Supermemory

Automatically captures web pages with full context, metadata, and formatting preserved without requiring manual annotation or formatting. Extracts article text, images, links, and source information in a single action.

Accepts and processes multiple document formats (PDFs, Word docs, images, text files) into a unified knowledge base without requiring format conversion. Automatically extracts text and metadata from each format.

Identifies and flags duplicate or near-duplicate content across the knowledge base to prevent redundancy. Helps maintain a clean, non-redundant knowledge base.

Exports portions of the knowledge base in various formats for sharing, citation, or use in other applications. Enables users to share curated information with others or integrate with external tools.

Tracks and displays information about the sources of saved content including domain authority, publication type, and author credentials. Helps users assess the reliability of their saved information.

Suggests new content or previously saved content that might be relevant based on user's interests and saved material. Learns from user behavior to improve recommendations over time.

Searches stored content by meaning and context rather than exact keyword matching. Uses AI to understand intent behind queries and surface relevant information even when exact terms don't match.

Retrieves not just matching documents but surrounding context and related information from the knowledge base. Provides comprehensive recall of information with connections to related content.

Automatically organizes and indexes all captured content from multiple sources into a single searchable repository. Eliminates manual folder creation and categorization through AI-powered organization.

Automatically generates summaries of captured content to provide quick overviews without reading full documents. Extracts key points and main ideas from articles, PDFs, and documents.

Automatically extracts and preserves metadata from captured content including author, publication date, source URL, and other contextual information. Maintains this metadata for future reference and filtering.

Connects and synthesizes information across multiple saved sources to identify patterns, contradictions, and relationships. Helps users see how different pieces of information relate to each other.

Automatically assigns relevant tags and categories to captured content based on AI analysis of the material. Enables filtering and organization without manual tagging effort.

Allows users to ask natural language questions about their saved knowledge base and receive AI-generated answers based on indexed content. Enables chat-like interaction with personal knowledge.