Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)

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Vision-to-Voice: Transforming Comics into Immersive Audiobooks with BLIP and OCR

Authors
Paron Asib1, V. Harish Rosan1, V. Ram Prashanth1, R. P. Saurjyesh Karthikeyan1, T. Anusha1, *
1Department of Computer Science and Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Vadapalani Campus, No. 1, Jawaharlal Nehru Road, Vadapalani, Chennai, Tamil Nadu, India
*Corresponding author. Email: anushat@srmist.edu.in
Corresponding Author
T. Anusha
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-866-0_24How to use a DOI?
Keywords
Bootstrapped Language-Image Pretraining (BLIP); Feature Extraction; Optical Character Recognition (OCR); Text-To-Speech (TTS); Natural Language Processing (NLP); Google Text-to-Speech (gTTS)
Abstract

The Vision-to-Voice system transforms the comic books stories into engaging audiobooks. The system uses Bootstrapped Language-Image Pretraining (BLIP) for feature extraction and Optical Character Recognition (OCR) for text extraction. Major visual aspects and text in comic panels are detected and translated into English text then natural speech through Google Text-to-Speech (TTS). Trained on big data such as MS COCO and tested with BLEU, METEOR, and CIDEr, the model guarantees good-quality captions and scene narration. The method facilitates accessibility, where the user can access comics during travel, under low-light settings, or in the absence of visual fatigue. Importantly, it enables the visually impaired to enjoy comic narration by opening up an auditory doorway to comic narration, closing the visual-verbal narrative gap. By transforming printed comics into immersive audio experiences, this system promotes digital accessibility in education and entertainment, laying the groundwork for future multimedia access breakthroughs and advancing the appreciation of visual narratives.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 October 2025
ISBN
978-94-6463-866-0
ISSN
2589-4919
DOI
10.2991/978-94-6463-866-0_24How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Paron Asib
AU  -  V. Harish Rosan
AU  - V. Ram Prashanth
AU  - R. P. Saurjyesh  Karthikeyan
AU  - T. Anusha
PY  - 2025
DA  - 2025/10/31
TI  - Vision-to-Voice: Transforming Comics into Immersive Audiobooks with BLIP and OCR
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 273
EP  - 285
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_24
DO  - 10.2991/978-94-6463-866-0_24
ID  - Asib2025
ER  -