identify blocks of text and uses NLP to understand the legal context. It automatically identifies contracting parties, the subject of the agreement, the duration, duration, obligations, obligations, non-disclosure clauses, and possible limitations.
Can I extract specific information from a non-disclosure agreement?
Yes, you can extract specific information from an NDA, such as, the names of the signatories or contracting parties, the subject of the agreement, the duration or end date, the non-disclosure or exclusion clauses, the date of signature.
OCR can be set up to extract this data based on the sections and structure of your agreements.
Can OCR process a non-disclosure agreement if it is printed or handwritten?
Yes, OCR is capable of handling non-disclosure agreements printed or handwritten.If the document is handwritten, OCR uses advanced handwriting recognition techniques to convert the information into digital text, while ensuring the reliability of the extracted data.
In what format should I upload a non-disclosure agreements for OCR analysis?
You can upload your non-disclosure agreements in PDF, PNG, or JPEG. These formats are compatible with our OCR technology, allowing accurate extraction of the legal information contained in the document. Consult the documenting for more details on accepted formats and the upload process.
