AI-Powered Unstructured Data Processing

Learn how to transform documents into actionable data with DocHorizon, your ultimate unstructured data processing solution.
Up to 90% faster turnaround time with automation
ISO 9001 & 27001 quality and data security standards

Trusted by 1000+ brands worldwide

Start with an online demo or contact us.

What is Unstructured Data?

The meaning behind unstructured data

A company’s information is the number one asset for data-driven development and decision-making. However, because approximately 80% of all business information exists only in unstructured formats, accessing these data insights is often considered to be a challenge.

The definition & types of unstructured data

In essence, unstructured data is any data that is not organized or displayed in a format that can be immediately used within a database or forwarded to a data processing software. The most common examples include:
Documentation: Reports, articles, and documents stored in PDF, Microsoft docs, or plain text formats. 
Multimedia files: Images, videos, and audio files in their original formats.
Social media: Social media posts, comments, or data from messaging apps that has no predefined structure to it. 
Emails: A lot of unstructured business data is contained in the textual form within email communication. 

How Is Unstructured Data Processed?

The process of extracting actionable data from unstructured sources can be approached in two contrasting ways.
Manual processing of unstructured data carries risks of error and delays due to human limitations and the inability to process data in real time.
Automated processing ensures accurate processing and guarantees near-instant access to your insights by forwarding data to any destination.
For small businesses, manual processing may be manageable, as there are fewer employees involved, making it easier to catch mistakes. The flow of incoming data is also typically not overwhelming at this stage.
However, if your aim is to create scalable processes, automation becomes the preferred choice. It allows for unlimited processing volume without increasing overhead costs to manage unstructured data. 

How to Manage Unstructured Data with Klippa?

With unstructured data processing solutions like Klippa DocHorizon, managing unstructured data becomes effortless as the software takes care of all the heavy lifting for you.
Upload your unstructured data source
Instead of manually typing out the contents of each data source, scan your documents or upload an image via email, FTP, web or mobile application.
Extract any relevant data fields
Define what fields require extraction while the software does the rest. You’re able to extract any pre-defined or customs data fields.
Validate extracted data
Each document undergoes checks for potential tampering or fraud with AI algorithms. You’ll be notified of any document with detected discrepancies.
Forward data for the next steps
Once extracted, you data is seamlessly converted into a machine-readable format such as JSON, XLSX, or CSV to be forwarded to your software of choice.

The Benefits of Automated Unstructured Data Processing

Unstructured data processing software enables you to focus on growth by making room for higher-impact tasks in your day-to-day business flow. By trusting Klippa DocHorizon, you can benefit from: 
Klippa’s AI-powered technology ensures precise data extraction from documents & text in all Latin alphabet languages in record time.
With Klippa’s IDP platform, you can customize and automate your document workflows according to your specific requirements.
Klippa’s software screens for identity and document fraud, making sure that only valid documents are logged into your system.
Automated Compliance
AI algorithms empower you to automatically mask sensitive information from processed documents, ensuring compliance with privacy regulations.

Curious how we can help you? Get in touch with us today. 

What Are the Use Cases for Unstructured Data?

Unstructured document processing is applicable across many business processes. Whether you’re drawing inspiration from the provided examples or pursuing a unique vision, Klippa has got you covered.
Process and match invoices, purchase orders, or delivery notes.
Handle insurance claims, medical prescriptions, car titles and more.
Process any documents or text arriving into your mailbox.
Scan receipts and invoices, and extract relevant line items.
Manage all order-related documentation like bills of lading.

How to Integrate Unstructured Data Processing Software?

Klippa provides easy integration via our platform, API, or SDK, and broad compatibility with major platforms and tools. Our solutions are well-documented for seamless unstructured data management.

Low-Code Platform

Easily create & automate your entire document workflow on one platform.

API Integration

Connect our modules to your own application(s) via API.

Mobile Scanning SDK

Employ our SDKs to empower your mobile applications with smart scanning.

Compatible With Your Favorite Tools

See all of our 50+ integrations.

Klippa DocHorizon is here to make unstructured data processing simple for you.

Case Studies | Unstructured Data Processing

Learn How Alasco Transformed Their Real Estate Software with Automated Invoice Processing

With Klippa’s OCR, Alasco was able to extract invoice data directly into its own real-estate software.
300 %
faster workflows and processing after integrating Klippa DocHorizon.

We Take Your Data Privacy & Security Seriously

“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.”
Leon Backbier
IT Manager, Banijay Benelux
Get Started Now!
Let Klippa’s experts show you how to process all of your unstructured data in an accurate and efficient way.

Frequently Asked Questions

How does Klippa’s software process unstructured data? 

Klippa’s intelligent document processing solution uses a combination of AI technologies such as computer vision, machine learning, and deep learning. These AI technologies are used together with OCR to automate document processing.

As soon as we receive the picture or PDF, our OCR software will convert it to a TXT file. The parser takes the TXT which was extracted by the OCR in the previous step and converts it into JSON, using machine learning algorithms. Then, the JSON is returned as output from the API.

Additionally, Klippa has solutions for document classificationfraud detection and anonymization.

Contact us for more information.

Which document languages does Klippa support?

Currently, Klippa supports all Latin languages. Our engine performs best on receipts in English, Dutch, Norwegian, Danish, Swedish, Finnish, Italian, Portuguese, Spanish, German, and French.

However, other languages can be supported on request. We’re open to training our machine learning models. If you have a specific case, don’t hesitate to contact us.

Is document processing with Klippa GDPR-compliant?

By default, Klippa does not store any customer data. Data is always processed under a data processing agreement (DPA) and all services from Klippa are compliant with GDPR. All data transfer is done via secure SSL connections.

Our servers are ISO-certified and by default located in Amsterdam, the Netherlands. Getting a custom server on a location of choice is possible in any location worldwide.

On a regular base, our security is tested via third-party penetration testing to ensure state-of-the-art security at all times.

How can I integrate Klippa’s document automation solutions?

Our APIs can be implemented into any software, web or mobile solution that you may be using. The main source of communication is JSON, so it is independent of specific programming languages.

Our mobile SDKs have been built using native IOS (Swift) and native Android (Kotlin). This means they can be implemented into native apps, but they can also be wrapped for cross-platform languages such as Xamarin, ReactNative, Nativescript, Flutter, PhoneGap, Cordova, Ionic and more.

On our platform, you can access our APIs and configure your document workflows, as well as set up your own Human-in-the-loop process.

Klippa’s solutions are made in a developer-friendly way. It is well-documented, so that you can have all the information for successful implementation.