Reliable and customizable AI-powered OCR software for all your prescriptions

Koncile's AI OCR, a solution for extracting data from medical prescriptions, powered by AI, finally reliable, customizable and available as an API.

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Text PDF scanner that automatically extracts information from a medical prescription, such as patient name, medication prescribed, quantity, dosage, and prescription date.Text PDF scanner that automatically extracts information from a medical prescription, such as patient name, medication prescribed, quantity, dosage, and prescription date.

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The OCR that detects key data from prescriptions

Koncile's OCR for medical prescriptions is ideal for quickly organizing and processing prescription data by extracting key information such as the patient's name, the doctor's name, the prescribed medication, and dosage.

It also helps detect inconsistencies or errors across large volumes of documents.

Simply upload medical prescriptions in image or PDF format into the Koncile OCR software to obtain structured data in spreadsheet, JSON, or database format ready for seamless machine processing.

Text PDF scanner that automatically extracts information from a medical prescription, such as patient name, medication prescribed, quantity, dosage, and prescription date.

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.

Complete extraction of all key information from medical prescriptions using specialized OCR technology

Koncile’s OCR solution streamlines the management of medical prescriptions for healthcare providers, pharmacists, and administrative teams.

By leveraging medical reference data, the system can intelligently suggest relevant tests or examinations based on each prescription.

It also enables automated document classification, contributing to more efficient and reliable health data processing by supporting tasks such as document sorting, procedure scheduling, and reimbursement workflows.

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".

Patient name

Text Dupont

Doctor's name

Text Martin

RPPS number

Number 1016474274

Prescribed medication

Text LACTIBAN

Duration of treatment

Number 10 Give me the duration of the treatment in days.

Special instructions

Text Instruction: 1 bag in a glass of water in the morning Differentiate an instruction that you note “Instruction:” from a warning marked “Warning:”

Suggested exams

Text Coproculture - Analysis of intestinal microbiota - Research: Clostridium difficile Identify one or more medical examinations to be automatically associated from the “Prescribed Drug (s)” in the prescription. Use a drug > exam combination reference (or DCI > medical procedure) to suggest the most relevant analyses.
Flèche courbée vers le haut.

Add any extraction field

Flèche courbée vers le haut.

Edit AI instructions

Why choose Koncile OCR for your prescriptions?

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.

Experience next-generation data extraction

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

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

An OCR solution adapted to the capture of medical prescription data

Automatic extraction of information from medical prescriptions:

Drug name, dosage, side effects, active ingredients, active ingredients, etc. Automatically extracts key data from drug packages or leaflets.

From prescriptions to a database

Facilitate the management of medical prescriptions by transforming your prescriptions into structured and usable data.

Multi-format processing

Easily manage and standardize prescription information in a variety of formats (image, PDF, etc.).

Parsing medical prescriptions using an API

Create a comprehensive prescription database, integrated into an application and accessible via API, to automate the management of prescriptions and treatments.

Beyond OCR: Validation and verification of extracted fields

Is the prescription information correct? Are the dosage and quantity prescribed well indicated? Is the prescribed medication valid? Are there any mistakes in the name of the patient or doctor? Optimize prescription management with intelligent OCR.

The OCR API to automate the management of prescriptions

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

No training on your data

Fully encrypted software

Secure storage of extracted data

RGPD compliant

Cadenas noir entouré d'étoiles noires.

Discover all the documents you can automate

SEE ALL TEMPLATES
Photo European Health Insurance Card

Health

Name, first name, date of birth, European social security number

Photo of a Social Security Card

Health

Name, first name, social security numbe

Scan PDFs into Text with Automatic Extraction from Medical Claim Forms Automatically extract key information from healthcare claim forms such as patient name, performed procedures, reimbursed amount, attending physician, and date of care. Turn scanned forms into structured, machine-readable data for faster processing and better health record management.

Health

Patient name, procedures performed, reimbursed amount, attending physician, etc.

Scan PDF to text that automatically extracts nutritional information Turn your documents into actionable data with our intelligent OCR engine. Automatically extract key nutritional values (calories, proteins, proteins, fats, fats, carbohydrates, allergens...) from PDFs, images or food labels. Easily integrate this data into your systems via API and SDK for optimized management of nutritional information.

Health

Calories, proteins, fats, carbohydrates, allergens...

Any question?

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

How does OCR extract information from a prescription?

OCR analyzes the prescription using computer vision algorithms to detect and read characters. With natural language understanding (NLP), OCR can identify critical information. This process ensures accurate extraction of structured and unstructured data from the document.

Can I extract specific information from a prescription?

Yes, you can extract specific information from a prescription, such as medications prescribed, dosages, dosage, or duration of treatment. OCR can be set up to extract this data based on the sections or formats you are dealing with.

Can OCR process a prescription if it is printed or handwritten?

Yes, OCR is capable of processing printed or handwritten prescriptions. If the document is handwritten, OCR uses advanced techniques to recognize handwritten characters and convert them into digital text, while ensuring the accuracy of the extracted data.

In what format should I upload a prescription for OCR analysis?

You can upload your prescriptions in PDF, PNG, or JPEG format. These formats are compatible with our OCR technology, allowing accurate extraction of the information contained in the document. Consult the documenting for more details on accepted formats and the upload process.

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 types of documents can be processed by OCR?

An OCR software, especially an advanced solution like Koncile, can process a wide variety of documents. You can start from our library with all our document templates. Some of the most popular templates include OCR for invoices, OCR for identity documents, and OCR for bank statements. Here's a list of documents that can be processed by OCR:

Common professional documents:

  • Invoices: Supplier invoices, customer invoices, regardless of format (paper, PDF, image) or layout.
  • Purchase Orders: Extraction of product details, quantities, prices, etc.
  • Delivery Notes: Verification of received goods, tracking of deliveries.
  • Contracts: Extraction of key clauses, due dates, and stakeholders.
  • HR Documents: Summaries, cover letters, hiring forms, performance evaluations.
  • Legal Documents: Leases, non-disclosure agreements, various legal documents.
  • Financial Documents: Bank statements, transfer orders, financial reports.
  • Marketing Documents: Contact forms, survey responses, coupons.
  • Logistics Documents: Bills of lading, transport contracts, road or sea transport invoices.

Handwritten documents:

  • Handwritten forms: Questionnaires, surveys, etc.
  • Handwritten notes: Notes taken during meetings, annotations on documents.
  • Medical prescriptions: Koncile is particularly effective in this area.
  • Handwritten tables
  • Handwritten lists

Other types of documents:

  • Digitized documents: Scanned paper archives (books, newspapers, historical documents).
  • Photos of documents: Taken with a smartphone or camera.
  • Screenshots: Containing text.
  • PDF files: “Image” PDFs (scans) and native PDFs (generated by software).
  • Technical documents: Product sheets, manuals.
  • Multilingual documents: From any country and written in any language.

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.