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SwiftSearch logo SwiftSearch and Flamory

Flamory provides the following integration abilities:

  • Create and use window snapshots for SwiftSearch
  • Take and edit SwiftSearch screenshots
  • Automatically copy selected text from SwiftSearch and save it to Flamory history

To automate your day-to-day SwiftSearch tasks, use the Nekton automation platform. Describe your workflow in plain language, and get it automated using AI.

Screenshot editing

Flamory helps you capture and store screenshots from SwiftSearch by pressing a single hotkey. It will be saved to a history, so you can continue doing your tasks without interruptions. Later, you can edit the screenshot: crop, resize, add labels and highlights. After that, you can paste the screenshot into any other document or e-mail message.

Here is how SwiftSearch snapshot can look like. Get Flamory and try this on your computer.

SwiftSearch - Flamory bookmarks and screenshots

Application info

SwiftSearch is a lightweight program whose purpose is to help you quickly find the files you need on your Windows machine without ever requiring you to index your drives. Most search utilities that achieve similar speeds do so by indexing drives while the computer is idle, but because idleness detection is so difficult to get right, in practice they end up slowing down the whole system just to speed up search. SwiftSearch works differently: given administrator privileges, it completely bypasses the file system (only NTFS supported) and reads the file table directly every time, which speeds up search by many orders of magnitude. Typically searches yield full results in ~10 seconds or less, a significant speedup for many users. As a bonus, this program also supports path-based search (for example, you can search for "*Program*\Windows*"), regular expressions (just start the search name with '>' character), and full directory sizes. Its goal is to be simple, swift, and intuitive to use.

Integration level may vary depending on the application version and other factors. Make sure that user are using recent version of SwiftSearch. Please contact us if you have different integration experience.