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Original Article

A Hybrid Text-Extraction and Transformer-Based Classification Pipeline with Asynchronous Fast API Serving for Academic Document Management

Open Access Peer Reviewed Crossref DOI

Authors

  • Shivani Dnyaneshwar Achari1
  • Dr. S. P. Abhang2

1 2 Department of Computer Science and Engineering, CSMSS Chh. Shahu College of Engineering, Maharashtra, India.

Article Information

Published Online
September-December 2026
Pages
835-840
Article Type
Original Article
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References

1. J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: pre-training of deep bidirectional transformers for language understanding,” in Proc. NAACL-HLT, 2019, pp. 4171–4186.
2. V. Sanh, L. Debut, J. Chaumond, and T. Wolf, “DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter,” arXiv:1910.01108, 2019.
3. Y. Liu, M. Ott, N. Goyal, et al., “RoBERTa: a robustly optimized BERT pretraining approach,” arXiv:1907.11692, 2019.4. R. Smith, “An overview of the Tesseract OCR engine,” in Proc. 9th Int. Conf. Document Analysis and Recognition (ICDAR), vol. 2, 2007, pp. 629–633.
5. R. Kasturi, V. Govindaraju, J. Hu, M. Cheriet, et al., “Document image analysis: a primer,” Sādhanā, vol. 27, no. 1, pp. 3–22, 2002.
6. T. Hegghammer, “OCR with Tesseract, Amazon Textract, and Google Document AI: a benchmarking experiment,” J. Computational Social Science, vol. 5, pp. 861–882, 2022.
7. C. Irimia, F. Harbuzariu, I. Hazi, and A. Iftene, “Official document identification and data extraction using templates and OCR,” Procedia Computer Science, vol. 207, pp. 1571–1580, 2022.
8. K. Thirunavukkarasu and H. Shankar, “A computer vision powered OCR framework for extracting tabular data from scanned PDFs,” Int. J. Research Trends and Innovation, vol. 10, no. 4, pp. d126–d130, 2025.
9. T. Wolf et al., “Transformers: state-of-the-art natural language processing,” in Proc. EMNLP: System Demonstrations, 2020, pp. 38–45.
10. S. Ramírez, “FastAPI framework documentation,” 2023. [Online]. Available: https://fastapi.tiangolo.com
11. “PyMuPDF documentation,” Artifex Software. [Online]. Available: https://pymupdf.readthedocs.io
12. “Apache Tika documentation,” The Apache Software Foundation. [Online]. Available: https://tika.apache.org
13. G. Bradski, “The OpenCV library,” Dr. Dobb’s Journal of Software Tools, 2000.
14. M. Jones, J. Bradley, and N. Sakimura, “JSON Web Token (JWT),” RFC 7519, IETF, 2015.
15. N. Provos and D. Mazières, “A future-adaptable password scheme,” in Proc. USENIX Annual Technical Conf., 1999, pp. 81–91.
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