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Accident statement

Extract information from Amicable Auto Reports

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

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Case study
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Case study

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.

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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.

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.

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".

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.
Add your custom fields
Edit the AI instructions
Discover the full extraction template
Discover the full extraction template

Choosing Koncile for your insurance documents

scanned insurance certificate

Insurance documents scanned or photographed

Whether scanned, photographed, or submitted by policyholders, your insurance documents are converted into usable data with remarkable reliability thanks to our OCR technology.

Even old contracts, handwritten declarations, blurry or poorly framed documents can be accurately analyzed thanks to our automatic correction engine.

Unrecognized fields are isolated and sent to our control center for manual validation or processing, ensuring a high level of completeness and reliability in your insurance workflows.

Test Data Extraction New Generation

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

How can an OCR solution automate the management of findings?

1

OCR reading of paper or PDF reports

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

2

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...

3

Sketches and checked areas detected

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

4

Data that can be used directly

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

5

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 API to streamline your document management

status
string

Document status can be DONE, DUPLICATE, or IN PROGRESS

document_id
integer

Unique identifier assigned to each document

general_fields
objects

Fields that appear once per document. Returns in the format: {field_name: extracted_value}

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Full documentation
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Security and privacy

An AI OCR tool built for regulated environments

Founded by a former lawyer, Koncile was designed with compliance and data protection at its core. We are independently audited under SOC 2 and compliant with GDPR and HIPAA requirements.

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Pricing grid or framework agreements

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Contact details and product details, quantities, and prices

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Supplier details and line-by-line details

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Delivered address, supplier, delivered products, and quantities

FAQ

All your questions
on Koncile

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.

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.

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.

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.

The software is accessible via a powerful OCR API, with comprehensive documentation available. Plus, you can upload documents directly into the app and export the extracted data to XLSX, XLS, CSV, or JSON for seamless integration into your workflows.

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