Enum TextShrinkingStrategy

Defines the strategies available for shrinking text content.

public enum TextShrinkingStrategy

Fields

Auto = 0: Automatically selects the most appropriate shrinking method based on the engine's internal logic. This ensures optimal performance and effectiveness without manual intervention.
RemoveWords = 1: Utilizes sophisticated algorithms to remove less important words from the text. Words are not removed sequentially; instead, the algorithm diffuses introduced errors across the text, preventing them from clustering in the same block and maintaining the text's overall integrity.
RemoveLines = 2: Removes entire lines from the text at random positions. This strategy is useful for reducing content while maintaining structural integrity.
SummarizeText = 3: Generates a summarized version of the text, preserving key information and overall meaning. This method leverages summarization algorithms to maintain content relevance.
TrimTop = 4: Trims content from the beginning (top) of the text. Useful for removing introductory sections or irrelevant starting information.
TrimBottom = 5: Trims content from the end (bottom) of the text. Ideal for eliminating concluding remarks or extraneous final sections.