ExploreMyData

This browser-based data analysis tool lets you open data files directly in a browser tab and work with them without uploading the underlying files to a server. It supports CSV, Excel, JSON, Parquet, PDF, XML, Word, SQLite, DuckDB, Arrow, Avro, and common archive formats, with support for files up to 1 GB.

The workflow goes beyond simple file viewing. You can run DuckDB SQL, join or append multiple files, inspect data quality, create charts, convert between formats, and export results without leaving the browser. Because processing and storage stay local, it is suited to analysts, operators, developers, and anyone working with private exports, reports, or data that arrives in inconvenient formats.

Key Features

SQL Directly in the Browser

Run real DuckDB SQL against the data you open in the tab.

The SQL workflow supports:

• Joins
• CTEs
• Window functions
• Aggregations
• Queries across opened data files

This makes the tool useful for actual analysis rather than simply inspecting spreadsheet rows.

Broad File Format Support

Open a wide range of structured and document-based data formats from one browser workspace.

Supported formats include:

• CSV
• Excel
• JSON
• Parquet
• PDF
• XML
• Word
• SQLite
• DuckDB
• Arrow
• Avro
• Common archive formats

Files can be up to 1 GB, making the tool suitable for many larger exports and reports that are cumbersome to handle with basic browser utilities.

File Conversion

Convert opened data into other formats without moving the workflow into another application.

Export options include:

• CSV
• Excel
• JSON
• Parquet
• PDF
• HTML
• DuckDB

This is useful when a file arrives in one format but needs to be delivered or analyzed in another.

PDF Table Extraction

Extract tables from PDF documents, including scanned PDFs.

This makes the tool useful for turning report-style documents into structured data that can then be inspected, analyzed, or exported.

Multi-File Analysis

Open several files as separate tabs and work with them together.

You can:

• Join multiple files
• Append datasets
• Compare related exports
• Move between files without opening separate applications

This provides a practical workflow for combining data from different sources.

Data Profiling

Inspect the structure and quality of individual columns before working with the data.

Profiling tools show information such as:

• Data types
• Null counts
• Value ranges
• Histograms
• Outliers

This helps identify unexpected values and data-quality issues before analysis or export.

Pipeline History

Data transformations can be kept as a sequence of steps.

You can:

• Stack processing steps
• Reorder steps
• Disable individual steps
• Remove steps later

This makes exploratory cleanup easier to revise instead of forcing you to repeat the entire workflow whenever an earlier decision changes.

Local Browser Storage

Files, pipelines, views, and charts can be kept in the browser.

The local-first approach means your working data does not need to be uploaded to a remote service simply to inspect or transform it.

Paste Data or Open Direct Links

The tool can also work with data that does not start as a local file.

You can paste rows directly or provide links to CSV files and published Google Sheets.

If a remote server blocks cross-origin access, the tool reports the restriction rather than routing the data through a third party.

Local or User-Controlled AI

AI functionality can use your own API key or a local model.

This allows AI-assisted workflows while keeping the underlying file content in the browser, giving you control over how AI is connected to your data.

Built For Analysts & Data-Heavy Workflows

This browser-based data workspace is useful for people who regularly receive exports, reports, spreadsheets, or structured files and need to inspect or transform them quickly.

It is particularly suited to:

• Data analysts working with varied file formats
• Operations teams handling recurring exports and reports
• Developers inspecting structured data and databases
• Business users who need quick transformations without a full data stack
• Privacy-conscious users working with sensitive local files

Common Use Cases

• Analyze CSV exports: Open an export and query it with DuckDB SQL.
• Combine datasets: Join or append multiple files in one browser workspace.
• Inspect reports: Extract tables from PDFs and analyze the resulting data.
• Clean datasets: Build repeatable transformation pipelines and revise individual steps.
• Profile data quality: Check types, missing values, ranges, histograms, and outliers.
• Convert files: Move data between CSV, Excel, JSON, Parquet, DuckDB, and other formats.
• Inspect databases: Open SQLite or DuckDB files directly in the browser.
• Prepare data for sharing: Export processed datasets to the format another person or system requires.
• Work with private files: Analyze local data without uploading the source files.
• Quick data exploration: Paste rows or open a direct CSV link for immediate inspection.

Why It Matters

Working with data often means switching between spreadsheet applications, SQL tools, PDF extractors, conversion utilities, and charting software. That becomes especially inconvenient when the data arrives in different formats or contains information that should not be uploaded to another service.

This tool brings those steps into a browser-based workspace while keeping the core data workflow local. You can open a file, profile its columns, clean or transform it, query it with DuckDB, combine it with other files, create charts, and export the result without moving between multiple applications.

The local-first design is particularly useful for private exports and reports. Files remain in the browser, while AI features can be connected through your own key or a local model rather than requiring the data to be sent through a third-party processing layer.

Work With Data Directly in Your Browser

Open a file, inspect its structure, run SQL, combine datasets, extract tables, build charts, and convert the result without uploading the underlying data. With support for files up to 1 GB and formats ranging from CSV and Excel to Parquet, SQLite, DuckDB, PDF, and more, this browser-based workspace provides a practical local environment for everyday data analysis and transformation.