Handwriting Text Recognition (HTR)
Automated handwriting processing
HTR (Handwriting Text Recognition) is a specialized technology for the recognition and interpretation of handwritten text in documents. Our technology helps you to make targeted and efficient use of the information it contains.

Customer references


Time savings for document-based routine tasks
Up to
75%
Savings with HTR / task
Konfuzio uses advanced machine learning algorithms to accurately recognize handwritten text in documents. Through continuous training, our HTR system can also handle highly individual handwriting styles.
AI-based handwriting recognition
Artificial intelligence that bears your signature.
Patient files
Public health
Hospitals and doctors' surgeries often have handwritten reports and prescriptions that can be read using HTR. By creating structured and searchable information, efficiency in the healthcare sector can be increased and processes optimized.
Digital archiving
Revision security
With HTR, handwritten business letters 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.
Transfers and forms
Finance
Many financial institutions also process numerous handwritten formats, for example to make transfers or transmit customer data. HTR ensures a considerable increase in efficiency.
FAQ
Frequently Asked Questions
01.
What is the difference between HTR and OCR?
HTR and OCR are both valuable technologies for text recognition, but they differ in their areas of application and challenges.
- Areas of application - HTR is mainly used for historical manuscripts, personal notes and handwritten documents, while OCR is used for printed books, official documents and typewritten texts.
- Complexity - HTR is more complex than OCR because it has to take into account the variability and inconsistencies of human handwriting.
- Accuracy - OCR often achieves higher accuracy than HTR for handwritten text due to standardized printed fonts.
02.
What are the limits of Handwriting Text Recognition?
HTR requires generally legible handwriting, which in the best case has been designed with appropriate care. Inconsistent spellings or irregular spacing can make the process more difficult. In any case, the technology loses its applicability if people also find it difficult to decipher.
03.
Can OCR and HTR be combined?
Yes, many documents contain both handwritten and printed text. Konfuzio therefore combines the relevant technologies to process all relevant elements accurately.
04.
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.