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Alternatives to doc2md

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Converts documents (PDF, DOCX, XLSX, EPUB, etc.) to clean, structured Markdown, and retrieves document info, for use with AI agents.
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Convert PDFs, Word documents, Excel/CSV files, and YouTube videos into clean, structured Markdown for AI agents, LLMs, and knowledge tools.
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables 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.
      1
      7 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables 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
    • A
      license
      Not graded
      quality
      C
      maintenance
      Converts PDFs, Office files, spreadsheets, emails, audio, and more to Markdown locally, enabling AI assistants to read and process them without cloud upload.
      MIT

    TDQS

    A4.4/5.0

    Scored across 10 tools

    Disambiguation5/5

    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).

    Naming Consistency4/5

    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.

    Tool Count5/5

    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.

    Completeness5/5

    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.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues