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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Scan PDF to text automatically extracting information from a non-disclosure agreement, such as the names of the signatory parties, the date of signature, the subject of the agreement, the validity period, the non-disclosure obligations, and the territorial scope of application.Scan PDF to text automatically extracting information from a non-disclosure agreement, such as the names of the signatory parties, the date of signature, the subject of the agreement, the validity period, the non-disclosure obligations, and the territorial scope of application.

The best teams work with Koncile

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 Koncile software and obtain structured data in spreadsheet, JSON or database format, easily usable by your management or compliance tools.

Scan PDF to text automatically extracting information from a non-disclosure agreement, such as the names of the signatory parties, the date of signature, the subject of the agreement, the validity period, the non-disclosure obligations, and the territorial scope of application.

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's OCR engine captures essential information from non-disclosure agreements, making it easier for lawyers, compliance officers, and contract managers to work with.It allows you to digitize and structure NDA data from image or PDF files. You can not only automatically extract key information such as the names of the signatories, the date of signature, the object of the agreement, the duration or the non-disclosure clauses, but also analyze and verify them by comparing them with your internal criteria or contractual databases.

Nom

Type

Exemple

Instruction

Validité

Text

Oui

Vérifie que le RIB est bien constitué des éléments suivants :
- Code banque (5 chiffres)
- Code guichet (5 chiffres)
- Numéro de compte (11 caractères alphanumériques)
- Clé RIB (2 chiffres)
Si les RIB est bien constitué de ces éléments, choisis la valeur "Oui". Sinon choisis la valeur "Non".

Party 1 Name

Text ABC SAS Company Search for the name of the company or natural person listed as the first party in the preamble or the “Between the undersigned” clause.

Party 2 Name

Text XYZ Technologies Ltd Identify the second signatory, often introduced by “hereafter referred to” or “Part 2.”

Purpose of the agreement

Text Protection of technical and commercial information Extract the sentence or paragraph specifying the purpose of confidentiality, often located after the “Purpose” or “Article 1” title.

Duration of the agreement

Number 3 years Search for durations expressed in the form of numbers + units (years, months), near the words “duration”, “valid for” or “expires after”.

Date de signature

Date March 14, 2025 Extract the date indicated for the signing of the compromise

Non-disclosure clause

Text The parties undertake not to disclose confidential information to third parties. Identify the section relating to confidentiality obligations, often introduced by “Non-disclosure” or “Confidentiality.”

Territoriality/Scope

Text Valid on the territory of the European Union Extract the geographical or scope of application terms, generally indicated in the “Scope of application” or “Territoriality” section.
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Add any extraction field

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Tailor the extraction to your needs

Easily add or modify extraction fields in the Koncile parser interface using natural language.

Champ à extraire : référence produit.

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.

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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.

Liste des formats de document.
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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.

L’API pour automatiser votre gestion documentaire

No items found.

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

Cadenas noir entouré d'étoiles noires.

Explore our template library

SEE ALL TEMPLATES
certificate of Incorporation

Legal

Company name, SIREN, legal form, share capital, legal representative...

Tenancy agreement thumbnails

Legal

Information of the parties and key clauses of the contract

Any question?

Contact us at contact@koncile.ai, check out our documentation, or book a demo.

How does OCR extract information from a confidentiality 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.

Puis-je extraire des informations spécifiques d’un accord de confidentialité ?

Oui, vous pouvez extraire des informations spécifiques d’un NDA, telles que ,les noms des signataires ou parties contractantes, l’objet de l’accord, La durée ou la date de fin, les clauses de non-divulgation ou d’exclusion, la date de signature.

L’OCR peut être configuré pour extraire ces données en fonction des sections et de la structure de vos accords.

L’OCR peut-il traiter un accord de confidentialité s’il est imprimé ou manuscrit ?

Oui, l’OCR est capable de traiter des accords de confidentialité imprimés ou manuscrits.Si le document est manuscrit, l’OCR utilise des techniques avancées de reconnaissance de l’écriture pour convertir les informations en texte numérique, tout en garantissant la fiabilité des données extraites.

Sous quel format dois-je téléverser un accord de confidentialité pour l’analyse OCR ?

Vous pouvez téléverser vos accords de confidentialité au format PDF, PNG ou JPEG. Ces formats sont compatibles avec notre technologie OCR, permettant une extraction précise des informations juridiques contenues dans le document. Consultez la documentation pour plus de détails sur les formats acceptés et la procédure de téléversement.

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.