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Alternatives to LaserPDF

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    Related Servers

    • F
      license
      B
      quality
      A
      maintenance
      Enables local, offline document extraction and manipulation—PDF first but also HTML, DOCX, XLSX, PPTX, EML, EPUB, Markdown, and plain text—through tools for probing, locating, extracting, converting, assembling, OCR, protecting, and redacting documents, with nothing leaving the machine.
      7
      -
    • A
      license
      A
      quality
      B
      maintenance
      A local-first PDF tool for merging, splitting, rotating, watermarking, Bates-numbering, cleaning metadata, and counting pages — all operations happen on your machine with no network transmission.
      15
      46 npm
      1
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Lets AI assistants read, search, edit, annotate, sign, redact and OCR PDF files entirely on the local machine, with no uploads and non-destructive writes to new files. It also merges, splits and reorganises pages, fills forms, compares versions to detect tampering, and converts documents between PDF, Word, Excel, images and text, including turning bank statements into spreadsheet rows.
      22
      AGPL 3.0
    • A
      license
      A
      quality
      A
      maintenance
      Local MCP server for PDFs: read PDFs into Markdown with tables, charts and OCR, export to Word, PowerPoint, EPUB and Excel, and merge, split, fill, compare and edit PDFs. Works only inside the folders you allow; nothing is uploaded.
      30
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables PDF file manipulation including merging, splitting, extracting pages, extracting text, excluding pages, and reordering pages.
      25 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables inspecting local PDFs and extracting tables into CSV, XLSX, or JSON with options for pages, merging, OCR, engine selection, headers, merged cells, regions, and columns.
      MIT

    TDQS

    A4.5/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool targets a distinct operation, and descriptions explicitly disambiguate near-neighbors (extract_pages vs split_pdf, add_page_numbers vs add_watermark, redact_pdf vs remove_metadata). Cross-references like 'to find a word use search_pdf' actively steer selection, leaving virtually no overlap.

    Naming Consistency4/5

    All names use snake_case and are predominantly verb-first (extract_text, rotate_pages, add_watermark, compress_pdf). A couple deviate from the verb_noun shape (pdf_to_images, get_pdf_info), but the pattern stays predictable and readable.

    Tool Count5/5

    Fifteen tools is well within the ideal range and each maps to a genuine, non-redundant PDF operation (read, OCR, redact, transform, convert). Nothing feels padded or thin for a document toolkit.

    Completeness4/5

    The surface covers the full common lifecycle: inspect, read, search, OCR, redact, scrub metadata, merge, split, extract, rotate, export tables, watermark, number, compress, and rasterize. Notable gaps are password/encryption handling (tools fail on encrypted PDFs rather than setting or removing passwords) and form filling, but core workflows are complete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues