This research article focuses on the role of the computational methods in deciphering, prese- -rvation and access of Manuscripts in Bangla- -desh.The study tackles a contemporary heritage challenge, in which both Bengali and multilingual manuscripts are often fragile, dispersed, hard to read, and poorly linked into searchable digital environments. For the analysis of thirty peer-reviewed studies and academic articles, a structured literature-based research design was used in the following areas:Historical document analysis, Handwritt- -en text recognition, Optical character recognition, Document enhancement, Layout analysis, Bangla script recognition, Digital libraries and Digital humanities. The analysis reveals that the four interrelated barriers in the context of Bangladesh are: physical deterioration, complex script features, absence of line-level ground truth data and weak institutional coordination. The article suggests a framework of ‘innovation and digitization', connectingcollection survey, informed consent, safe imaging, reversible image enhancement, layout-aware OCR/HTR, human checking, metadata production and sustainable repository governance. The results indicate that global platforms like Transkribus, Kraken and Calamari and transformer-based OCR systems offer valuable technical frameworks but cannot be directly applied to manuscript materials from Bangladesh, unless adequate local training data and paleographic knowledge are available, and ethical access policies are established. The novelty of this article is the link between the computational document analysis and manuscript challenges in Bangladesh as well as providing a practical implementation framework for Universities, Archives, Libraries and community custodians. The article maintains that AI can be used as a "human in the loop" tool, and not a replacement for the human scholar's interpretation.