Stop wasting hours formatting p-values and confidence intervals. Paste your raw statistical output and get perfect APA 7 style reports.
No AI. No Hallucinations.
100% Local processing. Your data never leaves your device.
Guaranteed Privacy: Data is processed 100% in-browser
Our engine is 100% deterministic. No AI means no false data and no need to declare AI usage in your paper.
Our engine runs 100% in your browser. Your raw statistical data never leaves your device, guaranteed by design.
Process R Console and JASP LaTeX output instantly. SPSS support is currently in Beta.
Every decimal, italicized letter, and p-value format follows the American Psychological Association guidelines exactly.
We support a wide range of analyses from R, SPSS, and JASP. Check our documentation for the complete list of supported functions and packages.
View Supported TestsPerfect for students and researchers.
Born for researchers and students in free format. If you need to process significantly more data, contact us.
ContactNo. Our entire processing engine runs on the client-side. Your statistical data is processed locally in your browser and is never sent to our servers, making it technically impossible for us to access it.
We fully support R (Console output), JASP (LaTeX tables, optimized for version 0.95.4.0), and SPSS (Text Output, optimized for version 31.0.1), though they should also work with earlier versions. SPSS support now covers most major analyses including T-Tests, ANOVA, Regression, and Mixed Models.
We support a comprehensive suite of analyses. **R**: T-Tests, ANOVA (One-Way, Factorial, RM), Regression (Linear, Logistic, LMM), Correlations (Pearson, Spearman), and Non-Parametric Tests (Mann-Whitney, Wilcoxon, Kruskal-Wallis). **JASP**: Descriptives, T-Tests, ANOVA (inc. ANCOVA), Regression (Linear/Logistic/GLMM), Correlations, Chi-Square. **SPSS**: Descriptives, T-Tests, ANOVA (One-Way, Factorial, RM, ANCOVA, Mixed Models), Regression, and Non-Parametrics.
We extract all APA-required statistics from R, JASP, and SPSS: T-tests (t/W/U, df, p, means/medians, CIs, effect sizes); ANOVA (F, df, p, η², post-hoc contrasts); Regression (b, SE, t/z, p, R², OR, AIC); Mixed Models (fixed/random effects, R²); Correlations (r/rho, n, p); Chi-Square (χ², df, p, N). Detailed outputs like Estimated Marginal Means and assumption checks (e.g., Sphericity) are also processed where applicable.
Our parsing engine has an accuracy rate of approximately 95-98% across supported analyses. Since every statistical output can have slight formatting variations, occasional misparses may occur. If you encounter any issues, please use the Report Problem feature in the dashboard: your feedback directly helps us improve the parser.
Avoid naming your variables with common statistical terms like 'Mean', 'Total', 'Sig', or 'p'. The parser scans for these specific keywords to identify values. If you use them as variable names, the engine might get confused. We recommend using unique names like 'Total_Score' to ensure perfect parsing.
Since we are a formatting tool and not a generative AI, you generally don't need to cite us, though you can mention 'automated formatting' in your methodology if required.