Google Search Now Testing Custom Filters and Templates

Google Search custom filters and templates are new features currently being tested that allow users to create and save their own search filters. These filters can include specific keywords, website domains, file types (like PDFs, documents, spreadsheets, presentations, and ebooks), and time frames (such as past hour, day, week, month, and year). Once created, these custom filters can be named and reused for future searches, streamlining the process of finding specific types of content.

To use Google Search custom filters for specific file types, you can set a filter to search for file types outside of webpages. This includes options like:

• PDF
• Documents
• Spreadsheets
• Presentations
• Ebooks

By selecting one of these file types, Google Search will filter results to only show the chosen file type, making it easier to find specific documents.

Once you have created a custom filter in Google Search, you can save it with a unique name. This allows you to easily reuse the filter for future searches without having to recreate it each time. This feature is designed to save time and effort when you're looking for the same type of content repeatedly.

Examples of Google Search custom filters provided by Google include:

• Discussions: Filters results to only show content from discussion platforms like Quora and Reddit.
• PDF Only: Displays only PDF file results.
• Past 7 Days: Limits search results to content from the past week.
• Family Friendly: Shows results from a pre-approved list of websites.
• Coding: Filters results to show content from coding-related websites such as Github and Stackoverflow.

These examples illustrate how custom filters can be tailored to specific search needs.

As of the information provided, Google Search custom filters and templates are still in the testing phase and are available to a limited number of searchers. There is no confirmed date for when this feature will be fully launched and made available to all users. The testing phase is crucial for Google to gather feedback and ensure the feature works as intended before a wider release.