ADOBE had 99 patents in digitalization during Q4 2023. ADOBE Inc’s patents filed in Q4 2023 cover a range of technologies including document generation, user representation modeling, image search and modification, font recommendation, and text processing. These patents involve systems and methods for generating documents with different style elements, creating user representations with reduced storage requirements, modifying images based on search results, recommending fonts automatically, and processing natural language queries to identify relevant documents. GlobalData’s report on ADOBE gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

ADOBE grant share with digitalization as a theme is 60% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Systems and methods for document generation (Patent ID: US20230418881A1)

The patent filed by ADOBE Inc. describes systems and methods for document generation that involve identifying document fragments with specific style elements, computing reward functions based on correlations between different style elements, selecting and generating modified document fragments. The method includes utilizing a style extractor, style generator, and document generator to achieve this process efficiently.

The claims in the patent outline various aspects of the method, including identifying document fragments based on a document object model hierarchy, extracting style elements from historical document fragments, clustering style elements, performing Monte Carlo tree searches, generating graphs, recommending styles based on context features, matching content elements, and including default content. The apparatus described includes components such as a style extractor, style generator, style recommender, document generator, and document decoder to facilitate the document generation process effectively. Overall, the patent focuses on a comprehensive approach to generating documents with specific style elements based on historical correlations and user preferences.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.