Deepmark is an AI-powered content search and bookmarking tool that allows users to search their saved items by actual content rather than relying on titles. It unifies content from browser bookmarks, X (formerly Twitter) bookmarks, Instagram saves, and YouTube Watch Later into a single, private library.
Instead of relying on simple keyword matches, Deepmark reads every page, transcribes video and reel audio, describes frames, and performs OCR (optical character recognition) on images. It then embeds all collected information into a searchable vector index, enabling users to find specific saves using natural, plain-language queries.
Key Capabilities & Performance:
Deepmark integrates browser bookmarks (including via a Chrome extension), X bookmarks, Instagram saves, and YouTube Watch Later into one unified library.
Deepmark reads web pages, transcribes audio from videos and reels, performs optical character recognition (OCR) on frames, generates image descriptions, and embeds the output to make visual and spoken details searchable in plain language.
A newly saved item is processed and ready to be searched in about 90 seconds.
Deepmark delivers search results in under 100 milliseconds, even across libraries containing more than 10,000 items.
Yes, Deepmark acts as a hosted MCP (Model Context Protocol) server, enabling compatible AI agents to search your saved content.
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