BI Developer Tool · Free · Browser-Only · No Upload

Data Profiler & Quality Inspector

Upload CSV, Excel or JSON files or connect any REST API and instantly get a full data quality report. Detect nulls, duplicates, type mismatches, outliers, patterns and column-level statistics in seconds.

Null DetectionDuplicate RowsType MismatchOutlier DetectionPattern RecognitionColumn StatsData Quality ScoreAPI InspectorSchema InferenceExport Report
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Drop your data file here or click to browse

Supports CSV, Excel (.xlsx, .xls) and JSON up to 100,000 rows processed entirely in your browser

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Free Data Profiler and Quality Inspector for BI Developers

What Is the TOOLBeans Data Profiler?

The TOOLBeans Data Profiler is a free browser-based tool designed for data analysts, BI developers and data engineers who need instant visibility into the quality and structure of their datasets. Upload a CSV, Excel or JSON file or connect any REST API endpoint and get a comprehensive data quality report in seconds without writing a single line of code. Everything runs in your browser. Your data is never uploaded to any server.

How to Use the Data Profiler

Using the tool takes less than 30 seconds. For file analysis, click the upload area or drag and drop your CSV, Excel or JSON file. The tool immediately reads the file, detects column types, counts null values, identifies duplicate rows and calculates a data quality score. No configuration required.

For API data, switch to the API tab, paste any REST endpoint URL, optionally add a Bearer token and click Analyze. The tool fetches the JSON response, flattens nested objects automatically and profiles the resulting dataset the same way as a file upload. Use the JSONPlaceholder demo endpoints to try it instantly without any API credentials.

What the Tool Detects and Reports

The profiler checks every column for null and empty values, unique value counts, fill rate percentage, dominant data type (integer, float, string, email, phone, URL, date, boolean, UUID), type mismatches where a numeric column contains string values, statistical outliers more than three standard deviations from the mean, and top five most frequent values per column. Numeric columns additionally show minimum, maximum, mean, median, standard deviation and sum. String columns show minimum, maximum and average character length. The duplicate row detector compares every row as a complete record and flags exact duplicates with the row numbers of both the original and the copy.

How It Makes Your Work Easier

Without a profiling tool, checking data quality in a large dataset means writing pandas scripts, using Excel formulas or manually scrolling through thousands of rows. The TOOLBeans Data Profiler replaces all of that with a single drag-and-drop action. BI developers connecting to data APIs can profile live endpoint responses before building dashboards to catch schema changes, unexpected nulls or type inconsistencies that would otherwise cause dashboard errors. Data analysts receiving files from clients can verify data quality in seconds before loading into a database or BI tool.

Frequently Asked Questions

Is the data profiler free?
Yes. The TOOLBeans Data Profiler is completely free with no usage limits, no account and no signup required.
Does my data get uploaded to a server?
No. All file processing runs entirely in your browser using JavaScript. Your data files never leave your device and are never transmitted to any server.
What file types does the tool support?
CSV files, Excel spreadsheets (.xlsx and .xls) and JSON files are all supported. For API data, any REST endpoint returning a JSON array or object with nested arrays can be profiled.
How large a file can I analyze?
The tool handles up to around 100,000 rows comfortably in most modern browsers. Larger files may slow down depending on your device memory.
What does the data quality score mean?
The quality score from 0 to 100 reflects the overall health of your dataset. It accounts for column fill rates, type mismatches, duplicate rows and the presence of statistical outliers. A score above 90 indicates excellent data quality. Below 50 indicates significant issues that should be resolved before analysis.
Can I export the analysis results?
Yes. Click the Export Report button to download a structured JSON report containing the full column-level analysis, detected issues, duplicate row indices and the inferred schema. The schema view can also be copied as JSON with one click.
Does it work with authenticated APIs?
Yes. Enter your Bearer token in the token field and the tool adds it as an Authorization header in the API request. Basic Auth and API key headers can be added manually if needed.
What is a type mismatch?
A type mismatch occurs when a column predominantly contains numbers but has some values that are text strings. For example, an ID column where most values are integers but a few rows contain the text NULL or N/A. These mismatches cause errors when loading data into databases or BI tools.