Privacy-Preserving Preprocessing Toolkit for LLM Inputs
An open-source toolkit that helps you preprocess sensitive data (prompts, PDFs, DOCX, XLSX...) before sending to ChatGPT, Gemini, or any LLM system. Currently in pre-launch development.
Automatically identify and blackout sensitive information like personal identifiers and health data.
Manual editing interface allows you to review and modify before continuing the pipeline.
Process text, PDF, Word documents, and spreadsheets with unified preprocessing.
Role-based access control, SSO integration, and advanced audit logging for enterprise deployments.
RESTful APIs, Python/JavaScript SDKs, and webhook support for seamless integration.
Kubernetes deployment, auto-scaling, and distributed processing for enterprise scale.
Choose your preferred way to try SecurePrep - desktop app or from source
Help us build a safer, privacy-first AI ecosystem