Phantom Documents is an open-source Python package for local-first document anonymization. It uses local LLMs through Ollama to detect and redact personally identifiable information while keeping all processing on the user's device. Ideal for developers and privacy-conscious users handling sensitive documents.
In the Developer Tools space, phantom-documents takes a focused approach. It focuses on anonymizing sensitive documents locally without sending data to cloud services using local LLMs. It is built as an open-source project for developers. The project is open source (MIT). phantom-documents is available on the command line, and it can be self-hosted.
Behind phantom-documents is estebanpdl, and it first shipped in 2026. Development happens publicly on GitHub with 25 commits in the last 90 days. Key capabilities include Document Anonymization, PII Redaction, and Local LLM Processing.
Summary written by a language model from the project’s public pages.
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