Intelligent Document Processing at DocuWare

Achieve higher automation
rates in office processes

Unlock the power of your documents by leveraging the most accurate data extraction DocuWare has to offer through OCR and HTR.

DocuWare's Intelligent Document Processing Solution facilitates far more productive work than traditional document processing procedures using solutions powered by AI.

Effortlessly sort your documents, whether from an email or scan with automated document classification.

DocuWare IDP runs in the background, saving time for more important tasks and eliminating manual efforts by increasing automation in document workflows.

Split, extract data and classify your documents with ease

DocuWare IDP leverages best-in-class AI to provide customers with the fastest document lifecycle automation rates, greatly improving overall productivity and earnings.

Automatic classification reduces time and effort spent by triggering document workflows.
Almost any document type can be automated, even weathered scans or handwriting.
Complex data positions can be extracted precisely regardless of page breaks.
Trainable AI model empowers custom workflows and integrations with accurate data from the start.
Pre-trained use cases for dramatically reduced configuration requirements.
Focus on other tasks while IDP runs in the background, facilitating less manual intervention.
Scale business with the same or fewer resources.

Classification

Save time and money with classification by automating document-based workflows, ensure your document is always in the right place at the right time.

Extraction including HTR

Extract either character or handwritten text from documents, even of poor quality or with complex data positions, eliminating human input.

Splitting

Detects individual documents within a batch and automatically divides them into separate pdfs, ensuring consistent processing and better alignment across systems.

Cropping

Cropping standardizes the sizes of documents from various sources, ensuring consistent and optimized processing.

Classification

Identifies different document types and automatically assigns them to categories based on their content and properties. Classification can also trigger specific workflows for designated document types, further increasing automation rates.

Classification use cases

Identify documents and push them into process-specific storage
Trigger a specific workflow based on the document type
Eliminate “trash” that you don’t want to archive (images logos from email or signatures for example)

Extraction

Extraction takes the critical information present on documents (e.g. Invoices or identity documents) using OCR technology and assigns them to a designated data field for further processing. This eliminates manual data entry and human-error.

Extraction use cases

Archiving old, weathered or crumpled files
Reading out dirty documents (e.g., logistics, construction)
Complex data positions and page breaks

Extraction for Handwriting

Extraction using HTR (Handwritten Text Recognition) recognizes handwritten text with high accuracy and converts it to editable characters which can then be used as index entries with high accuracy.

Extraction for Handwriting use cases

Standardized forms from authorities, tax offices, applications, etc.
Logistics documents with handwritten notes
Contracts and document addendums

IDP with DocuWare Cloud

IDP functions are called up directly during document capture in DocuWare or during workflows, ensuring comprehensive automation.

IDP with a DocuWare on-premises system

The cloud-based IDP functions can also be seamlessly integrated into locally installed DocuWare systems, both during document capture and in workflows.

IDP standalone (without DocuWare system)

You can use the IDP API or the make.com integration platform to connect IDP functions to other systems, such as an HR platform.

IDP White Label

Offer state-of-the-art document automation under your own brand with DocuWare's White Label AI document automation suite.

Pre-Built

Models come pre-configured with established structures, defining the data fields they extract or the classes they classify.

Fine-Tune Pre-Built

If the pre-built model performance is not optimal for your specific data, you can fine-tune the model by providing it with more specific data.

Build Your Own Model

You can provide the data for your unique case to enhance performance where a pre-built model might not yet meet the standards for specific document process.

When switching to DocuWare IDP, we focused on selecting documents that could not be processed satisfactorily using our rule-based system. Our implementation partner provided excellent support during the process of introducing the AI solution.

With IDP, the indexing runs in the background. We don’t have to do anything on that front anymore. From the invoice number to the date, invoice amount, total before and after taxes, and even the individual line items—all the key data is extracted reliably. It saves us an incredible amount of time—and also makes work more enjoyable.

Our goal with digitalization is to be able to continue scaling while maintaining the same team size. It should make no fundamental difference whether 100 or 1,000 vehicles go through our processes every day.

With DocuWare, we bet on the right horse. The fact that it’s both simple to use and still offers a broad palette of options make the system so attractive. For our company this has translated to a huge time savings, reduced costs, and a boost in both quality and transparency.

Frequently Asked Questions

How does DocuWare's IDP solution leverage AI to improve efficiency in businesses?

IDP understands the document more like a human does and therefore requires less instruction or manual intervention to complete workflows, increasing efficiency.

How does IDP differ from traditional document capture software?

Unlike traditional software that handles only structured data, IDP excels in processing unstructured data, handwriting, and poor-quality documents, providing greater accuracy and efficiency.

How do we know that the extracted data is accurate?

Our AI is based on a confidence level for every data point. Pre-built models come with 97% accuracy out of the box and can be trained for further customization and precision.

How do we improve the AI model?

Over 360 million documents have been used to train the model. You can continuously improve the AI model by training it further.

What is the primary difference between IDP and Intelligent Indexing?

Intelligent Indexing takes place before the document is stored in the file cabinet. The extracted data can be confirmed by the user, errors can be corrected and missing information can be added. This feedback continually trains Intelligent Indexing.

IDP typically requires training by a partner, which is typically a paid service.

Can DocuWare IDP be used without a document management system?

Yes, DocuWare IDP can function as a standalone solution for organizations that require advanced document processing without the need for a full document management system.

Is my data safe while using AI for document processing?

Yes, your data is safe!

All data is anonymized before it is used to train the basic model. Furthermore, the AI system never uses the entire document, but only a single, very small component of each document. The documents themselves cannot be reconstructed, nor can personal data.

DocuWare IDP is subject to the strict rules of the GDPR.

Intelligent Document Processing Solutions

Achieve higher automation
rates in office processes

How AI-powered document processing
overcomes inconsistency

Intelligent Document Processing Workflow