Web-based PDF Document Display Research and Implementation

Authors

  • Yu Qian
  • Yanping Li

DOI:

https://doi.org/10.54691/r3n8m337

Keywords:

PDF Documents; PDF.JS; Web Development.

Abstract

With the rapid development of the Internet era, there is an increasing demand for file uploading, previewing, downloading and printing, and the traditional methods can no longer meet the modern and efficient work pace. Therefore, this research focuses on achieving fast and efficient adaptive slicing upload, preview clarity optimization and annotation functions for PDF files. The basic concept of pdf.js is introduced, and the parameters of pdf.js and solutions to some problems are described, providing a high degree of flexibility and customizability. The introduction of pdf.js integration methods, including how to integrate pdf.js into existing Web applications through simple steps, shows how to use its rich API interface to achieve the function of interaction with PDF documents. Provides the direction of thinking about the late optimization of pdf.js has been the implementation of the annotation function; through the function, users can directly in the PDF document to do the marking, editing and other operations, which greatly enhances the user's experience. In summary, pdf.js, with its powerful features, flexible parameter selection, and convenient integration, has undoubtedly become the preferred option for the front-end display of PDF documents.

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References

[1] Gong, Danni. Design and Implementation of SuperPDF Plugin [D]. Beijing Jiaotong University, 2023.

[2] Liu, Zhexin. Research on Web-based PDF Document Display Solutions [J]. Modern Information Technology, 2023, 7(20): 18–21.

[3] Zhang, Pengfei; Wang, Qian; Hu, Xiaodong, et al. Implementation of Front-End and Back-End Separation Based on Node.js and JS [J]. Computer Engineering & Software, 2019, 40(04): 11–17.

[4] Zhao, Liang; Zhang, Delin; Tong, Qiang, et al. An Efficient Digitization Method for Scientific Project Archives [J]. Xinjiang Farm Research of Science and Technology, 2022, 45(03): 44–47.

[5] Li, Zhen; Tian, Xuedong. Extraction and Analysis of PDF File Information [J]. Journal of Computer Applications, 2003, (12): 145–147.

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Published

2025-07-21

Issue

Section

Articles

How to Cite

Qian, Yu, and Yanping Li. 2025. “Web-Based PDF Document Display Research and Implementation”. Scientific Journal of Intelligent Systems Research 7 (7): 28-37. https://doi.org/10.54691/r3n8m337.