DRDATARead
✦ Free tools · Open source · No account

Make your data work smarter.

Practical, free online tools to clean datasets, scan for inconsistencies, check data quality, calculate statistics, build quick charts and convert files. Simple enough to start in seconds.

Open free tools How your data stays private
DataRead quick viewSample data
RegionOrdersRevenue
North248₹84,500
South192₹71,200
West316₹96,800
756Rows checked
0Uploads to server
6Free tools
✓ Free to use
⌁ Runs in your browser
◇ No account required
⌘ MIT-licensed code
The free toolkit

Useful tools. No paywall.

Choose a tool to jump straight to the workspace. You can also load the sample dataset to try everything without preparing a file.

Your data workspace

Load a CSV, TSV, TXT or JSON file, or start with the built-in example.

Processed locally in this browser
No dataset loaded yet.

Apply cleaning steps to the dataset currently in memory. Export a cleaned copy when finished.

Cleaning changes the working copy in this browser. Your original file on your device is not modified.

Quality is discussed through the issues most often flagged in your dataset. The first priority is the single issue pattern with the highest count, followed by the other leading patterns, the columns most affected and the severity mix. A high count is a signal to investigate, not proof that every flagged value is wrong.

Load a dataset to beginRun a quality assessment to rank the most frequently flagged issues and identify the columns needing attention.

Detailed consistency findings and custom validation rules are part of this Quality & Consistency workspace. Findings are evidence-based checks, not proof that every unusual value is wrong.

Automatic checks include missing markers, exact duplicate rows, repeated ID-like values, formatting variants, mixed numeric/date values, invalid email/date entries, date-order conflicts, common numeric range checks and IQR outliers. The built-in sample deliberately includes example problems so you can see the scanner work. Statistical anomalies may be valid observations; review before changing data.
No scan results yetLoad a dataset, then run the consistency scan.

Custom validation rules

Add business-specific checks. Rules are applied only when you run the scanner and are not used to alter the source data.

No custom rules added. You can use the automatic checks without adding rules.

Detected issues

Waiting for a scanIssue details will appear here, including row, column, observed value, explanation and suggested action.

Select a numeric column to calculate descriptive statistics. Values that cannot be read as numbers are ignored.

No statistics yetLoad a dataset and select a numeric column.

Create a multi-chart dashboard from one dataset. Each chart uses the full width of the chart workspace (the space previously shared by two side-by-side charts). Complete cleaning and the consistency scan first, then choose which flagged record types to exclude before creating charts. Everything is drawn locally in your browser.

Prepare the data for charting

Run these steps in order. The chart filter becomes available after the working copy has been cleaned and the consistency scan has finished.

1. CleaningApply selected cleaning in CSV Cleaner.
2. Consistency scanRun the full scan in Quality & Consistency.
Run cleaning and consistency scan to unlock
No scan results available yet.
Charts are locked until cleaning and the consistency scan are complete.
0 of 12 charts
Chart guidance: column/bar compare categories; line/area show ordered patterns; pie/doughnut show parts of a whole; scatter examines relationships; histogram shows numeric distributions; box plot compares spread; stacked charts compare category composition; Pareto ranks contributors. Each chart occupies one full-width row. The selected issue filters exclude entire records from charts; they do not edit or delete source data. Use a meaningful category order for time-based line charts.
Load a dataset, choose a chart type and add your first chart.

Convert the current table to CSV or JSON. JSON output is an array of objects using the column names as keys.

Conversion preview

Load a dataset to see the converted output.

Create a masked working copy by replacing every value in one selected column. Export the result when ready.

Masking one column does not guarantee anonymity. Review the full dataset for indirect identifiers and sensitive combinations before sharing it.
No column has been masked in this session.

Dataset preview

No data loaded
Your workspace is readyChoose a file above or load the sample dataset to explore the tools.
Privacy first

Your files stay on your device.

The tools on this page are designed to run in your browser. The page does not send selected datasets or scan findings to a DataRead server or an external processing API.

⌂Local processing

Files are read by your browser. Cleaning, consistency checks, calculations, conversion and chart creation happen on your device.

⊘No account or upload

No sign-up, database, paid API or server-side dataset processing is needed to use these tools. Consistency scans run locally in your browser.

↧You control exports

Nothing is saved by this page as a cloud project. Download the result when you want to keep it.

Privacy note: your web host necessarily delivers the page files and may maintain ordinary website access logs. This page itself does not transmit the data file selected in the workspace.
Good to know

Frequently asked questions

Are these tools really free?

Yes. This page has no paid API, subscription, account system or server-side processing requirement. You can host it as a static website on a free hosting plan subject to that provider's limits.

Are my uploaded files sent online?

No. The file is read by your browser and processed in the current page session. It is not uploaded by this page. Avoid using a shared or untrusted device for confidential information.

Which files are supported?

CSV, TSV, plain-text delimited files and JSON arrays of objects. Very large files may be limited by the memory and performance of your device and browser.

What does the open-source licence cover?

The original page source, including the consistency scanner, is released under the MIT License included with this package. No third-party JavaScript libraries are required or bundled.

Does this replace professional analytics software?

No. These are lightweight utilities for common tasks. Use a validated analytical workflow for regulated, high-impact or business-critical decisions.

Can I use these tools on a phone?

The page is responsive and can be opened on a phone, but larger datasets are easier to inspect on a desktop or laptop.