PrivacyDoc for Web

What PrivacyDoc does

PrivacyDoc is a web-based tool that simplifies extracting and querying information from PDFs and ebooks. It combines modern generative AI and natural language processing to automate understanding of text-heavy materials — from scholarly articles to user manuals and internal training documents. The interface supports uploading multiple documents and then asking natural-language questions to get precise answers and concise summaries.

Supported file formats

• json
• csv
• txt
• PDF and common ebook formats

Core AI features

• Context-aware summaries and accurate answers to user queries
• Automated data extraction and structured output from unstructured text
• Multi-document processing so you can query across several files at once
• Natural language search and conversational querying of document content

Security and data handling

PrivacyDoc is built to keep user content confidential. Uploaded files are processed without persistent storage, and session data is removed once your session ends. This ephemeral handling minimizes retention of sensitive information and reduces exposure risks.

Who should consider using it

• Researchers needing quick overviews of multiple papers
• Professionals extracting technical details from manuals and guides
• Teams who want a secure, AI-driven way to search and summarize internal documents

Alternatives worth evaluating

• Screend (paid) — a commercial option with similar document-analysis capabilities
• DocuSense (trial available) — an alternative that focuses on enterprise workflows and integrations