A voice text dynamic highlighting and intelligent positioning component based on reactnative

By preprocessing and pre-computing text data in React Native, combined with a binary search algorithm and interactive control, the efficiency and interactivity issues of synchronized voice and text display are solved, achieving efficient and smooth synchronized voice and text display. It is suitable for cross-platform voice and text dynamic highlighting and intelligent positioning components.

CN120653322BActive Publication Date: 2026-04-10XUNTU TECH (SHANGHAI) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XUNTU TECH (SHANGHAI) CO LTD
Filing Date
2025-05-29
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

Existing React Native solutions suffer from issues such as low real-time layout calculation efficiency, page lag, visual interference caused by fragmented text rendering, and coordinate system conflicts in synchronous voice and text display, especially on low-end devices.

Method used

The data preprocessing module groups and merges fragmented text by paragraph ID, pre-calculates the mapping index between text and audio time, uses a binary search algorithm for fast location, and switches between automatic and manual scrolling modes in the interactive control module, combined with exception handling and cross-platform adaptation optimization.

Benefits of technology

It significantly improves the scrolling positioning efficiency of low-end devices, reduces visual fatigue, enhances ease of operation and cross-platform compatibility, and optimizes the performance and interactive experience of synchronized voice and text display.

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Abstract

The application is suitable for the field of mobile application development, and provides a voice text dynamic highlighting and intelligent positioning component based on ReactNative, which establishes a timestamp-position mapping index through initialization layout precalculation, integrates fragmented content by combining a semantic-driven text merging algorithm, and constructs a three-state interaction control model to realize state switching of automatic following and manual browsing. The component solves the problems of low real-time calculation performance, visual interference of fragmented display and interaction logic conflict in the prior art, is suitable for cross-platform mobile applications such as online education and voice notes, and improves positioning efficiency, reading experience and operation convenience and reduces the development cost of multiple terminals through precalculation optimization, intelligent merging and intelligent interaction.
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Citation Information

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