Our Mission
To preserve and make accessible the world’s historical heritage through innovative technology.
ABOUT US
Our Story
Founded by a team of dedicated researchers and technologists from the PRHLT group at Universitat Politècnica de València (UPV), tranSkriptorium was born from a passion for bridging the gap between historical manuscripts and modern research. Our commitment to excellence drives us to continuously enhance our technology, ensuring outstanding results even in contemporary applications.
TRUST
Why choose us
At tranSkriptorium, we bring together decades of groundbreaking research and innovation to deliver state-of-the-art technology. Developed by a world-class team, our solutions are backed by extensive scientific expertise and international recognition
Built on Excellence
The result of a dedicated, high-level research team committed to pushing the boundaries of technology.
Decades of Advancement
Global Recognition
Scientifically Proven
Trusted Worldwide
The success of our projects across the globe underscores the acceptance and value of our technology.
University-Backed Innovation
EXPERTS
Our Team
Luis Antonio Morró González
Industrial Engineering, Finance, Market Development, Legal, HHRR’s, Operations. CEO in sectors of Distribution, Logistics, Industrial, Financial, Electronics, Robotics, M&A and Innovation Consulting etc. Serial Entrepreneur: Deeptech (AI, Robotics, Biomedicine and others).
Vicente Bosch Campos
Experienced Software engineer, 7 years consulting at major firm.
Reconverted to PhD in Computer Science specializing in ML for document processing.
Developing HPC solutions at tS while leading client projects. Full-time Dad, Martial Arts aficionado.
Lorenzo Quirós Díaz
Experienced ML engineer with a PhD in Computer Science, specializing in ML software for handwritten document processing and recognition. Passionate about problem-solving, nature, and a good cup of coffee.
José Andrés Moreno
ML enthusiast currently pursuing a PhD in historical document processing. Passionate about retrieving valuable information from historical structured documents, exploring state-of-the-art technologies, and riding roller coasters.
Sam Barroso Bellido
Machine Learning specialist with experience in handwritten text recognition. PhD in Theoretical Physics, musical composer since I can remember, and a coffee-based machine.
David Becerra Gutiérrez
Degree in History from the University of Cádiz. Master’s Degree in Documents and Books. Archives and Libraries from the University of Seville. Currently studying a PhD in Digital Humanities.
Alejandro Sáez Subero
ML Engineer with 10+ years in computer engineering, 4+ in deep learning and computer vision. Skilled in end-to-end solutions and backend development. Passionate about tech, problem-solving, and enjoying books, coffee, or beer.
Miguel Díaz Campos
Experienced full-stack developer skilled in building scalable, user-focused web applications. Passionate about clean code, thoughtful design, and connecting users with technology.
Aitor Aguilar Esteban
Digital Humanities researcher with a background in Early Modern military history, focused on market development and archival work. Passionate about reading, the beach and sun, and sports.
SPECIALISTS
Our Advisors
Enrique Vidal Ruiz
Emeritus professor of the UPV and former co-leader of PRHLT research center. With 300+ publications in the fields of Pattern Recognition, Multimodal Interaction and applications to Language, Speech and Image Processing and has led many important projects in these fields. Dr. Vidal is a fellow of the International Association for Pattern Recognition.
Joan Andreu Sanchez Peiró
Machine Learning researcher and professor at UPV, with long experience in Pattern Recognition applied to Computer Vision, Speech Processing, NLP and Text Recognition.
Alejandro Héctor Toselli
Electrical and computer engineer with experience and PhD in Computer Science. His activity focuses mainly on the research of Machine Learning methods in the area of document analysis and recognition.
Carlos Alonso Villalobos
Historian with a background in archival studies. Career civil servant with expertise in document management and research. Partner of tS, acts as a consultant for the development of products and the selection of documents to be used in the training of the models.