Item logo image for Google Scholar Local Query Compiler

Google Scholar Local Query Compiler

ExtensionEducation
Item media 2 (screenshot) for Google Scholar Local Query Compiler
Item media 1 (screenshot) for Google Scholar Local Query Compiler
Item media 2 (screenshot) for Google Scholar Local Query Compiler
Item media 1 (screenshot) for Google Scholar Local Query Compiler
Item media 1 (screenshot) for Google Scholar Local Query Compiler
Item media 2 (screenshot) for Google Scholar Local Query Compiler

Overview

Local, no-API natural language query compiler for Google Scholar & literature search engines.

Turn natural-language research questions into structured, database-ready search queries—directly in your browser. This extension is designed for researchers, graduate students, medical literature searchers, and academics conducting systematic reviews, scoping reviews, and meta-analyses. Local and Privacy-Focused Processes search prompts locally within your browser extension. Designed to compile queries without sending your requests to third-party web servers. Does not require external API dependencies. Key Features PICO and SPIDER Structuring Organize research prompts using common evidence-synthesis frameworks, including Population, Intervention, Outcome, Methodology, and exclusion criteria. Search Strategy Templates Generate search strategies tailored to different research goals: Balanced: Combines precision and recall, with suggested synonyms. Title-Focused: Creates targeted phrase searches using intitle: operators. Expanded Vocabulary: Suggests alternative, unquoted terms to broaden early searches. Empirical and Methods: Includes terms for empirical studies, trials, and longitudinal research. Review and Synthesis: Includes keywords suited to systematic reviews and meta-analyses. Controlled Vocabulary Suggestions MeSH descriptors: Suggests relevant Medical Subject Headings, such as mapping “insomnia” to standard MeSH terminology. ACM CCS taxonomy: Helps map computer science concepts to relevant ACM Computing Classification System categories. Multi-Database Syntax Mapping Adapt a search strategy for multiple academic platforms: Google Scholar PubMed, including conversion of intitle: to [tiab] and - to NOT arXiv, including conversion of intitle: to ti: and - to ANDNOT IEEE Xplore, including conversion of intitle: to "Document Title": Semantic Scholar JSTOR PRISMA Literature Tracking Track record counts in the side panel and export structured search documentation in Markdown, LaTeX (.tex), or JSON. Quick Search Syntax Apply common search filters, including: File types, such as filetype:pdf Domain restrictions, such as site:.edu and site:.gov Journal or source tags, such as source: On-Page Search Assistant Use an optional overlay on Google Scholar to adjust search parameters and refine queries without leaving the results page. Ways to Access the Extension Toolbar popup for quick query building Chrome Side Panel Workbench, available with Ctrl+Shift+S on Windows/Linux or Cmd+Shift+S on macOS Context-menu shortcut for compiling a search query from text highlighted on a web page

Details

  • Version
    1.2.0
  • Updated
    August 11, 2026
  • Offered by
    Babu George
  • Size
    45.3KiB
  • Languages
    English
  • Developer
    Email
    babu.geor@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Manage extensions and learn how they're being used in your organization
The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes
Google apps