MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202621061063 A) filed by Sage University on May 14, 2026, for System And Method For Detecting Similarity Patterns In Digital Documents Using A Multi-Layer Analytical Framework.
Inventors include Dr Prashant Jain; Dr. Sumit Jain; Dr. Abhay Kothari; Prof. Lokendra Vishwakarma; and Shivani Gupta.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: SYSTEM AND METHOD FOR DETECTING SIMILARITY PATTERNS IN DIGITAL DOCUMENTS USING A MULTI-LAYER ANALYTICAL FRAMEWORK [0040] The present invention discloses a system (100) and method (200) for detecting similarity patterns in digital documents using a multi-layer analytical framework. The system (100) comprises a document input module (102) configured to receive digital documents and convert them into a machine-readable representation, and a text pre-processing module (104) configured to generate normalized textual data. The system further includes a semantic analysis layer (106), a structural pattern analysis layer (108), and a writing style analysis layer (110) configured to generate semantic similarity data, structural similarity data, and stylistic variation data, respectively. A data integration engine (114) combines the generated data to produce composite similarity data. A decision and reporting module (112) processes the composite similarity data to generate a structured output indicating type, location, and severity of detected similarity patterns. The invention enables detection of paraphrased, structurally similar, and multi- source content in digital documents. Representative
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