Transcrypt AI

  • Unique Paper ID: 173922
  • PageNo: 3577-3582
  • Abstract:
  • Transcrypt-AI is a web-based application that integrates encryption, decryption, translation, sentiment analysis, and AI-powered functionalities to enable secure and intelligent communication. The platform ensures data security through password-protected encryption and decryption mechanisms, allowing users to safeguard confidential information. Its translation feature facilitates seamless text conversion between multiple languages, enhancing global communication. Sentiment analysis provides insights into the tone and emotions of a given text, making it useful for businesses and individuals who need to assess content sentiment. Additionally, the text-to-speech functionality improves accessibility by converting textual content into audio, assisting users who prefer auditory information consumption. Designed with modern users in mind, Transcrypt-AI offers an intuitive and seamless interface, making it easy to operate across various devices with a web browser. Its integration of encryption and natural language processing ensures both privacy and efficiency in communication. By incorporating AI-powered capabilities, it enhances user experience while maintaining a high level of security. The system is ideal for professionals, students, and organizations requiring secure data transmission, language translation, and emotional text analysis. With its user-friendly interface, Transcrypt-AI allows anyone to perform encryption, decryption, translation, and sentiment analysis effortlessly.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{173922,
        author = {B .LAKSHMI DURGA SRI SAI SIVAMANI and L. RISHI VARDHAN and A .SHIVANI and J. HARSHITHA and CH .CHARAN SRIKANTH and MR KANETHARA NAGARJUNA},
        title = {Transcrypt AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3577-3582},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173922},
        abstract = {Transcrypt-AI is a web-based application that integrates encryption, decryption, translation, sentiment analysis, and AI-powered functionalities to enable secure and intelligent communication. The platform ensures data security through password-protected encryption and decryption mechanisms, allowing users to safeguard confidential information. Its translation feature facilitates seamless text conversion between multiple languages, enhancing global communication. Sentiment analysis provides insights into the tone and emotions of a given text, making it useful for businesses and individuals who need to assess content sentiment. Additionally, the text-to-speech functionality improves accessibility by converting textual content into audio, assisting users who prefer auditory information consumption. Designed with modern users in mind, Transcrypt-AI offers an intuitive and seamless interface, making it easy to operate across various devices with a web browser. Its integration of encryption and natural language processing ensures both privacy and efficiency in communication. By incorporating AI-powered capabilities, it enhances user experience while maintaining a high level of security. The system is ideal for professionals, students, and organizations requiring secure data transmission, language translation, and emotional text analysis. With its user-friendly interface, Transcrypt-AI allows anyone to perform encryption, decryption, translation, and sentiment analysis effortlessly.},
        keywords = {Transcrypt-AI, Web-based application, Encryption, Decryption, Translation, Sentiment analysis, AI-powered functionalities, Secure communication, Text conversion.},
        month = {March},
        }

Cite This Article

SIVAMANI, B. .. D. S. S., & VARDHAN, L. R., & .SHIVANI, A., & HARSHITHA, J., & SRIKANTH, C. .., & NAGARJUNA, M. K. (2025). Transcrypt AI. International Journal of Innovative Research in Technology (IJIRT), 11(10), 3577–3582.

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