Viewer TXT

Viewer TXT analyzes plain text to produce objective metrics that guide editing and content optimization. It ingests text input, performs tokenization and language detection, and returns counts for words, characters, and sentences alongside estimated reading time. It also computes readability scores and highlights key lexical signals such as top keywords and character frequencies. The tool is designed for both human review and machine consumption, offering a stable JSON output suitable for pipelines and AI prompts. By decoupling measurement from rewriting, it helps editors identify areas for improvement without altering the original text. The approach emphasizes determinism, speed, and locality, ensuring privacy and rapid feedback during drafting. The resulting data supports quality control, SEO audits, and research note-taking, enabling data-driven decision making throughout the content lifecycle.