Textin Document Parser for Openclaw

A powerful document AI skill that parses complex PDFs, images, and Office files into structured Markdown and JSON data.

kingjus
v1.0.0
Mar 23, 2026
2
943
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install textin-parse

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install textin-parse using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Textin Document Parser?

Textin Parse is a sophisticated document processing integration designed for Openclaw Skills. It leverages the Textin API to perform deep layout analysis, optical character recognition (OCR), and table extraction across a wide variety of file formats. Whether you are dealing with scanned images or digital PDFs, this skill converts messy documents into clean, structured Markdown ready for AI consumption.

By integrating Textin Parse into your workflow, you gain the ability to extract formulas, hierarchical document trees, and even remove watermarks automatically. It is an essential tool for developers and researchers who need to turn static documents into actionable, machine-readable data with high precision.

Textin Document Parser Use Cases

  • Converting scanned PDF invoices or reports into structured Markdown for LLM analysis.
  • Extracting complex tables from Excel or PDF files into clean HTML or Markdown formats.
  • Automating the extraction of table of contents and document hierarchies from long technical manuals.
  • Identifying and digitizing mathematical formulas from academic papers or handwritten notes.
  • Rapidly digitizing image-based text from formats like PNG, JPG, and WebP for searchable archives.

How Textin Document Parser Works

  1. The user provides a document or image file and triggers a request for parsing or conversion.
  2. The skill authenticates with the Textin API using the stored x-ti-app-id and x-ti-secret-code.
  3. The file is uploaded to the Textin engine where layout detection and OCR take place based on specified parameters (like parse_mode).
  4. The engine processes structural elements including tables, formulas, and headers.
  5. The skill receives the structured response and delivers the Markdown content or metadata back to the user environment.

Textin Document Parser Setup

To get started with Textin Parse, you must first obtain your API credentials from the official Textin platform.

  1. Register at Textin.
  2. Navigate to the Developer and Account Information page to find your x-ti-app-id and x-ti-secret-code.
  3. Configure the Openclaw Skills environment by providing these credentials when prompted:
# Example of how the agent might prompt for configuration
set_config textin_app_id "your_app_id_here"
set_config textin_secret_code "your_secret_code_here"

Textin Document Parser Data Schema & Taxonomy

The skill supports a wide array of formats and returns structured data as detailed below:

Feature Supported Specifications
Images png, jpg, jpeg, bmp, tiff, webp
Documents pdf, doc, docx, html, xls, xlsx, csv, ppt, pptx, txt, ofd, rtf
Max Size 500MB
Output Markdown (Default), HTML tables, Structured JSON, Excel
Metadata Document tree (hierarchy), page details, and object coordinates

Textin Document Parser Advanced Features

  • Support for multiple parse modes including 'vlm' (Vision Language Model) and 'scan' for high-fidelity image processing.
  • Intelligent watermark removal to clean up documents before OCR.
  • Configurable table flavors allowing output in either native Markdown or complex HTML syntax.
  • Formula recognition levels to specifically target or exclude inline and display math.
  • Partial document parsing using page_start and page_count to save API credits on large files.

SKILL.md


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