Webhound automatically finds, extracts, summarizes and organizes text, images, and data from webpages into searchable, exportable datasets and notes with source citations.
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Webhound is a web research assistant that extracts, summarizes, and organizes information from web pages to support faster research, content creation, and decision-making. The app captures text, images, and structured data from URLs, organizes findings into searchable notes and collections, and generates concise summaries and citations to help users review web content without re‑reading full pages.
Key features and capabilities:
Web capture: Save full webpages, article excerpts, and selected page elements for offline review and long‑term organization.
Automated summarization: Produce short, coherent summaries and key insights from captured content to reduce time spent on source material.
Structured organization: Create searchable notes, tags, and collections so research materials are easy to locate and reuse.
Source context and citation: Retain original page context and source references to support verification and attribution of captured information.
Multi‑format support: Preserve text, images, and common embedded media to maintain fidelity of captured content.
Collaboration and sharing: Share collections or notes with team members to streamline group research and content workflows.
Workflow integration: Export or sync notes with common productivity tools and formats to incorporate research into writing, reporting, or analysis pipelines.
Benefits and use cases:
Research efficiency: Helps researchers, journalists, students, and content creators reduce time spent locating and synthesizing web sources.
Content creation: Provides concise source summaries and organized clippings that speed drafting, fact‑checking, and idea development.
Competitive intelligence: Enables collection and comparison of industry, product, or competitor information from multiple web sources.
Knowledge management: Converts scattered web content into an organized personal or team knowledge base for future reference.
SEO‑oriented keywords naturally incorporated: web research assistant, web capture, webpage summarization, save webpages, research organization, content extraction, source citation, knowledge management, research collaboration.
The description focuses on the app’s functional capabilities and practical value for users who need to collect, summarize, and manage web content for research, writing, or analysis.
Webhound is an AI research agent that builds custom datasets from web research. Instead of spending weeks manually gathering data, simply describe what you need and Webhound automatically finds, extracts, and organizes it into structured datasets you can export.
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