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Ainonymize

Ainonymize

by Leineder

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Alternatives to Ainonymize

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables users to locally and reversibly pseudonymise client files for Claude, ChatGPT, and Copilot by replacing names and identifiers with codes before sending text to the AI and restoring the real values on the user's computer.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables Claude Desktop to redact and count personal data in PDFs and images, strip hidden metadata from photos, anonymize Word and text files, prepare watermarked ID copies, and compare contract versions using only user-approved local folders. All processing runs offline on the user's computer, creating new copies instead of modifying or deleting the originals.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables irreversible anonymisation of documents and spreadsheets (PDF, Word, PowerPoint, HTML, Excel, CSV) into consistent pseudonymised Markdown before they reach an AI, keeping names, national IDs, bank details and contact data unrecoverable. Runs as a free online HTTP endpoint needing no key, or locally with the full engine bundled so nothing leaves the machine.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables Claude to read, search, organize, and draft email in an Outlook/Microsoft 365 mailbox via Microsoft Graph, while pseudonymizing personal data (names, emails, phone numbers, national ID numbers, IBANs, addresses) into reversible tokens before anything reaches the model. Supports folder listing, message search, flagging, categorizing, moving, and draft creation/editing, but cannot send mail since it only requests Mail.ReadWrite and User.Read permissions.
      12
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude to write in your personal style by learning from your local documents. It provides statistical style context for natural language rewriting, all without any data leaving your machine.
      4
      MIT