AI-Powered Pre-Submission Checker

Up to 70% of manuscripts fail desk review. Check yours before you submit.

Upload your paper and get an instant Readiness Score — AI checks structure, clarity, references, and journal fit. Know exactly what to fix before rejection costs you months.

425+ manuscripts checked English manuscripts only Results in 5–10 min
📎
Click to upload or drag and drop
DOC, DOCX or PDF · max 20MB

Your manuscript is used only to generate this report, is not used to train public AI models

Results to your inbox in 5–10 min · English manuscripts only

425+
Manuscripts checked
+30%
Raises desk review pass rate
40+
Countries represented
94%
Would recommend to a colleague
How it works

From upload to clarity in 4 steps

No account needed. Pay once, get your Readiness Score and a detailed PDF report delivered straight to your inbox.

1
Upload
Upload your manuscript as DOCX or PDF. For Journal Check, add your target journal's URL.
2
AI Reviews
Our AI checks 7–10 criteria: structure, abstract, research question, methodology, results, references, and English clarity.
3
Get Your Score
Receive a Readiness Score from 0–100% with a colour-coded verdict: Ready, Almost Ready, Needs Work, or Not Ready.
4
Fix & Submit
Your PDF report shows exactly what to improve — criterion by criterion. Journal Check adds plagiarism and AI detection via iThenticate.
Pricing

See exactly what you get at each level

Start free — upgrade only if you need more. No subscription, no account required.

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Free
See your score first
Basic
$14
Full report + fixes
General criteria
Overall Readiness Score (0–100%)
Article structure completeness
Abstract quality
Research question clarity
Methodology presence
Results & evidence analysis 🔒
Reference count benchmark 🔒
Academic English quality 🔒
Criterion-by-criterion fix recommendations 🔒
PDF report delivered to inbox 🔒
✓ ×3
Journal-specific criteria
Aims & scope compatibility
Author guidelines compliance
Article type match verification
Plagiarism & AI detection
Similarity report (iThenticate)
AI content detection
Sample report

Know exactly what's holding your score back

A lower score isn't a rejection — it's a checklist. Here's a real example: the overall score, every criterion we check, and fixes tied to your target journal's actual guidelines.

Readiness

Mobile Money Adoption and Financial Inclusion in Rural Kenya

~18 pages · ~5,400 words · 42 references

48%
Needs work

Readiness

18%
Low

iThenticate

similarity check

6%
Low

AI Detection

Your manuscript needs meaningful revision before it's ready for this journal.

✓ Good — 4 △ Needs work — 4 ✕ Missing — 2

Target journal

Journal of Development Economics and Policy

10

Criteria

48%

Readiness

Journal Check

Package

15 Aug

Generated

Checklist

10 criteria checked

What we actually evaluate

General criteria (1–7)

StructureGood
AbstractGood
Research questionGood
MethodologyMissing
Argument & conclusionsNeeds work
ReferencesNeeds work
LanguageNeeds work

Journal-specific (8–10)

Word count & formattingGood
Citation style matchNeeds work
Limitations sectionMissing
Priority fixes

Fix these 3 first

Specific to Journal of Development Economics and Policy

1

Methodology Missing

JDEP's author guidelines require a dedicated Methods section detailing sampling frame, instrument, and data source. Yours folds this into the introduction — split it into its own section before Results.

2

Limitations Missing

JDEP's review checklist explicitly asks reviewers to check for a Limitations section. Add one discussing data constraints and how far your findings generalise beyond the three counties surveyed.

3

Citation style Needs work

JDEP uses APA 7th edition with DOIs on every journal reference. Your list mixes numbered and author-date styles — reformat all 42 entries, or risk a desk-reject on formatting alone.

4

References Needs work

JDEP's submission FAQ flags missing DOIs as the top reason for first-round reviewer pushback. 15 of your 42 references are missing DOIs — add them before you submit.

Why Manuscript Readiness Checker

Most rejections are preventable.
Most authors don't know that.

Desk rejection doesn't mean your research is bad. It means something predictable stopped the editor from sending it to reviewers.

🎯
Know before you submit
A missing section, a weak abstract, a scope mismatch — things a checklist catches in minutes. Don't find out from a rejection email after three months of waiting.
📊
A score, not a guess
Readiness Score gives you a number, not a feeling. Green means go. Red means fix first. Every criterion is scored individually so you know exactly where to spend your revision time.
🔍
Journal-specific analysis
General feedback isn't enough when every journal has different rules. Journal Check pulls the actual aims & scope and author guidelines from your target journal and checks your paper against them directly.
🛡️
Plagiarism + AI detection included
Journals increasingly screen for AI-generated content before peer review. Journal Check includes both similarity checking and AI detection via iThenticate — the same tool used by thousands of journals worldwide.
Researchers who checked before they submitted

Real results from real researchers

"

I submit to several journals a year, and most of my time was never spent writing, it went into uncertainty: was the manuscript actually ready, or was I just guessing? Twice I was rejected at the desk-review stage without even getting a chance at peer review, and I never found out exactly why. On top of that, I had no way to run my manuscript through Turnitin or an AI-detection check, I simply didn't know where to get one.

Before my last submission I chose the Journal Check package in Article Readiness, specifically because it included both plagiarism and AI checks. My readiness score came back at 55%, plagiarism at 17%, and AI-detection at 10%. The report flagged three specific priorities: methodology, research questions, and abstract structure. These weren't generic tips like 'improve your structure', each point showed exactly what and where to fix.

I spent 7 days on focused revisions instead of weeks of guessing, submitted the paper, and this time passed desk review with zero comments from the editor. The difference was immediate. 📈

📈 Readiness 55% · Plagiarism 17% · AI 10%
Idowu Olugbenga Adewumi
Idowu Olugbenga Adewumi
PhD Researcher, Computer Science · Federal College of Agriculture, Ibadan
ORCID: 0000-0002-7005-3306
🇳🇬
"

As Head of Department, I review my colleagues' and students' papers myself, so I know exactly what a manuscript that 'looks ready' but isn't actually looks like. The problem is that when you're checking your own paper, it's easy to miss what you'd instantly catch in someone else's.

Article Readiness gave me a score of 70% and flagged that I hadn't included enough sources from the last 5 years, a requirement the journal specifically asked for, something I'd missed despite rereading the manuscript several times. I also appreciated the similarity check: 3% similarity with a clear list of sources, not just a number with no explanation. It's genuinely convenient having readiness, plagiarism, and AI reports all in one place.

I've used it on 4 papers in the past month alone, for a department head, that's real time saved that would otherwise go into manually checking every single paper. 👏

🔁 4 manuscripts checked in one month
Dr Saqib Khan
Dr Saqib Khan
Head of Department, Economics · Abbottabad University of Science & Technology
ORCID: Not found
🇵🇰
"

The biggest problem with feedback from colleagues or a supervisor is that it's always subjective and different every time. One person says 'looks fine', another finds completely different issues. I needed a clear, consistent standard before even thinking about submission.

I was submitting to a serious publisher, and before this I'd been rejected at desk review three times across different journals from that same publisher. Article Readiness gave me a 40% score with an explanation for each of the 7 criteria individually, where it was Good, Needs work, or Missing, and what each rating actually meant. The most useful part was the Priority Fixes section: instead of a list of 10 remarks, it showed me the 5 points to start with first.

I fixed exactly those 5 points in 2 weeks, and the paper successfully passed desk review. ✅

✅ Passed desk review after 3 rejections
AM
Dr Abdul Majid Awan
Assistant Professor, Economics · Abbottabad University of Science & Technology
ORCID: 0000-0002-9238-3728
🇵🇰
FAQ

Common questions about manuscript readiness

The safest way is to check it against the specific criteria journals use at desk review: structure completeness, abstract clarity, reference count, scope alignment, and author guidelines compliance. Our AI Readiness Score covers all of these and gives you a 0–100% verdict with specific improvement recommendations.
At desk review, editors typically check whether your manuscript fits the journal's scope, follows formatting and structure requirements, meets minimum reference standards, and is written in clear academic English. Papers that fail any of these criteria are rejected before reaching a single reviewer.
The top reasons are: scope mismatch with the journal, poor abstract structure, missing or under-developed methodology section, insufficient references, and formatting that doesn't follow author guidelines. All of these are detectable — and fixable — before you submit.
AI content detection identifies text that was likely generated by tools like ChatGPT. Many journals now screen for this before peer review, and high AI detection scores can lead to desk rejection or retraction. Journal Check includes AI detection via iThenticate so you know your score before the editor does.
iThenticate is the industry standard — used by thousands of journals and publishers worldwide, including Elsevier, Springer, and Wiley. Journal Check uses iThenticate via Crossref Similarity Check, the same system your target journal likely uses. You see your score before submission, not after.
Plagiarism checking compares your text against published papers, web content, and databases to detect copied or paraphrased content. AI detection identifies patterns typical of AI-generated writing. They are separate checks — both are included in Journal Check.
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