Abstract Checker for Non-Native English Researchers
Paste your research abstract. Get structured feedback in 15 seconds — catching the issues reviewers will flag before they cost you a desk rejection.
Check my abstract now →Free · No signup · No credit card
The hidden tax on non-native researchers
Every researcher writing in a second language pays the same hidden tax: the gap between what you understand and what you can express clearly in English. Reviewers don't care that English is your third language — they read your abstract and decide in 90 seconds whether to read further.
Most desk rejections of non-native submissions are not about the science. They are about the abstract being too vague, missing a key claim, or written in a way that obscures the contribution. This tool was built to surface those issues before you submit.
What the AI checks
Structural completeness
Does your abstract have a clear background, methods, results, and conclusion — or are pieces missing?
Vague claims
Flags hedging like 'significant effect' without numbers, or 'may improve' where stronger evidence exists.
Missing quantification
Highlights places where a percentage, sample size, or effect size would strengthen the claim.
Reviewer-trigger phrasing
Catches phrases that experienced reviewers in your field push back on — before they cost you a revision.
Grammar specific to academic writing
Tense consistency, article usage, and noun phrase issues that non-native writers commonly make.
Length and density
Identifies sentences that are too long, redundant, or pack too many ideas into one breath.
How to use it
- 1
Paste your draft abstract
Up to 3,000 characters. The full abstract works best — don't paraphrase it.
- 2
Select your field
Medicine, social sciences, computer science, engineering — the AI calibrates its feedback to your discipline's norms.
- 3
Read the structured feedback
You get section-by-section notes plus an overall verdict — ready, needs work, or major revision.
- 4
Continue the workflow
From the abstract checker, move on to the Title Optimizer, Keyword Generator, and Journal Matcher — your full pre-submission toolkit.
Built by a researcher
Dr. Muhammad Nouman, PhD
Rehabilitation researcher, biomechanics, AI in education. MyLevelUp English was built from years of experience working with international researchers who knew their science but struggled to express it in English. Read the full story →
Frequently asked questions
Who is this abstract checker for?+
Non-native English researchers, graduate students, and post-docs preparing journal submissions, conference abstracts, or thesis abstracts. It is especially useful before you submit to a target journal or share your work with a supervisor.
What does the AI actually check?+
Structure (background, methods, results, conclusion), specificity of claims, missing numerical evidence, vague hedging language, redundant sentences, and grammar issues that non-native writers commonly make. It also flags phrasing that reviewers in your field would push back on.
Is it really free?+
Yes — the core abstract checker stays free. No credit card, no signup. We rate-limit free use to prevent abuse, not to upsell you. Premium features (PDF reports, version history, journal-matched rewrites) are optional and clearly labelled.
How does it compare to Grammarly?+
Grammarly catches surface grammar. This tool understands research writing — it knows what a Methods section should disclose, what a vague conclusion looks like, and which claims need numbers to back them up. It was built specifically for academic writing, not general English.
Will it rewrite my abstract for me?+
No — the free tool gives feedback so you can rewrite it yourself. That keeps you in control of your voice and protects you from journal policies that restrict AI-generated text. If you want suggested rewrites, that is in our premium PDF report.
Is my abstract stored or shared?+
No. Abstracts are sent to the AI for analysis and discarded immediately. We do not train models on user submissions and we do not store the text after the response is returned.