doc2md
Related Servers
Alternatives to doc2md
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceConverts documents (PDF, DOCX, XLSX, EPUB, etc.) to clean, structured Markdown, and retrieves document info, for use with AI agents.MIT
- FlicenseNot gradedqualityBmaintenanceConvert PDFs, Word documents, Excel/CSV files, and YouTube videos into clean, structured Markdown for AI agents, LLMs, and knowledge tools.-
- AlicenseAqualityCmaintenanceConverts PDF, DOCX, PPTX, XLSX, CSV, and JSON into clean, compact, AI-ready Markdown, reducing tokens up to 65%.128 npmMIT
- AlicenseAqualityBmaintenanceEnables AI agents and MCP-capable platforms to convert documents such as docx, pptx, xlsx, pdf, odt, rtf, epub, and csv into clean GitHub-Flavored Markdown through a single tool call. Runs fully locally with no API key, no network access, and no OCR, returning structured errors for scanned, encrypted, or unsupported files.17 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to inspect and convert PDF, PowerPoint, Excel, and many other file formats into clean, structured Markdown, with chunking support for long documents.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceConverts PDFs, Office files, spreadsheets, emails, audio, and more to Markdown locally, enabling AI assistants to read and process them without cloud upload.MIT
TDQS
Scored across 10 tools
Each tool targets a distinct operation: merging, converting, table extraction, page reading, info retrieval, search, OCR, splitting, and image extraction. Even the two conversion tools are clearly differentiated by scope (PDF-specific vs. universal document conversion).
Most tools follow a clear verb-first pattern (merge, convert, extract, read, get, search, split). Minor inconsistency exists between 'ocr_document' (acronym as verb) and the inconsistent use of 'pdf' vs 'document' in object names, but the pattern remains predictable.
Ten tools is well-scoped for a document conversion server, covering all major workflow stages without redundancy or bloat. Each tool has a clear purpose and none feel superfluous.
The tool set covers the full document handling lifecycle: inspection, conversion, OCR, search, table/image extraction, splitting, and merging. There are no obvious missing operations for the stated doc2md purpose.