Data highlighter tool

Data Highlighter Tool analyzes code blocks, logs, and data exports to reveal patterns, anomalies, and structural cues. It supports JSON, CSV/TSV, YAML, and plain text inputs, applying rule-based highlighting with deterministic color mappings. The system outputs a colorized representation and a metadata map that traces rules to highlighted regions, enabling quick auditing and documentation. Conceptually, highlighting is driven by a set of built-in and user-defined rules that detect nulls, type mismatches, repetitive values, or misaligned schemas, all without requiring server-side ML. The tool is designed for developers, data engineers, QA analysts, and data scientists who review API responses, data pipelines, and large logs, providing immediate feedback to improve data quality and debugging speed. Core value lies in converting scattered data cues into actionable insights through consistent color semantics and exportable results. Use cases include validating ETL outputs, inspecting API payloads for field-level integrity, and documenting data structures for teams. Features include multi-format input, themeable color schemes, presets for common data patterns, and export options for HTML or JSON highlights to integrate with documentation or tooling pipelines.