European Accident Statements API

European Accident Statement Data Extraction: OCR for EAS Forms

The European Accident Statement, also called a constat amiable, is the joint motor-accident form drivers complete at the scene across the EU, the UK, and nearby markets. Insurers receive photographed and handwritten copies in volume. ByteIt reads checkboxes and handwriting on those forms and returns structured JSON. Examples include both drivers, vehicle registration, insurer and policy number, accident time and place, damage notes, signatures, and many more. Handlers use the sample intake to open both parties' details from the roadside photo.

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Use cases

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FAQs answered

Benefits

Reduce claims cycle time by eliminating manual data entry from handwritten and checkbox-heavy accident forms

Cut transcription errors that cause downstream disputes, rework, and settlement delays

Handle cross-border EAS variants without custom templates for each language or jurisdiction

Process high volumes during peak accident periods without scaling headcount

How it works

  1. Step 1

    Upload

    Send the document to the API as a file or a URL no special formatting required.

  2. Step 2

    The engine reads the document

    The engine analyzes the page layout and identifies the content that matters. The extraction engine reads European Accident Statement forms across common language variants, legible handwriting, and varied layouts, locating and transcribing driver contact details, vehicle registration and insurance info, the date/time/location of the accident, damage descriptions, and signatures.

  3. Step 3

    Structured JSON is returned

    Every extracted element comes back as structured JSON, positioned and typed, ready to feed into downstream systems.

  4. Step 4

    Confidence-based review

    Each field carries a confidence score, so low-confidence results can be routed for human review instead of trusted blindly.

Example fields

A sample of what extraction can return, and many more when they appear on the document.

Driver & contact details (both parties)Vehicle information (registration, make, model)Insurance company and policy numberDate & time of accidentAccident locationDamage descriptionSignature

Features

Reads handwritten text, typed entries, and checkbox selections from photographed or scanned EAS forms

Extracts structured data such as driver details, vehicle information, insurance data, accident circumstances, and many more.

Supports most EU language variants of the Constat Amiable / EAS form without per-country configuration

Delivers output as structured JSON for direct ingestion into claims, policy, and case management systems

Accepts input in PDF, JPG, JPEG, and PNG formats via API or web upload

Use cases

Automated motor claims intake

Insurers receive EAS forms from policyholders or repair shops. ByteIt extracts all fields and feeds the structured data into the claims management system, triggering FNOL creation and reserve calculation without manual keying — always verified by a human before any claim decision.

Cross-border claims processing in the EU

A pan-European insurer processes EAS forms in French, German, Spanish, Italian, and Polish variants. The extraction engine handles each language variant without template switching, passing normalised data to a central claims hub.

TPA bulk processing for fleet insurers

Third-party administrators process hundreds of accident statements per week for fleet insurance clients. ByteIt's batch API extracts data from all forms in a single job, reducing per-document handling time from 20+ minutes to seconds.

CRM and workflow automation

Extracted EAS data can be routed into customer relationship or workflow platforms using automation tools such as n8n, Zapier, or Make, enabling automated follow-up tasks, claimant communication, and document status tracking.

Fraud detection and underwriting analytics

Structured accident data from EAS forms is fed into fraud scoring models or underwriting dashboards, giving risk teams a consistent data set for pattern analysis and loss forecasting.

LIVE DEMO

Try European Accident Statement extraction live

Upload a sample EAS form (PDF, JPG, or PNG) to see how ByteIt extracts driver details, vehicle info, and accident data in real time.

Sample document: EUROPEAN ACCIDENT STATEMENT

Select a document and press Parse

Business advantages

Frequently asked questions

How much does European Accident Statement extraction cost?

ByteIt uses a pay-as-you-go credit model. Each extracted page consumes a set number of credits. Detailed pricing is available on the pricing page; there is no minimum monthly commitment or setup fee.

How do I integrate EAS extraction into my claims system?

ByteIt exposes a REST API that accepts base64-encoded files or URLs. SDKs are available for Python, Node.js, Go, and other languages. Data can also be routed via workflow automation tools like n8n, Zapier, or Make.

What language variants of the European Accident Statement does the engine support?

The engine supports most EU language variants of the Constat Amiable / EAS, including English, French, German, Spanish, Italian, Dutch, Polish, Portuguese, and others, without requiring per-language configuration.

What file formats are accepted?

ByteIt accepts PDF, JPG, JPEG, and PNG files. Scanned, photographed, and digitally generated documents are all supported.

How does the engine handle low-quality scans or photographs of accident statements?

The extraction engine is trained on real-world inputs including crumpled, shadowed, and low-resolution photos of EAS forms. It pre-processes the image to enhance legibility before extracting text and checkboxes.

Can it extract handwritten text and checkbox selections?

Yes. The engine reads printed and handwritten entries as well as checked/unchecked boxes found on standard EAS forms, covering driver details, accident circumstances, and the accident sketch notes.

Does the engine support multi-page EAS forms?

Yes, multi-page forms are processed as a single document, and all fields across pages are consolidated into one structured JSON output.

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