A high-precision document parsing engine that transforms images and PDF documents into structured Markdown for better AI model comprehension.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install camscanner-any2markdown-office
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install camscanner-any2markdown-office 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 CamScanner Any to Markdown?
CamScanner Any to Markdown is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between static documents and LLM-ready text. It uses a high-precision document parsing engine to intelligently decompose paragraphs, recognize complex tables, and preserve the reading order of multi-element files. This ensures that large language models can accurately interpret the context and data within images or PDF files.
The skill operates by communicating with CamScanner official servers to process files in real-time. By automating the extraction of structured Markdown from unstructured formats like scans or digital PDFs, it significantly improves data ingestion workflows for AI agents, making it an essential part of the Openclaw Skills toolkit.
CamScanner Any to Markdown Use Cases
- Extracting structured tables and paragraphs from scanned documents for data analysis.
- Converting image-based manuals or whitepapers into Markdown format for RAG systems.
- Streamlining the ingestion of mixed-format document libraries into LLM knowledge bases.
- Automating the conversion of PDF documents to clean text when the input format is mixed or unspecified.
How CamScanner Any to Markdown Works
- Detects the file format of the input document (PDF vs Image) to select the correct processing endpoint.
- Uploads the binary file to the CamScanner high-precision parsing engine via a POST request.
- Initiates a conversion request specifying Markdown as the target output format and identifying the source as either pdf or image.
- Monitors the process to retrieve a unique file identifier for the generated Markdown content.
- Downloads the final structured result using a raw response mode to save the binary Markdown file to the local filesystem.
CamScanner Any to Markdown Setup
To use this tool within the Openclaw Skills framework, ensure your environment has the necessary binaries installed for handling API requests and processing JSON.
# Install dependencies
# On macOS using Homebrew
brew install curl jq
# On Ubuntu/Debian
sudo apt-get update
sudo apt-get install curl jq
Ensure the AI agent has network access to ai-tools.camscanner.com to communicate with the conversion endpoints.
CamScanner Any to Markdown Data Schema & Taxonomy
The skill manages data through a three-stage lifecycle, using unique file identifiers for tracking and local storage for results.
| Component | Details |
|---|---|
| Supported Inputs | .pdf, .png, .jpg, .jpeg, .bmp, .tiff, .webp |
| Metadata | Includes file_id, file size, and target_type (md) |
| Logic Branching | Uses convert_pdf for PDF files and convert_image for all image types |
| Output Mode | file_id mode for asynchronous download capability |
| Response Type | raw mode for direct binary file writing |
| Local Storage | Files are saved to the path specified by the user or agent |
CamScanner Any to Markdown Advanced Features
- Automatic format detection logic for handling mixed document sets seamlessly.
- High-precision table recognition to maintain data integrity during conversion from complex PDF documents.
- Intelligent paragraph decomposition to ensure logical reading order for improved LLM ingestion.
- Binary response handling using raw mode parameters for direct local file synchronization.
- Error-aware pipeline that validates upload and conversion IDs before proceeding to the next step.
SKILL.md
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