Data2Paper

Data2Paper is a report-generation service that turns survey, scale and questionnaire export data into research papers. It is designed for researchers, students, analysts and teams who need faster first-pass research outputs from tabular survey data without rebuilding the workflow from scratch. The platform also generates literature reviews from a topic and produces simulated peer review feedback on existing papers.

Users upload a CSV, XLSX or XLS file, choose an analysis type such as survey analysis, medical research or scale development, and pick a paper language. Data2Paper automatically frames research questions, selects variables and builds an analysis plan from the raw data, then runs a statistical pipeline covering reliability, correlation, regression, mediation, survival and diagnostic analyses before writing the paper.

The generated paper includes an abstract, introduction, methodology, results and discussion section, available in Chinese, English, Arabic, Japanese, Korean, French, German and Spanish, with downloadable PDF, Word, LaTeX and ZIP outputs. The literature review tool searches and reads relevant sources, organizes findings into thematic sections, and produces citations and a bibliography. The peer review tool runs several simulated reviewers, checks methodology and statistical reporting, and returns a revision roadmap and editorial decision.

Data2Paper charges per job instead of a subscription: a research paper costs $19.90 per unlock, a paper review costs $9.90 per unlock, and a literature review costs $9.90 per unlock, with each job previewed for free before payment. Uploaded data files are limited to 10MB, and supported file types are CSV, XLSX and XLS.

Use cases

• Turning survey and questionnaire data into a full paper draft
• Validating scale reliability for questionnaire data
• Analyzing clinical trial survival outcomes
• Generating a literature review from a research topic
• Getting simulated peer review feedback before submission