AnkaSearch is a desktop application that acts as a Meta Search Utility. With access to over 70 search engines, this tool removes duplicate pages and aggregates results from multiple sources. It also allows users to save, organize and manage selected downloaded pages.
To combat this issue, AnkaSearch launches parallel searches on selected search engines. It aggregates the results and presents them in a single list. Additionally, AnkaSearch provides direct access to databases operated by universities, government, and trade bodies, collectively known as the Deep Web.
Given the staggering rate at which web content is doubling every two months, it's becoming increasingly challenging for humans to digest information, with a constant rate of 0.3 MB an hour. However, with AnkaSearch, automation takes care of searching through hundreds of thousands of search results that would be impossible to peruse manually.
The tool caters to the needs of power search users like researchers, librarians, and knowledge workers by offering salient features such as fetching results from over 70+ search engines, segregating them into ten selectable subject directories, removing duplicate pages, and aggregating results from multiple sources.
Moreover, AnkaSearch enables faster downloads due to pipelining and allows users to save selected downloaded pages, organize and manage saved pages, search within downloaded result descriptions and pages, and advanced configuration features. Users can control the number of parallel connections depending on their internet connection bandwidth and specify CPU utilization used by AnkaSearch without causing other applications to hang.
AnkaSearch is a multithreaded tool that allows users to launch multiple searches simultaneously. The maximum number of threads is adjustable. A free trial download is available to test out its features. Overall, AnkaSearch is a comprehensive search tool that simplifies the search process, reduces time spent searching and guarantees better search results.
Version Beta_1.04: N/A
Version Beta 1.04: N/A