Optical Character Recognition
Process printed material digitally

Our Optical Character Recognition (OCR) recognizes printed text and handwritten notes in 100+ languages and extracts this information from your documents, files, images or scans. This enables further digital processing in the company's own inventory systems.

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Time savings for document-based routine tasks

Up to

75%

Savings with OCR / task

The most frequently read documents at a glance

Invoices

Delivery notes

Energy certificates

Bank statements

Securities settlements

Bills of lading

Identity cards

payment advices

Contracts

Insurance policies

Vehicle documents

Individual documents

Manually processing 1,000 invoices per month costs a company around 50 hours. With the help of OCR automation, this time can be efficiently redirected to the core business.

AI-based text recognition

Freeing up resources through automation, Higher precision in data.

Various documents

Konfuzio's OCR reliably reads many different documents. Whether it's an invoice, delivery bill, insurance policy, energy certificate, bank statement, etc.

Simple integration

The information obtained can be transferred to existing systems such as SAP as structured and reusable data.

Variety of languages

With support for 100+ languages, the Konfuzio OCR is also ideal for reading documents from globally active companies.

Output formats

Simple conversion of searchable files in PDF or PDF/A format. On request, the text can also be processed into other file formats (e.g. DOCX, XLSX, PPTX). You can also receive your OCR output in JSON or CSV format.

OCR online API

Using the OCR online API, you can easily integrate the Konfuzio OCR software into your own software via REST or RPA robots. This makes the functionalities a fully integrated part of your digital offering.

Python OCR SDK

Our Python OCR SDK is fully documented to process documents in your systems. Create customized applications that extract text information from images and documents.

Automation of document capture with Konfuzio OCR.

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Use Cases

How OCR can improve your business processes improved.

Our Optical Character Recognition optimizes data capture in all areas of the company, accelerates processes, reduces errors and improves the basis for decision-making through precise data.

Document processing

Process optimization

Structured information and data is extracted from unstructured texts and imported into digital systems. Information such as name, address, telephone number, invoice or article numbers etc. can be recorded and used in databases or CRM systems.

Availability of structured and processable data without personnel processing.

Digital archiving

Revision security

Using OCR, printed documents can be converted into digital formats and stored in electronic archives. There they can be easily searched and further processed. This makes it easier to search, access and manage documents.

Automated archiving and compliance with all legal regulations.

Mail and parcel processing

logistics

OCR optimizes mail and parcel processing by automatically recognizing and processing handwritten and printed addresses and barcodes. This enables faster sorting and delivery processes, reduces costs and improves traceability.

Faster sorting and delivery processes and improved traceability.

FAQ

Frequently Asked Questions

01.

What added value does AI-based OCR have compared to traditional OCR solutions?

Conventional OCR software often requires the manual creation of rules and layouts. The AI software Konfuzio, on the other hand, automates this time-consuming task using algorithms. This saves the resources of IT experts, as the software also learns from non-IT experts and it is still possible to customize the software.

02.

Can the OCR also recognize handwriting?

Yes, OCR systems can recognize handwriting. Often it is also possible to recognize Handwriting Text Recognition (HTR) the talk. However, the recognition of handwriting by AI depends on whether the handwriting is clear and distinct enough to be read by third parties. Handwriting that is intentionally designed to be legible is typically easier for humans and AI technologies to recognize.

03.

Are check boxes supported?

In addition, Konfuzio offers a module for Optical Mark Recognition (OMR)so that forms can be processed that contain boxes and checkboxes in addition to text.

Optical Character RecognitionProcess printed material digitally

FAQ

Frequently Asked Questions

Optical Character Recognition
Process printed material digitally