Medical Prescription OCR
Automate your workflows by extracting essential data from medical prescriptions using our AI-powered OCR.
Trusted by 1000+ brands worldwide
the product
What is Medical Prescription OCR?
Medical Prescription OCR is an advanced technology that automatically recognizes and captures relevant information from both handwritten and printed medical prescriptions. Klippa DocHorizon, with its built-in AI-powered OCR, is capable of precise data extraction and format conversion for easy integration with any data management or ERP systems.
Improve Workflow Efficiency
Enhance your efficiency through the automated extraction of crucial patient and prescription data. Do more in less time.
Ensure the Safety of Patients
Capture prescription details with nearly 100% accuracy for precise patient treatment and accurate medical archives.
Streamline Prescription Processing
Eliminate the need for manual data entry so pharmacists or hospital personnel can focus on patient care.
How it works
Process Medical Prescriptions in Just a Few Steps
Instantly capture and convert your medical prescriptions into any structured format, enabling seamless integration to optimize and scale your workflows.
Send Your Medical Prescription
Scan your medical prescriptions with our mobile scanning SDK or upload them to our platform in any of these formats:
.jpg, .jpeg, .png, .pdf, .doc, .docx, .xlsx, .heic, .webp, and more.Extract Data
Choose which data fields you want to extract, such as the patient name, address details, or date to name a few.
Receive Formatted Output
Select from various structured formats like JSON, XML, or CSV that match your desired output destination.
Forward Your Data
After transforming your data into a structured format, you can then forward it to your accounting, ERP or other preferred software for further processing.
What Data Fields You Can Capture with Klippa’s OCR for Medical Prescriptions
Here are a few examples of data fields you can extract. All fields can be fully customizable to your needs. Need to extract additional fields? Let us know!
Klippa DocHorizon
Endless Possibilities for Medical Prescriptions
Klippa DocHorizon, our intelligent document processing solution, can automate various document-related processes that involve medical prescriptions.
Medical Prescription scanning
Format conversion to structured data
Image to text & JSON with OCR
Data extraction
Classification & analyzation
(Cross) validating data
Workflow automation
Anonymization and pseudonymization
How to Implement
Implement Medical Prescriptions OCR into Your Workflow
Klippa provides easy integration via our platform, API, or SDK, and broad compatibility with major platforms and tools. Our well-documented solutions guarantee a hassle-free and smooth experience.
Low-Code Platform
Easily create & automate your entire document workflow on one IDP platform.
API Integration
Connect our Medical Prescriptions OCR to your own application(s) via API.
Mobile Scanning SDK
Employ our SDKs to empower your mobile applications with smart scanning.
We Take Your Data Privacy & Security Seriously
We Support a Wide Range of Medical Documents
With our solutions, you can automatically extract and validate data from 10+ medical document types.
“It is extremely pleasant to work together with a party that is as ambitious as we are. The willingness and speed with which Klippa implemented specific modifications for us is impressive.”
Let’s begin!
Discover the power of Klippa’s Medical Prescription OCR, as our experts help you revolutionize your document processing.
Frequently Asked Questions
How much does medical prescription OCR cost?What types of medical prescription are supported?What kind of clients are using Klippa?What languages does Klippa support?Is Klippa medical prescription processing GDPR- compliant?Can Klippa convert medical prescription to CSV, XLSX, XML or JSON?
How much does medical prescription OCR cost?
The pricing structure for Klippa medical prescription capturing depends on the amount of fields and the document volume. Both pay per use and monthly licenses are available. Get in contact with our product specialists to get an exact quote.
What types of medical prescriptions are supported?
There are many different types of medical prescription in the world or even in one country. In general, we support all these types and forms. In case you wonder if we support a certain form or have any other question, feel free to contact us.
Did you know that apart from medical prescriptions, Klippa OCR can scan other types of medical documents, such as health insurance cards? Contact us for more information.
Can Klippa convert medical prescription to CSV, XLSX, XML or JSON?
Yes. Klippa can scan medical prescription, or their PDF equivalents, and converts them to readable text using OCR. From there we use AI to turn the text into structured data. Most of the time we use JSON for this, but depending on your preferences we can also convert medical prescription to CSV, XLSX or XML.
What kind of clients are using Klippa?
Klippa’s engine extracts as much data as possible from medical prescriptions via OCR and machine learning. We support many different types of clients, because our engine is so versatile.
It is most commonly used by clients from insurances, hospitals, clinics and more.
It is most commonly used by clients from insurances, hospitals, clinics and more.
What languages does Klippa support?
All European languages are supported. Our engine performs best in English, Dutch, Norwegian, Danish, Swedish, Finnish, Italian, Portuguese, Spanish, German, Hebrew and French. Other languages can be supported on request, we’d just need to train our machine learning models.
Is Klippa medical prescription capturing GDPR-compliant?
All the services that Klippa offers are fully GDPR-compliant. By default, we use ISO-certified servers within the European Union for processing. If you are not located within the EU, we can also set up servers in a region of choice.
Next to that, a data processor agreement is in place. We do not store any of your or your customers’ data after processing.