Free tool · Writing & publishing
Abstract feedback
Word count, the five moves, and the sentences to fix. Feedback only; it never rewrites your abstract.
Paste your abstract here and this tool checks its word count, its five moves and up to five sentences you should fix. The five moves are background, aim, method, result and conclusion. Against each point the tool quotes your own words back to you. The rewriting is your job only.
Many times editors and examiners read only the abstract before deciding what to do next. In your own writing, the usual problems are hard to spot. Results may have no numbers, the aim may not match the result, or an abbreviation is never expanded.
Method
How this tool works
Our server itself counts the words, going by the spaces between them. AI models counts words badly, so we don’t give that work to the model. Mostly hyphenated terms make Word’s number a little different from ours. The rest of the feedback comes from OpenAI’s gpt-4o-mini model, which gets your abstract along with our instructions.
As per those instructions, the model looks for each of the five moves one time. When it finds a move, it must quote the exact sentence or phrase in your abstract that does that job. After that it gives list of up to five specific problems. A claim that is vague gets pointed out, same for a result where you gave no number. Abbreviations left undefined and too much jargon get marked too. So does an aim not matching the result, or one point said twice. Rewriting your sentences or inventing facts about your study is not allowed for the model.
The model has to reply in a fixed format. Our server looks at that format first, and if something is broken there, you get a plain message and the check is not counted. You get 3 free AI checks a day, counted together for all our AI tools. If you paste the same abstract again on the same day, the saved result is shown and no check is used. The answer quotes your abstract, so we keep it for up to two days only. The key for locking it is made from your abstract’s own words. Only someone who already has your abstract can open it. For examples of each move, read our guide to writing an abstract.
Limits
What this tool can’t do
FAQ
Frequently asked questions
Is my text stored?
No, your abstract is not saved on our server. It goes to OpenAI only for making the feedback. The answer we do keep, for up to two days, so a repeat check of the same abstract costs you nothing. Since that answer has quotes from your abstract, it is locked with a key made from your text. Without the abstract, nobody can read it.
Why only 3 a day?
Every check costs us a little to run, and we want the tools free with no sign-up. The daily limit is how we keep them open for all scholars. A failed check is not counted against you. Sending the same text again on the same day is also free. Do all the corrections from first check, and run the second check after that only.
Is using this allowed by my university?
Here the tool only points out problems. The changes you make in your own words. Generally this kind of use is accepted. Still, every university makes its own rule on this, and so does every journal. For where the lines usually fall, read our guide on using AI tools in your PhD.
Why does my word count differ from Word’s?
Word may count a hyphenated word, number or symbol one way, another tool some other way. Usually the gap is a few words. When you are near the word limit, go by the count your journal or university uses.
Does every abstract need a background sentence?
Most abstracts do have one. One sentence of background is enough, a whole paragraph is not needed. A few journals with tight word limits like the abstract to open straight with the aim. Look at recent abstracts in your target journal.
Can someone review my whole paper?
Yes. Our research paper review looks at structure, clarity and journal fit, and you remain the author all through. The first consultation is free of charge.
Keep reading
Related guides and services
How to write an abstract
The four moves every abstract makes, word limits, and a weak-versus-strong example.
Research Paper Review Before Submission
Your draft, read by someone who publishes in your field, before a journal editor reads it.
Journal Manuscript Preparation
Your finished paper, formatted and checked against the target journal’s rules before a desk editor sees it.
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