Data To Paper
What is Data To Paper ?
AI-native research paper generation platform designed specifically for survey and clinical data. Upload CSV/XLSX/XLS format raw data, and AI automatically completes the entire process of data cleaning, research design, statistical analysis, and paper writing, generating a complete research paper that meets academic standards. Supports reliability analysis, t-tests/ANOVA, correlation regression, survival analysis, ROC curve, and other 8 core statistical methods, outputs in multiple formats including PDF/Word/LaTeX/ZIP, and supports 7 languages: Chinese, English, Japanese, Korean, French, German, and Spanish, suitable for survey research, scale validation, and clinical data analysis scenarios.
- Recording time:2026-04-10
- Is it free:

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Data To Paper Core Features
Intelligent data cleaning and parsing (automatically identifying survey/clinical data formats, handling multiple header types)
Fully automated statistical analysis (8 methods including Cronbach's α/t-test/ANOVA/correlation/regression/survival/ROC)
AI paper writing and formatting (automatically generating a complete structure of introduction, methods, results, and discussion)
Multilingual multi-format output (supporting 7 languages, outputting PDF/Word/LaTeX/ZIP with source files and charts)
Research-grade visualization generation (academic charts such as heat maps, regression coefficient plots, survival curves, and ROC curves)
Data To Paper Subscription Plan
FAQ from Data To Paper
What types of data is this tool best suited for?
Optimized for three types of research data: 1) Survey data - supports raw export files from platforms like Wenjuanxing, SurveyMonkey, automatically recognizing machine headers or descriptive text columns like Q1/Q2; 2) Scale validation data - supports psychometric and educational scale reliability and validity analysis, automatically calculating Cronbach's α coefficient; 3) Medical clinical data - supports patient data, follow-up records, and diagnostic indicators exported from hospital information systems, capable of handling clinical variable names like HbA1c and SBP. Prioritizes reading raw data/responses/patient data worksheets rather than summary tables.
Which steps are handled automatically by AI?
The entire process is automated in four stages: First, AI cleans the uploaded survey or clinical data, handling missing values and outliers; second, AI constructs the research design, variable framework, and analysis plan; third, AI performs statistical analysis and generates verifiable output results; fourth, AI writes a complete paper and provides a PDF preview upon completion. Users do not need to operate statistical software or write code manually, simply upload data and optionally input the research topic.
What output languages are supported?
Supports generating papers in 7 languages: Chinese, English, Japanese, Korean, French, German, and Spanish. Users can choose different languages based on the target journal or delivery scenario, and AI will automatically adjust the academic writing style and terminology to ensure compliance with academic standards in the target language.
What files can be downloaded?
Provides a complete delivery package: PDF format (suitable for reading and initial submission), Word format (suitable for subsequent editing and modification), LaTeX format (suitable for academic typesetting and journal submission). A ZIP archive integrates all files, including: the paper document, generated chart assets (heat maps, regression coefficient plots, survival curves, etc.), and source files (available for further editing and LaTeX compilation). Logged-in users can review their paper history, preview, and re-download at any time.
How is data access isolated to ensure security?
Implements account-level data isolation, where each logged-in user can only access their uploaded data and generated papers. The process involves secure encrypted transmission and storage, compliant with GDPR data protection regulations. The raw data is used solely for paper generation and will not be used for AI model training or shared externally. Once processing is complete, data is automatically saved, and users can delete their history at any time, ensuring absolute privacy and security of sensitive research data.
How is the quality of the generated paper? Can it be submitted directly?
The generated paper contains a complete academic structure (introduction, literature review, methods, results, discussion, conclusion), with statistical method choices and analysis results meeting academic standards. Charts follow research-grade visualization specifications. However, it is recommended to use it as a draft; researchers should supplement literature references and enhance the academic depth of the discussion section based on the actual research context, and it should be reviewed by professionals for accuracy in statistical methods and conclusions. Particularly suitable as a draft for research reports, coursework, or rapid analytical delivery.
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