I want to reduce inconsistencies in how document text is extracted across different file types.

This feature standardizes how text is extracted from different document formats so results are more consistent and predictable. It reduces variation in layout handling and character output, improving downstream search, review, and automation workflows.

This feature focuses on making extracted text more consistent across common document types (such as PDFs, Word documents, and plain text files). It provides a unified extraction approach that aims to minimize differences in spacing, line breaks, ordering, and character encoding that often vary by file format. By normalizing extraction output, teams can reduce rework caused by format-specific quirks and improve the reliability of processes that depend on extracted text. The feature is designed for scenarios where documents of mixed types must be processed in the same pipeline and compared or analyzed consistently. It supports more stable indexing for search and retrieval, as well as more dependable rule-based parsing and automated classification. Users benefit from fewer unexpected formatting artifacts that can break templates, pattern matching, or validation checks. It also helps improve consistency when users copy, export, or review extracted text across file sources. The overall result is a cleaner, more uniform textual representation that is easier to consume by humans and systems. This is especially valuable in compliance, legal review, customer support, and data operations where mixed-format document sets are common.