Extract information from Amicable Auto Reports

Koncile extracts data from paper or PDF reports: vehicles, parties involved, sketches, signatures, circumstances...

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Amicable Auto ReportAmicable Auto Report

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Why Automate the Reading of Findings?

Amicable car reports are still often handwritten, scanned or incomplete. They require careful reading to be used in claim files. Koncile's AI OCR even reads partially completed or handwritten documents, and structures information to speed up case management, pre-sorting, or validation.

Extraction of an Amicable Auto Report

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.

What are the fields extracted from an amicable automobile report?

Koncile automatically extracts key data from amicable reports, whether handwritten, scanned or digital. Standard fields — identity of drivers, vehicles, damages, circumstances, signatures — are captured, and you can customize the extraction according to your business needs or internal claims processes.

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".

Report number

Code 123456 Reference printed at the top of the form.

Accident date

Date 10/06/2025 Date de survenue de l’accident.

Accident time

Number 14:30 Time indicated on the report.

Accident location

Text Rue de Rivoli, 75004 Paris Precise address or intersection mentioned.

Description of circumstances

Text Rear impact when parking Brief summary of the facts written on the form.

Driver Information A

Text Jean Dupont — born on 15/07/1980 — license no. 12AB34567890 — Renault Clio (AB-123-CD) — AXA France insurer (no. 987654321) Combine name, date of birth, license number, make/model, registration and insurance data.

Driver B Information

Text Marie Martin — born on 22/05/1975 — license no. 98CD76543210 — Peugeot 208 (EF-456-GH) — Groupama Insurer (no. 123456789) Combine name, date of birth, license number, make/model, registration and insurance data.
Flèche courbée vers le haut.

Add any extraction field

Flèche courbée vers le haut.

Edit AI instructions

Choosing Koncile for your insurance documents

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.

Vignette de vidéo extraction de document.

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.
Logo de Koncile.

Test Data Extraction New Generation

Start with a ready-to-use model, test on a document and scale

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

How can an OCR solution automate the management of findings?

OCR reading of paper or PDF reports

Koncile recognizes standardized forms, even partially completed or handwritten forms.

Extracting key fields

Identity of drivers, policy numbers, plates, insurance companies, insurance companies, insurance companies, date and place of the claim, description of the damage, checked boxes, sketches...

Sketches and checked areas detected

Intelligent reading of drawings and boxes to interpret responsibilities and circumstances.

Data that can be used directly

Export JSON, Excel or API to your claims tools, CRM or fleet management software.

Automatic preparation of claims files

Koncile structures the extracted data to automatically create a pre-folder ready to use. Key information is linked to your references (contract, license plate, claim ID), which significantly rapid assignment and reduces processing times.

The OCR API for automaton Document management

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 OCR designed for Security

Lack of training on your data

Fully Encrypted Software

Secure Storage of Extracted Data

RGPD compliant

Cadenas noir entouré d'étoiles noires.

Automate all your insurance documents

SEE ALL TEMPLATES
Extraction Insurance
Claim

Insurance

Claim number, date, amount, amount, type, contract, attachment.

Certificate of
Liability Insurance

Insurance

Type of insurance, guarantees, amounts, deadlines, deductibles

Home insurance certificate thumbnails

Insurance

Proof of insurance coverage

Any question?

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

Can OCR process a self-printed or handwritten european accident report?

Yes, OCR can process written or handwritten amicable reports. For handwritten documents, it applies advanced recognition algorithms to ensure the accuracy of the extracted data.

How does OCR extract information from an european accident statement?

Koncile OCR automatically analyzes the main elements of an amicable finding, including the identities of the drivers involved, the circumstances of the accident and the contact details of insurance companies.

Can I extract specific information from an european accident statement?

Yes! You can set up OCR to retrieve only fields such as the date and time of the accident, the damage reported, or the explanatory diagrams of the disaster.

In what format should I import an european accident statement?

You Can Upload Your Amicable Report in the Format PDF, PNG, or JPEG. These formats ensure optimal compatibility with our OCR technology and ensure reliable extraction of essential data. See documentation for more details.

How does Koncile integrate with my existing tools and software?

Koncile is accessible via an API. Check our full OCR documentation. 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 further assistance.

Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.

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.