Extract text TOC structure
Generate a hierarchy tree and structured JSON from pasted text.
Online trial
Paste a table-of-contents text to extract structure, detect current style, validate structural problems, and auto-correct numbering issues in milliseconds.
This trial analyzes text TOC structure; PDF / Word processing can be connected through the backend API.
Strictly based on the input text. No invented headings.
Style
Numeric numbered TOC
Rules
Language + number + indent
Hallucination
No new titles
The workflow focuses on TOC structure itself, making it useful before and after LLM calls.
Generate a hierarchy tree and structured JSON from pasted text.
Recognize numeric, chapter-token, indentation, and mixed TOC styles.
Detect skipped numbering, missing levels, duplicates, and discontinuity.
Repair numbering and hierarchy while keeping titles source-bound.
Activate membership to use the API. Each 1,000 CNY level includes 100,000 API calls.