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Paperboy

Official
by sudostash

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      Enables AI assistants to perform PDF operations like merge, split, compress, convert, encrypt, OCR, and summarize using natural language.
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      Enables AI assistants to edit text inside real PDF files in place while preserving fonts and layout, with a before/after preview. Also supports compressing, merging, splitting, converting, translating, generating and querying PDFs through a hosted remote MCP endpoint.
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      Enables AI agents to perform local-first PDF processing entirely on-device, including OCR write-back to make scans searchable, unlocking and re-encrypting PDFs, splitting/merging/rotating pages, and compressing files, with no cloud calls or file uploads.
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    • F
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      3
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    • A
      license
      B
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      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

    TDQS

    B3.2/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools target a distinct operation (encrypt vs decrypt, merge vs split, rotate vs rearrange), so boundaries are usually clear. Minor overlaps exist: pdf_info already reports metadata that get_metadata reads, and convert_to_pdf can create a PDF from an image, which images_to_pdf also does.

    Naming Consistency4/5

    Nearly all names use a consistent snake_case verb_noun pattern (extract_text, merge_pdfs, rotate_pages, set_metadata). The lone deviation is pdf_info, which puts the noun first, but it stays readable and in the same casing convention.

    Tool Count4/5

    18 tools is on the heavier side but each covers a genuinely distinct PDF task (metadata, security, page ops, merge/split, optimize, repair, flatten, conversion). No tool feels redundant enough to remove, so the count is justified by the breadth of the domain.

    Completeness4/5

    The surface covers the full lifecycle well: inspect, validate, read/write metadata, encrypt/decrypt, page manipulation, merge/split, optimize, repair, flatten, and conversion. Only niche operations like image extraction or watermarking are absent, which agents can work around.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues