In the age of digital transformation, TEKLIA is at the forefront with its cutting-edge OCR (Optical Character Recognition) and HTR (Handwritten Text Recognition) service Ocelus. Our solutions are designed to transcribe a wide range of printed and handwritten documents in multiple languages, making complex data easily accessible and actionable for your organisation.
Try Ocelus, with your own printed or handwritten documents.
Our advanced Automatic Text Recognition (ATR) services combine both OCR and HTR and are powered by the latest advances in deep learning technologies. Deep learning has completely revolutionised the OCR landscape, improving accuracy rates and enabling the system to understand not only printed but also handwritten text with unprecedented accuracy. This has opened up vast possibilities for the digitisation of a wide range of documents, from administrative records to historical manuscripts.
Using our proprietary technology, we can train fully customised models designed to accurately understand and transcribe even the most difficult or niche language scripts and handwriting. Our commitment to innovation allows us to take OCR and HTR services to the next level, pushing the boundaries of generic models and providing you with accurate, customised data extraction and transcription.
In essence, TEKLIA's services transform your paper document piles into a searchable, editable and analysable digital format. This not only speeds up data retrieval, but also enables you to perform detailed content analysis, extract specific information and make informed decisions. With TEKLIA's OCR and HTR technologies, your documents become more than just static files - they become dynamic resources that can be used for a wide range of applications.
Here are a variety of client use cases that highlight the practical application and benefits of TEKLIA's advanced OCR and HTR services:
- Library of Norway: Development of a handwriting recognition engine in Norwegian and industrialisation of the recognition process to integrate it into the digitisation chain. Multiple hands.
- French National Archives: Transcription of the handwritten book "Mémoires de Jacques-François de Chambray", French, 1281 pages, single hand.
- Library of Sorbonne University: OCR benchmarking for improving the automatic transcription of The Parliamentary Archives of the French Revolution.
- Municipal archives of the city of Belfort: Transcription of the minutes of the municipal councils. Multiple hands, handwritten and printed, 1790 to 1946.