Project Gutenberg’s Artificial Intelligence Initiatives
DOI:
https://doi.org/10.5860/ital.v45i3.17709Keywords:
Project Gutenberg, Artificial Intelligence, Audiobooks, Book Summaries, Book Categorization, Prompt EngineeringAbstract
This paper reviews Project Gutenberg’s (PG) use of artificial intelligence (AI) with the free books in its digital library. The paper covers three main projects where PG has integrated AI into its workflow. The three areas discussed are disparate in nature and include audiobook, book summary, and browsing category generation. The paper reviews the AI models and processes used, as well as how volunteers and users have responded to the organization’s use of AI. PG’s dataset is extremely large and includes more than 75,000 books. Large datasets can be challenging and costly for AI models to process. The main goal of this paper is to share how PG has incorporated AI processes into the workflow of a very large digital library while maintaining human oversight.
References
Annika Ahrens-Schwabe et al., “Who Cares about Artificial Intelligence? Human and Artificial Voices in Audiobooks,” Computers in Human Behavior Reports 22 (May 2026): 7, https://doi.org/10.1016/j.chbr.2026.101068.
Audio Publishers Association, “The Audio Publishers Association Annual Survey Shows Audiobook Sales Grow to 2.22 Billion Dollars,” Research Surveys Press Releases, accessed April 6, 2026, https://www.audiopub.org/surveys.
Aytuǧ Onan and Hesham Alhumyani, “Assessing the Impact of Prompt Strategies on Text Summarization with Large Language Models,” in Computer Applications in Industry and Engineering, edited by Gongzhu Hu et al. (Switzerland: Springer Nature, 2025), https://doi.org/10.1007/978-3-031-76273-4_4.
Brendan Walsh et al., “Large-Scale Automatic Audiobook Creation,” paper presented at Interspeech 2023, Dublin, Ireland, August 20–24, 2023, 3675, https://www.isca-archive.org/interspeech_2023/walsh23_interspeech.pdf.
Charlene Chou and Tony Chu, “An Analysis of BERT (NLP) for Assisted Subject Indexing for Project Gutenberg,” Cataloging & Classification Quarterly 60, no. 8 (2022): 807–35, https://doi.org/10.1080/01639374.2022.2138666.
Emma Rodero and Ignacio Lucas, “Synthetic versus Human Voices in Audiobooks: The Human Emotional Intimacy Effect,” New Media & Society 25, no. 7 (2023): 1, 3–5, 13–15, https://doi.org/10.1177/14614448211024142.
Francisco Tadeu Gonçalves De Oliveira Foz Foz et al., “Automatic Classification of Subjects and Sustainable Development Goals (SDGs) in Documents with Generative AI: An Experience from the Unicamp Library System,” Information Technology and Libraries 45, no. 1 (2026), https://doi.org/10.5860/ital.v45i1.17510.
Haitao Huang et al., “A Concise Review of Long Context in Large Language Models,” paper presented at the International Conference on Algorithms Software Engineering and Network Security, Nanchang, China, April 26, 2024, 563, https://doi.org/10.1145/3677182.3677282.
Heather Moulaison-Sandy and Zach Coble, “Leveraging AI in Cataloging: What Works, and Why?,” Technical Services Quarterly 41, no. 4 (2024): 381, https://doi.org/10.1080/07317131.2024.2394912; Mary Aycock, “Prompting Generative AI to Catalog: The Promise and the Reality,” College & Research Libraries News 86, no. 10 (2025): 423–30.
Ilana Kingsley, “Innovating with AI: Project Gutenberg’s Approach to Free eBooks and Literary Management,” virtual conference presentation, August 18, 2025, by Pacific Northwest Library Association, YouTube, 18.38, https://www.youtube.com/watch?v=WXD7rUMyzc4.
“Innovation Fuels Thriving Audio Industry,” Publisher’s Weekly, June 2, 2023, 35.
John Berryman and Ziegler, “Chapter 5: Prompt Content: Few-Shot Prompting,” in Prompt Engineering for LLMS (O’Reilly Media, Inc., 2024), https://learning.oreilly.com/library/view/prompt-engineering-for/9781098156145/ch05.html#ch05_few_shot_prompting_1728435524681340.
Jothan Almeida, “Prompt Engineering: A Comparative Study of Prompting Techniques in AI Language Models,” paper presented at 2025 IEEE Integrated STEM Education Conference, Princeton, New Jersey, USA, March 15, 2025, 1, 2, https://doi.org/10.1109/ISEC64801.2025.11147384.
Koraljka Golub, “Automated Subject Indexing: An Overview,” Cataloging & Classification Quarterly 59, no. 8 (2021): 702–19, https://doi.org/10.1080/01639374.2021.2012311.
LibriVox, “About LibriVox,” accessed April 5, 2026, https://librivox.org/pages/about-librivox.
Marta Magadán-Díaz et al., “Audiobooks and Artificial Intelligence: Tools for Synthetic Audiobook Creation and Implications for the Publishing Industry,” Publishing Research Quarterly 41, no. 3 (2025): 406, https://doi.org/10.1007/s12109-025-10049-1.
Mary Burkey, “Voices in My Head,” Booklist, June 1, 2015, 133.
Matthew Rubery, “Audiobooks, Literature, and Sound Studies,” in Audiobooks, Literature, and Sound Studies (London, UK: Taylor & Francis Group, 2011), 5.
Michelle Faverio and Andrew Perrin, “Three-in-Ten Americans Now Read e-Books,” Pew Research Center, January 6, 2022, https://www.pewresearch.org/short-reads/2022/01/06/three-in-ten-americans-now-read-e-books.
Microsoft, “Project Gutenberg Brings Free Audiobooks to the Global Community with AI-Generated Book Narration,” July 18, 2023, https://www.microsoft.com/en/customers/story/1646266241611394912-project-gutenberg-nonprofit-azure-synapse-analytics-azure-ai-services. Eric Oliver, “Why So Many Americans Believe in So Many ‘Crazy’ Things,” moderated by Andrew McCall, virtual lecture, February 23, 2022, posted March 21, 2022, by University of Chicago, YouTube, 1:01:45, https://youtu.be/hfq7AnCF5bg.
Microsoft, “SynapseML,” accessed April 5, 2026, https://microsoft.github.io/SynapseML/docs/Overview.
Millicent Weber, “‘Reading’ the Public Domain: Narrating and Listening to Librivox Audiobooks,” Book History 24, no. 1 (2021): 210, https://doi.org/10.1353/bh.2021.0007.
Project Gutenberg, “Project Gutenberg,” accessed April 5, 2026, https://www.gutenberg.org.
Rada Mihalcea and Hakan Ceylan, “Explorations in Automatic Book Summarization,” paper presented at the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Prague, Czech Republic, June 2007, 380.
Robert A. Carter, “Why Does a Publisher Advertise?” Publishing Research Quarterly 14, no. 1 (1998): 54–55, https://doi.org/10.1007/s12109-998-0006-7.
Roswitha Skare, “Paratext,” Knowledge Organization 47, no. 6 (2020): 511, https://doi.org/10.5771/0943-7444-2020-6-511.
Seungpeel Lee et al., “What Books Will Be Your Bestseller? A Machine Learning Approach with Amazon Kindle,” The Electronic Library 39, no. 1 (2021): 137–51, https://doi.org/10.1108/EL-08-2020-0234.
Shannon Maughan, “AI and Audiobooks: Another Chapter,” Publishers Weekly, February 7, 2022, 6.
Simon Rowberry, The Early Development of Project Gutenberg c. 1970–2000, 1st ed. (Cambridge, UK: Cambridge University Press, 2023), 27, https://doi.org/10.1017/9781108785778.
Stella Wong et al., “Large Scale Audiobook Synthesis Using LLMs and Text-to-Speech,” draft conference paper submitted to Interspeech 2026, 4.
Todd Miller, “Weighing the Merits of AI for Information Access,” Computers in Libraries 44, no. 2 (2024): 14.
Vladimir Geroimenko, “Key Principles of Good Prompt Design,” in The Essential Guide to Prompt Engineering (Switzerland: Springer Nature, 2025), 17–36, https://doi.org/10.1007/978-3-031-86206-9_2.
Wafaa S. El-Kassas et al., “Automatic Text Summarization: A Comprehensive Survey,” Expert Systems with Applications 165 (March 2021): 4, https://doi.org/10.1016/j.eswa.2020.113679.
Weicheng Zhang et al., “Audiobook Synthesis with Long-Form Neural Text-to-Speech,” papers presented at the 12th ISCA Speech Synthesis Workshop, Grenoble, France, August 26, 2023, 139, https://doi.org/10.21437/SSW.2023-22.
Yurii Kryvenchuk and Oleksandr Duda, “Audio Book Creation System Using Artificial Intelligence,” paper presented at the 2024 IEEE 19th International Conference on Computer Science and Information Technologies, Lviv, Ukraine, October 16–19, 2024, 2, https://doi.org/10.1109/CSIT65290.2024.10982688.
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