Pre-Submission Formatting for Research Papers & Theses

Turn raw drafts into compliant Word documents formatted to journal (Nature, IEEE, Elsevier) and university guidelines in 1-click.

Upload your manuscript

Next you'll choose a thesis or a paper, and the guidelines. Nothing is formatted until you confirm.

or drop the file here

Zero AI Training · 100% Confidential Equations, Citations & Prose Protected Auto-Deleted in 24h · Instant on Demand

Contains official formatting guidelines from 150+ universities and major academic publishers worldwide.

Submission standards supported across leading publishers & graduate schools:

IEEE TransactionsNature PortfolioElsevier (ScienceDirect)Springer NatureACMPLOS ONEWileyScience (AAAS)StanfordMITCambridge150+ Verified Universities

How it works

From a raw Word file to a submission-ready document, with nothing formatted until you confirm the target.

Upload your Word file
We read the file name and title page to tell a thesis from a paper. Equations and citations stay intact.
Confirm the guidelines
We pre-select your university or journal. Change it to a preset, a guidelines link, or your own file.
Review the formatted file
Formatting is applied automatically. The report marks each rule passed, fixed, or flagged.
Download and check in Word
Open the .docx in Word and review it before you submit. Revisions are free: 14 days for a paper, 45 for a thesis.

Visual Output Preview: Formatted Academic Layout

See the exact peer-review typography, continuous line numbering, and 3-line tables generated by ScholarSpec for research papers and theses.

J. Smith et al. / Nature Communications (2026) 17:412

✓ 1-Column Peer Review

✓ Formatted to Guidelines

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A Novel Transformer-Based Architecture for Biosignal Analysis

John Smith¹, Emily Watson^2,*, David K. Vance¹

¹ Department of Biomedical Engineering, Stanford University, Stanford, CA, USA
² Department of Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
^* Corresponding Author: watson@mit.edu | ORCID: 0000-0002-1825-0097

Abstract✓ Double Spacing (2.0x)

Background: Accurate biosignal classification is crucial for next-generation clinical decision systems.Methods: We introduce a multi-head spatial attention transformer optimized for multivariate time-series.Results: The proposed model achieved 98.4% classification accuracy across 42,000 ECG patient records, outperforming traditional LSTM baselines by 6.3%.

Table 1. Hyperparameter configurations and benchmark validation metrics.✓ 3-Line Academic Table

Model Architecture	Latency (ms)	Accuracy (%)	F1-Score
Baseline LSTM	14.2	92.1	0.912
Proposed Attention Model	8.6	98.4	0.982

References✓ Canonical HTTPS DOIs

1. Vaswani, A. et al. Attention is all you need. Adv. Neural Inf. Process. Syst. 30, 5998–6008 (2017). https://doi.org/10.48550/arXiv.1706.03762

2. Devlin, J. et al. BERT: Pre-training of deep bidirectional transformers. Proc. NAACL-HLT 4171–4186 (2019). https://doi.org/10.18653/v1/N19-1423

Continuous Line NumbersReviewer line-by-line critique

3-Line Academic TablesRepeating headers & zero split rows

DOI NormalizationVerified clickable HTTPS links

Guideline-Calibrated Spacing2.0x pitch or dissertation gutters

Why 1-Column for Peer Review? Most peer-reviewed journals (Nature, IEEE, Elsevier, PLOS, Wiley) require single-column, double-spaced drafts with continuous line numbers for reviewer commentary. Publisher multi-column typesetting is performed post-acceptance.

Graduate researcher reviewing formatted academic dissertation draft in a university library

Academic Focus

Built for Scholars, Postdocs & Graduate Students

Formatting guidelines shouldn’t stand between years of rigorous research and successful publication.

Graduate school format checks
Another journal after a desk rejection
The Word file, with comments still in it
The manuscript stays off the training set

Engineered for Academic Rigor: Why Researchers Trust ScholarSpec

Built specifically for Word manuscripts. Designed to eliminate desk rejections without breaking equations or citations.

Zero Equation Corruption

Native Word equations, MathML formulas, and MathType objects are isolated in a protected container—never corrupted into broken glyphs or flattened into images.

∇ × E = −∂B/∂t

Active Reference Field Code Lock

We never flatten your bibliography into plain text. Dynamic citation field codes from Zotero, Mendeley, and EndNote remain active, fully functional, and editable.

ZoteroMendeleyEndNote

Peer-Review & Thesis Layout Engine

Automatically injects continuous line numbers and 3-line tables for journals, or compiles 1.5" binding gutters and Roman preliminary pagination for dissertations.

Line numbers3-line tablesBinding gutter

Strict Academic Confidentiality

AI-powered precision with zero full-manuscript exposure. ScholarSpec matches university and publisher guidelines as closely as possible without compromising academic integrity. Files are automatically deleted after 24 hours and never used to train AI models.

Not used to trainDeleted after 24 hours