Enables AI agents to open local PDFs and edit existing text, images, annotations and form fields in place using the document's own embedded fonts, baselines and colours, with undo/redo and page rendering for visual checks. It also exposes 67 whole-document tools such as merge, split, compress, OCR, redact, sign, compare, watermark and conversion to and from PDF, all running locally over stdio.
Gives AI assistants a full PDF toolkit — encrypting, decrypting, merging, splitting, reordering, rotating, optimizing, repairing, and converting PDFs through natural-language requests, with sandboxed file access and safe handling of damaged or password-protected files.
Enables comprehensive PDF analysis and manipulation including page size analysis, chapter extraction, splitting, compression, merging, and conversion to images. Provides both MCP server interface for AI assistants and Streamlit web interface for direct user interaction.
Enables AI apps to edit PDFs on the local machine through natural language, merging, splitting, extracting, rotating, deleting, reordering and duplicating pages, plus inspecting page counts and encryption status. All work runs locally with no uploads, and every operation writes a new file beside the untouched original.