Local, no-API natural language query compiler for Google Scholar & literature search engines.
Users
4
+1 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
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Store rank
#277K
#229K among extensions
Version
1.2.0
updated 11 Aug 2026
Users
monthly, 2 months
Latest, 15 Oct 2026:4 usersMove the mouse over the chart for any month
Ratings count
monthly, 2 months
Latest, 15 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Google Scholar Local Query Compiler
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