TEKLIA

Discover TEKLIA's AI-Powered Photographic Analysis Service

Christopher Kermorvant

Discover TEKLIA's AI-Powered Photographic Analysis Service

Discover TEKLIA's game-changing service - a state-of-the-art AI-powered tool designed to transform the way museums, archives, and art institutions manage and analyze their photographic and illustrative collections.

5 Nov 2023

Colonial conscription and its role in the evolution of contemporary Mali: an exploration using automatic document recognition

Christopher Kermorvant

Colonial conscription and its role in the evolution of contemporary Mali: an exploration using automatic document recognition

Discover how the application of document recognition technology to colonial conscription registers provides access to previously unpublished information and opens up new perspectives for studying Mali's past.

11 Oct 2023

Point d'étape du projet Socface

Christopher Kermorvant

Point d'étape du projet Socface

Le projet Socface vise à étudier les transformations de la société française au XIXème et début du XXème siècle à travers les listes nominatives de recensement.

10 Sept 2023

TEKLIA to Present Four Research Papers at ICDAR 2023

Christopher Kermorvant

TEKLIA to Present Four Research Papers at ICDAR 2023

TEKLIA is set to present four research papers at the ICDAR 2023, held in San José, California.

Communication

1 Aug 2023

Beyond Handwritten Text Recognition

Christopher Kermorvant

Beyond Handwritten Text Recognition

This article explores our unique approach of using deep learning to not only transcribe historical documents, but also extract valuable information and recognize complex handwritten tables. Learn how TEKLIA is revolutionising the processing of historical and patrimonial documents, dramatically simplifying research and improving the accessibility of historical data.

OCR/HTR

30 Jul 2023

Soutenance de thèse de Mélodie Boillet

Christopher Kermorvant

Soutenance de thèse de Mélodie Boillet

TEKLIA a le plaisir de vous inviter à la soutenance de thèse de Mélodie Boillet qui se déroulera le mardi 10 janvier à 14h00 dans l'amphithéâtre Sophie Germain (D) de l'UFR Sciences et Techniques, au ...

15 Jul 2023

IA pour le traitement de document d'archives: un état de l'art

Christopher Kermorvant

IA pour le traitement de document d'archives: un état de l'art

Comme de nombreux secteurs d'activité, le traitement automatique des documents d'archives a été fortement impacté par les récents développements de l'Intelligence Artificielle et du Deep Learning. Que peuvent faire les machines aujourd'hui qu'elles ne pouvaient pas faire avant ?

14 Jul 2023

New models, new possibilities for extracting information from digitised documents

Christopher Kermorvant

New models, new possibilities for extracting information from digitised documents

Digitised documents, i.e. documents originally created in physical form (paper, parchment, papyrus) and then digitised as images, have until now been difficult to exploit with information extraction a...

24 Dec 2022

Automatic Text Recognition - The convergence between OCR and HTR technologies

Christopher Kermorvant

Automatic Text Recognition - The convergence between OCR and HTR technologies

Being able to process textual documents automaticaly has long been a challenge for Artificial Intelligence researchers. When dealing with text recognition from document images, multiple elements need ...

6 Dec 2022

Meet Callico, Teklia's new collaborative platform for your document annotation campaigns

TEKLIA has designed and developed a collaborative web annotation platform with five annotation modes dedicated to documents recognition projects.

30 Sept 2022

When Automatic Document Processing meets Egyptian History

Christopher Kermorvant

When Automatic Document Processing meets Egyptian History

To celebrate the centenary of an important archeological campaign, Teklia has been selected by the IFAO to provide a platform allowing both the training of Deep Learning models for HTR on scanned pages, and the classification and indexation of data.

13 Sept 2022

SIMARA: automatic conversion of finding aids with handwriting recognition

Christopher Kermorvant

SIMARA: automatic conversion of finding aids with handwriting recognition

TEKLIA was chosen by the French National Archives to develop a web application dedicated to the conversion of scanned handwritten finding aids, based on high-performance Deep Learning models for handwriting recognition.

23 Jul 2022

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