Refine research papers and grant proposals with keyword density analysis, readability control, and parts-of-speech tagging. Your unpublished work stays 100% confidential with client-side processing—no data ever leaves your device.
Stop second‑guessing abstracts and paper structure. Get objective, measurable feedback instantly.
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Objective analysis that helps you meet journal standards and communicate research clearly
Target journal standards with seven readability scores—aim for Gunning Fog 12-16 for peer‑reviewed publications or Flesch 50-60 for broader audiences
Track term frequencies with n‑gram analysis and export CSV data for methods sections or supplementary materials
Identify technical nouns, verbs, and terminology patterns to ensure balanced academic vocabulary across disciplines
Spot long, dense sentences in abstracts and papers that may confuse reviewers or broader audiences
All analysis runs locally in your browser—unpublished research never touches servers, ensuring complete confidentiality
Download keyword data in CSV format for transparent documentation and reporting
Join researchers using Gorby to meet journal standards while keeping unpublished work completely confidential
Start analyzing your research writing in seconds—no account required
Copy your abstract, paper section, or grant proposal from Word, LaTeX, or any editor and paste directly into Gorby. No file uploads or account setup—your text stays on your device.


Get instant, quantifiable feedback on readability, keyword density, and sentence structure. Open specialized views like Keyword Densities or Parts‑of‑Speech to analyze terminology patterns.
Simplify dense sentences, adjust readability, and export keyword data as CSV for methods sections. Edit directly in the app, then copy refined text back to your manuscript.
* AI features require internet connection and are not processed locally

Join researchers using Gorby to meet journal standards while keeping unpublished work confidential
Try It Free — No Account NeededEverything you need to write sharper papers and meet journal standards
Seven formulas including Gunning Fog and Flesch‑Kincaid help target journal standards or broader audiences
Explore featureTrack term frequencies with n‑gram analysis and export CSV data for methods sections or supplementary materials
Explore featureIdentify technical nouns, verbs, and terminology patterns to analyze vocabulary balance across disciplines
Explore featureSpot long, complex sentences in abstracts and papers that may confuse reviewers or broader audiences
Explore featureTrack word and character counts, paragraph structure, and reading time as you draft
Explore featureSave drafts locally with backups and export to Word or plain text—your work stays secure
Explore featureAnalyze unpublished work with confidence—no data leakage, no server storage
All analysis runs in your browser—unpublished research never touches servers
Your manuscripts are never saved, stored, or accessed by Gorby servers
Clean, distraction‑free analysis environment with no advertising or analytics
Everything you need to know about using Gorby for research writing
Yes! Your text never leaves your device, ensuring complete confidentiality for unpublished research, grant proposals, and pre-publication manuscripts.
Use the Export CSV button in Keyword Densities to download term frequencies, percentages, and n‑gram analysis. This data can be included in your research methods or supplementary materials.
For peer‑reviewed journals, aim for Gunning Fog 12-16 or Flesch‑Kincaid Grade 13-15. For conference presentations or public‑facing summaries, target Flesch Reading Ease 50-60 (10th-12th grade).
Yes. Real‑time word counts and Writing Goals help you stay within strict abstract limits (150-300 words). Sentence highlighting reveals where to simplify dense phrasing.
The parts‑of‑speech tagger identifies technical nouns and terms across disciplines. Keyword Densities track domain‑specific phrases to ensure appropriate terminology coverage.
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Join researchers using Gorby to meet journal standards with objective metrics and complete confidentiality

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