AI OCR for letters of formal notice

Automatically identify the key legal information in a letter of formal notice using Koncile's artificial intelligence.

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Example of OCR extraction on a letter of formal noticeExample of OCR extraction on a letter of formal notice

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Turn your letters of demand into actionable data

Koncile OCR detects and extracts key data from a letter of formal notice to automate your legal and accounting processes.

OCR analysis of a letter of formal notice

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 taken from a letter of formal notice

Examples of structured fields extracted automatically by Koncile OCR from a letter of formal notice.

Name

Type

Example

Guideline

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".

Reason for claim

Text Non-payment of invoice #INV-2025-041 Described in the opening paragraphs to justify the demand.

Legal reference

Text Pursuant to UCC §2-709 Any legal code or article cited to support the claim, often in the body or conclusion.

Claimed amount

Price $2,500.00 Mentioned within the body, typically as 'We demand the sum of...'.

Sender name

Text Miller & Co Law Firm Appears in the closing section or below the signature line.

Sender contact info

Text 123 Main St, NY, NY — contact@firm.com Appears at the top or in the signature block.

Recipient name

Text John Smith Usually appears at the top after 'To:', 'Dear Mr./Ms.', or 'Attention:'.

Subject

Text Final demand before legal action Introduced with 'Subject:' or in bold before the body begins.

Recipient address

Text 456 Market St, San Francisco, CA Appears under the recipient's name, typically in the header.

Payment deadline

Date July 15, 2025 Often stated as 'within 7 days', 'by [date]', or 'no later than...'.

Letter date

Date July 8, 2025 Usually found at the top or after 'Dated:' before the subject.
Flèche courbée vers le haut.

Add any extraction field

Flèche courbée vers le haut.

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Why choose Koncile for your letters of formal notice ?

Handwritten accommodation certificate

Handwriting in legal documents

Our handwriting OCR accurately detects and interprets handwritten text, even under challenging conditions: low-quality scans, missing digital signatures, or hard-to-read writing.

The tool supports multiple handwritten languages and leverages AI models trained to recognize a wide range of writing styles.

It's ideal for processing IOUs, sworn statements, handwritten contracts between individuals, or meeting minutes while maintaining a high level of reliability.

CGV extraction

Extraction of custom legal data

A simple and intuitive interface to precisely select the fields you want to extract from your legal documents.

Automatically capture key information such as dates, party names, legal references, types of acts, clauses, and more.

Eliminate manual data entry and accelerate your legal workflows with extraction tailored to your exact needs.

OCR CGV

Scanned or photographed legal documents

Whether your legal documents are scanned, photographed, or photocopied, our OCR technology converts them into usable data with remarkable accuracy.

Even old, partially legible, or poorly aligned documents can be processed thanks to our automatic correction engine.

Unrecognized fields are isolated and sent to our alert center for manual review or validation, ensuring a high level of completeness and reliability.

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99% reliability

Unparalleled precision for your legal documents

With a success rate above 99%, our OCR engine delivers exceptional accuracy on key fields in legal documents.

Every piece of information is captured reliably, whether it’s names, dates, clauses, or legal references.

Thanks to our built-in anomaly detection system, you can spot errors, omissions, or inconsistencies early on, enabling automated quality control and greater legal security.

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Integrated with your tools to manage legal 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.

Multilingual legal OCR

A multilingual OCR tailored for international legal documents

Our OCR engine, enhanced by advanced language models (LLMs), accurately recognizes alphabets and languages used in legal documents worldwide. Chinese, Arabic, Cyrillic, Japanese...

Whatever the format or language of a contract, legal act, or supporting document, Koncile identifies key fields (names, dates, clauses) and enables automatic translation.

Digitize, extract, and centralize your legal data securely—even in complex multilingual or international environments.

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Test our AI OCR on your letters of formal notice

Import a sample document and visualize the automatically extracted data.

Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !

Why use Koncile's AI OCR for formal notice letters?

Automated legal structuring

Letters analyzed and transformed into usable data for business or legal tools.

Multi-format reading

Koncile processes handwritten, printed, scanned letters, in PDF or in images.

API and data export

Retrieve the information extracted into your tools via JSON, Excel, or API.

Detection of legal notices

OCR identifies the presence or absence of mandatory legal information.

Integration into your legal flow

Feed your databases, accounting tools or reminder systems automatically.

The OCR API to automate the management of formal notices

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

Document status, which can be DONE, DUPLICATE, or IN PROGRESS.

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 OCR designed for security

No training on your documents

Full end-to-end encryption

Secure storage in Europe

RGPD compliant

Cadenas noir entouré d'étoiles noires.

Discover more OCR use cases

SEE ALL TEMPLATES
OCR Certificate of Good Standing

Legal

Name, Certificate of Good Standing number, registry, legal form, date of registration: extracts by AI, ready to integrate your compliance tools or CRM.

Power of attorney

Legal

Principal, agent, dates, signatures, signatures, object, purpose, duration, checked areas, handwritten mentions.

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.

Legal

the names of the signatory parties, the date of signature, the subject of the agreement, the duration of validity, the non-disclosure obligations...

certificate of Incorporation

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 demand letter?

OCR analyzes the demand letter using computer vision algorithms to detect and read characters. With natural language processing (NLP), it identifies key information. This ensures accurate extraction of both structured and unstructured data.

Can OCR process a printed or handwritten demand letter?

Yes, OCR can process demand letters whether printed or handwritten. For handwritten text, it uses advanced recognition techniques to convert it into accurate digital text.

Can I extract specific information from a demand letter?

Yes, you can extract specific details such as the recipient’s name, the claimed amount, the reference number, or the issue date. OCR can be configured to extract these elements based on the layout and sections of the letter.

What format should I use to upload a demand letter for OCR analysis?

You can upload a demand letter in PDF or image format (PNG, JPEG, etc.). These formats are fully compatible with OCR for automated extraction of key legal information.