Master Your
Comprehensive data processing utilities for developers and analysts.
About Data Tools
Data is the foundation of modern decision-making, but raw data is rarely usable in the form it arrives. Our data tools suite transforms messy, unstructured, or incorrectly formatted information into clean, organized, and actionable datasets — all without requiring specialized software like Excel, Python, or SQL management tools.
Whether you are a developer debugging API responses, a marketer cleaning email lists, a researcher standardizing survey results, or a student formatting bibliography entries, these utilities handle the tedious preprocessing so you can focus on analysis and insight. The suite includes a powerful CSV editor for viewing and manipulating tabular data; a data converter for transforming between JSON, CSV, XML, and YAML; a data analyzer that computes summary statistics like mean, median, mode, and standard deviation; and a data filter for sorting, deduplicating, and conditionally extracting rows.
Unlike desktop spreadsheet software, our data tools process information entirely in your browser. Sensitive customer records, proprietary research data, and confidential business metrics never leave your local machine. There is no risk of accidental cloud sync, no vendor lock-in, and no subscription fees. You simply paste, upload, or type your data, apply the transformation you need, and copy the results.
Why Use Our Data Tools?
Browser-based processing means sensitive data never touches external servers.
Instant transformation without opening heavy spreadsheet or database software.
Support for CSV, JSON, XML, YAML, and TSV formats with intelligent parsing.
Built-in statistical analysis for quick insights without writing code.
Common Use Cases
API Response Debugging
Paste raw JSON from an API endpoint, format it for readability, and convert to CSV for comparison with existing datasets.
Marketing List Cleaning
Upload a CSV of leads, remove duplicates, filter by domain, and standardize phone number formats before importing into a CRM.
Academic Data Analysis
Paste survey results to compute descriptive statistics, identify outliers, and generate formatted tables for research papers.
Configuration File Conversion
Convert between JSON, YAML, and XML configuration formats when migrating between different systems and deployment pipelines.
Pro Tips
Validate after every conversion
When converting between formats, always spot-check the first and last rows to ensure column alignment and data types survived the transformation intact.
Use the filter for large datasets
Instead of scrolling through thousands of rows, use the Data Filter to isolate exactly the records matching your criteria.
Save your source file
Browser-based tools do not preserve history. Keep a backup of your original data file before performing destructive operations like deduplication.
Frequently Asked Questions
What file formats are supported?
We support CSV, TSV, JSON, XML, and YAML files. You can also paste raw text directly into most tools.
Is there a row limit?
Because processing happens in your browser, the practical limit depends on your device's memory. Most users can process files with tens of thousands of rows smoothly.
Do you store uploaded data?
No. All data processing occurs locally in your browser. We never see, store, or transmit your data to any server.
Can I convert JSON to CSV if the structure is nested?
Yes. Our Data Converter flattens nested JSON objects into dot-notation columns (e.g., user.name) for clean tabular export.