UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2507468


Registration ID:
566488

Page Number

e488-e491

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Title

Artificial Intelligence in the Pre-Production Pipeline of 2D Animation: Enhancing Creativity and Efficiency

Abstract

The creative processes involved in 2D animation, especially during the pre-production phase, are critical for shaping ideas and laying the foundation for the final product. This stage involves tasks such as concept generation, scriptwriting, storyboarding, and character design, which traditionally require significant time and artistic effort. The integration of artificial intelligence (AI) into these workflows has opened new avenues for increasing efficiency and expanding creative possibilities. AI tools are now being utilized to support various aspects of pre-production by automating routine tasks and providing fresh ideas, thereby assisting artists in accelerating their work. This paper explores how AI contributes to time-saving and ideation during 2D animation pre-production, while emphasizing the essential role of human artists in reviewing, refining, and personalizing AI-generated content. Through an analysis of relevant tools and practical examples, the study evaluates AI’s impact on creative processes, its limitations, and its potential for collaboration in animation workflows.

Key Words

Pre-Production, Artificial Intelligence, 2d Animation, Concept development, Storyboard Development, Ai Tools.

Cite This Article

"Artificial Intelligence in the Pre-Production Pipeline of 2D Animation: Enhancing Creativity and Efficiency", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.e488-e491, July-2025, Available :http://www.jetir.org/papers/JETIR2507468.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Artificial Intelligence in the Pre-Production Pipeline of 2D Animation: Enhancing Creativity and Efficiency", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppe488-e491, July-2025, Available at : http://www.jetir.org/papers/JETIR2507468.pdf

Publication Details

Published Paper ID: JETIR2507468
Registration ID: 566488
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: e488-e491
Country: Ahmedabad, Gujarat, India .
Area: Arts
ISSN Number: 2349-5162
Publisher: IJ Publication


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