Elysia Tools
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Tools
Search and filter the online tool directory by task, format, and category, then open detailed pages with clear inputs, examples, and execution context. Focused on Data Processing.
Image, audio, and video processing, conversion, and optimization tools
Calculators, numerics, date logic, statistics, and finance tools
Color, layout, graphics, visual styling, and design helper tools
Writing, cleanup, formatting, extraction, and text analysis tools
Format, file, archive, unit, and encoding conversion tools
Developer utilities, networking, web debugging, and automation helpers
Data Analysis
Compute conversion-rate or mean differences, 95%/99% confidence intervals, two-sided p-values (Z-test for proportions, Welch t for continuous metrics), lift, sample size for 80%/90% power, recommended experiment days, plus sequential-testing and Bonferroni multiple-comparison warnings.
Data Processing
Paste multiple number combinations and find which numbers repeat across the whole set, with occurrence counts and group positions.
Define input distributions (normal/uniform/lognormal/triangular), write a formula, run thousands of trials, and get the output distribution histogram with confidence intervals.
Upload a CSV file or paste CSV text, remove duplicate rows using exact or fuzzy matching, and download a cleaned CSV.
Infer a relational schema from CSV data and generate create-table plus ALTER migration plans for PostgreSQL, MySQL, SQLite, or SQL Server
Forecast future periods from CSV or JSON time-series data and inspect trend, seasonal, and residual decomposition in one report
Compare two CSV or XLSX datasets and export a PDF report with row, column, and cell-level differences
Detect common log formats, extract core fields, infer field types, and export parsed logs as JSON, CSV, or SQL inserts
Preview JSONata-style queries and transformations, compare results across sample payloads, and export the transformed output as JSON, CSV, YAML, or Markdown
Trace JSON field paths, derived dependencies, and transformation history to build a field-level lineage graph
Reverse engineer SVG charts into data points for line, bar, scatter, and pie-style SVG structures
Upload CSV or JSON time series data, detect anomalies with Z-Score and IQR methods, and return a chart-backed report