Find in Files file content search

"Find in Files" is a powerful plain text file content search tool using wxPython UI framework construction is an open source and free software that provides users with a way to quickly find text content in multiple text files. Huajun Software Park provides you with free download of Find in Files file content search. Friends who like Find in Files file content search come to Huajun Software Park to download and experience it!

Find in Files file content search software features

Pattern search: Users can enter keywords to search, and can choose whether to enable regular expressions, case sensitivity, or whole-word matching filter conditions.

File filtering: Users can specify file types to filter, and only search for files of specific types to improve search efficiency.

Real-time preview: Search results are displayed instantly, including matching text lines, file names and line numbers, allowing users to quickly locate information.

Highlighting: Matching text will be highlighted in the result list and file preview to facilitate user identification.

Quick opening: Users can quickly copy the file path in the search results, or view the location of the file in the folder with one click.

​​History: The software will save the user's search history to facilitate the user to continue using it next time.

Menu integration: Supports adding shortcuts to the Windows Explorer right-click menu and "Send to" menu to facilitate users to quickly start the software.

Compatible platform: The software is compatible with Windows 7 and above operating systems, and the source code can be used on Linux or macOS systems.

Help document: The software has a built-in regular expression help document. Press F1 to open it. Users can consult it at any time.

"Find in Files" It is suitable for users who need to find specific text content in a large number of files. Whether it is developers looking for code snippets or ordinary users searching for documentation, it can provide great convenience.

1. Fixed several bugs;

2. Optimize details;