Have a personal or library account? Click to login
Automatic Text Recognition in Cultural Heritage Institutions. Survey Results Cover

Automatic Text Recognition in Cultural Heritage Institutions. Survey Results

Open Access
|Nov 2025

Figures & Tables

Table 1

Sample survey questions and resulting variables.

SAMPLE SURVEY QUESTIONSSAMPLE RESULTING VARIABLES
Q7 – Why did you decide to use ATR for your collections? Please select all that applyCreate datasets for future use;
Implement content search for users; Research; Other
Q8 – Which tools do you use for performing Automatic Text Recognition? Please select all that applyTranskribus; eScriptorium; ABBYY Adobe Acrobat; Document AI by Google; Azure by Microsoft; Textract by Amazon; Tesseract OCR; Local LLM with Computer Vision; Online LLM with Computer Vision; Other
Q19 – What standard(s) of metadata do you use for documenting the ATR process? Please select all that applyALTO; METS; MIX; PREMIS; IIIF; Not sure; Other
Q23 – Have you evaluated the environmental sustainability of your ATR workflow?Yes, we have fully evaluated it; Yes, we have done some evaluations; No, but we would like to; No, we are not interested; Not sure
Q24 – Have you evaluated the ethical considerations about the accuracy of ATR on different collection areas?Yes, we have evaluated it; No, but we would like to; No, we are not interested; Not sure
Q25 – Are copyright assessments and copyright law considerations part of your regular ATR workflow?Yes, it is part of our workflow; No, but we would like to implement it; No; Not sure
DOI: https://doi.org/10.5334/johd.374 | Journal eISSN: 2059-481X
Language: English
Submitted on: Aug 18, 2025
Accepted on: Sep 1, 2025
Published on: Nov 14, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Valentina Vavassori, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.