TEKLIA is set to present four research papers at the ICDAR 2023, held in San José, California.
By Christopher Kermorvant
This article explores our unique approach of using deep learning to not only transcribe historical documents, but also extract valuable information and recognize complex handwritten tables.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.
By Christopher Kermorvant
Callico, our crowdsourced annotation platform, is now released as open source software under the AGPL-v3 license!
By Bastien Abadie
The International Committee of the Red Cross and Teklia are working on a new workflow for recognizing handwritten lists.
The Sainte Geneviève Library and Teklia have collaborated to perform automatic handwriting recognition on a digitised paper catalogue containing more than 50,000 records and 6,000 pages.
Are you in search of a versatile and efficient document annotation tool? Look no further than Callico, a dedicated platform that outperforms its competitors in various aspects.
By Christopher Kermorvant
Spacy, the Industrial-Strength Natural Language Processing tool, is now fully integrated into Arkindex for named-entity recognition. All the models available from spacy can be configured and applied on your documents in Arkindex.
By Christopher Kermorvant
By Christopher Kermorvant
By Christopher Kermorvant
In collaboration with Teklia, the Archives of the City of Belfort have launched a pilot project consisting of the automatic transcription of all the registers of deliberations of the city councils.
By Christopher Kermorvant
TEKLIA has designed and developed a collaborative web annotation platform with five annotation modes dedicated to documents recognition projects.
By Bastien Abadie
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.
By Christopher Kermorvant
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.
By Christopher Kermorvant
TEKLIA is an official sponsor of the 2022 DAS Conference and will present its latest research results in HTR and NER.
By Christopher Kermorvant
An overview of our work on processing about 2 million scanned images in the BALSAC project
By Martin Maarand
A Python 3 library that allows you to apply Doc-UFCN models on your documents.
By Mélodie Boillet
A new version of our CLI tool lets you export an Arkindex project to PDF and ALTO files.
By Erwan Rouchet
An overview of some of the changes that IIIF 3.0 brings, and what could force non-compliant servers to change.
By Erwan Rouchet
An overview of the many ways we work around common issues with external IIIF servers in Arkindex.
By Erwan Rouchet
An introduction to simple tools to ensure your server complies with IIIF.
By Erwan Rouchet
We ran into numerous issues while interacting with IIIF servers. This post documents some of them so that they can be avoided in the future or managed by other clients.
By Erwan Rouchet
TEKLIA releases a new version of Ocelus for automatic recognition of handwritten documents in Arabic.
By Marie Amyot
A summary of Teklia's work on IIIF servers deployment choices in a performance objective.
By Valentin Rigal
TEKLIA releases a tool to make interacting with Transkribus and PAGE XML in Python easier.
By Erwan Rouchet
TEKLIA joins the Synthesys+ project to develop a platform for automatic data extraction from natural history specimen images
By Christopher Kermorvant
The French National Research Agency funds a project by TEKLIA and its partners to process 100 years of French census.
By Marie Amyot
Performance analysis of several widely used open source servers implementing the IIIF API 2.0 specification, in the context of high-throughput Machine Learning workflows
By Valentin Rigal
Geosophy and TEKLIA are very pleased to collaborate to demonstrate that archival documents can contain useful data to address contemporary issues such as environment, energy and housing.
By Christopher Kermorvant
TEKLIA will develop Machine Learning models to assist medical doctors in extracting information from clinical report in order to create a large scale research database.
By Christopher Kermorvant
In the context of TEKLIA's involvement in the SYNTHESYS+ project, we took a look at 4 potential data formats to output the results of layout analysis, OCR and HTR, and NER processing.
By Marie-Laurence Bonhomme
Arkindex was presented at the IIIF event organized by the IIIF360 consortium (Biblissima, Campus Condorcet, TGIR Huma-Num)
By Christopher Kermorvant
TEKLIA is very happy to announce a collaboration with the Ministry of Communications and Information Technology (MCIT) in Egypt to develop AI-based technology to automatically understand handwritten historical documents in Arabic.
By Christopher Kermorvant
TEKLIA will assist PSE in a research project dedicated to the study of local governance of forest resources in Nepal thanks to automatic information extraction from administrative records in Nepali
By Christopher Kermorvant
TEKLIA will present two research papers at the 15th International Conference on Document Analysis and Recognition organised by University of Technology Sydney (UTS), Australia and hold at the International Convention Centre (ICC) Sydney.
By Christopher Kermorvant
The CaptchAN project will develop a captcha service using cultural and patrimonial data provided by partner cultural institutions.
By Christopher Kermorvant
TEKLIA will handle the automated transcription, named entity recognition and extraction from over 6 million digitized parish register entries (birth/baptism and death records mainly), dating from 1850 to 1920.
By Christopher Kermorvant
By Christopher Kermorvant