TextIn xParse Document Parse
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About this skill
Problem
Document parsing often gets stuck on fragmented formats, page-level retrieval, repeated multi-file submissions, and unclear free/paid quota boundaries. Feeding files directly into generic scripts or models usually lacks stable doc_id, navigation cache, task state, and quota feedback, making results hard to reproduce.
How It Works
TextIn xParse Document Parse delegates the execution core to the installed xparse-cli; the skill only orchestrates calls and enforces constraints. Use parse for a single document or URL. Use the durable Task Runtime for multiple local files, persistent task_id, status checks, exports, or recovery. The default --api auto checks quota and prefers free allowance; use --api paid only after explicit user approval. For local documents, a complete parse writes the navigation cache, then use get_doc_info, get_outline, search_text, read_pages, and read_content for targeted extraction. On failure, inspect xparse_error.v1 and follow retryable plus next_action, allowing at most one retry for the same logical action.
Boundaries
This skill focuses on parsing, navigation, and batch task control, not downstream business processing. The free endpoint usually covers PDFs and images, while Office, HTML, OFD, and similar formats may require paid routing. Multi-document tasks should not be split into parallel parse calls to bypass quota. States such as waiting_paid_authorization or waiting_funds require external confirmation before task resume.
Use Cases
- Convert contract PDFs to Markdown, then use search_text to locate amounts, dates, and clauses.
- Submit local reports as one durable Task, keep the task_id, and export or resume later.
- Check free quota before Office or OFD parsing, then switch to paid routing only after approval.
- Build a navigation cache for long documents, then locate sections with get_outline and read_pages.
Best For
- Legal analysts or document engineers who need PDF contracts converted into searchable Markdown and clause lookup.
- Data operators who batch local Office or PDF files into durable tasks for later export, query, or recovery.
- Automation engineers who need to choose free or paid xParse routes without silently spending paid quota.
- RAG engineers who extract sections from long documents by outline, keywords, and page ranges.
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