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Upload your manuscript
PDF, DOCX, and image-with-text supported. Upload main file, tables, and figures separately — the AI treats them as authoritative.
About us
Reviewer-facing feedback before journal submission
Review My Manuscript is an AI-assisted pre-submission review platform developed by Prof. Dr. Alp Özgün Börcek, a neurosurgery professor and active academic author. Upload without a credit card, see a limited scored preview, then decide whether to unlock the full report.
Review my manuscript
From the founder
Prof. Dr. Alp Özgün Börcek
Professor of neurosurgery · active academic author
I have spent years writing papers and watching peer-review and editorial workflows up close. Clear, structured pre-submission feedback is still slow, expensive, or inaccessible for many researchers — yet much desk-reject and major-revision risk shows up early as methodology and reporting gaps.
That is why I built Review My Manuscript: not to replace a human reviewer or supervisor, but to give a literature- and checklist-grounded, actionable pre-review in minutes. The goal is not a publication guarantee — it is helping you see weak points before you submit.
By the numbers
540+
Journals indexed for fit suggestions
5–15 min
Average report turnaround
14 days
Refund window (digital-service exception applies)
0%
Of your manuscript ever used to train AI
Our mission
Most peer-review platforms either rewrite your manuscript or send you to a generic chat model. We do neither. Our pipeline runs a multi-agent reviewer-style analysis grounded in academic literature, statistical reporting checklists (CONSORT, STROBE, PRISMA), and a curated journal catalog — and returns a structured report you can act on before submitting.
We built it because pre-submission feedback is uneven, slow, and expensive in academia. A focused, transparent AI tool can flag obvious risks (methodology gaps, statistical reporting issues, journal-fit mismatch) in minutes — without replacing the human peer reviewer or your supervisor.
How it works
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Multi-agent AI pipeline
A core reviewer model plus specialist agents (editorial, statistical, visual, language) run against your manuscript with RAG-grounded literature and journal context.
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Reviewer-style report
You get a structured report: methodology risks, statistical issues, literature context, journal-fit suggestions, and an action plan — exportable as DOCX.
Transparency & data
Your text never trains AI
Uploaded manuscripts are used only to generate your report. We do not fine-tune or train any model on your content.
Regulated payment partner
Our payment partner acts as Merchant of Record and handles billing, taxes, and refunds in accordance with applicable consumer law. A 14-day right of withdrawal applies where the law allows; see refund details in our terms.
Encrypted upload & storage
TLS-encrypted upload to Firebase Storage; signed URLs for AI processing; manuscript files are deleted on schedule per our data lifecycle policy.
Failed pipeline → automatic refund
If our pipeline fails to deliver a report, your order is automatically moved to 'refund pending' and we initiate the refund without a separate request.
Ready to see what a reviewer would say?
Upload without a credit card and see a limited scored preview. Unlocking the complete report is optional and paid.