All-in-One Data File Conversion Tool

DataFileConverter is a data conversion tool built for data format conversion: convert data between CSV, JSON, Excel, SQL and 10+ formats, one file or millions of rows at a time. Batch conversion, 100% offline security, cross-platform support for Windows, Mac and Linux. One-time payment - no recurring fees.

🗄️ 10+ Supported Formats

⚡ Millions of Rows/Minute

🔒 Local Secure Processing

🌍 Windows/Mac/Linux

⚙️ CLI + Scheduled Tasks

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Powerful Features for Every Need

Multiple Format Support

Convert between CSV, JSON, Excel, SQL, XML, TXT and more - over 10+ data formats supported.

Batch Conversion

Process hundreds of files at once with batch mode, saving you hours of manual work.

100% Offline Security

All conversions happen locally on your device - no data uploads, no privacy risks.

Cross-Platform

Works seamlessly on Windows, macOS and Linux - use your favorite operating system.

Command Line Support

Automate conversions with command line interface for advanced users and scripting.

Preview Before Convert

Preview data and adjust settings before conversion to ensure perfect results every time.

What Our Users Say

"Saved me hours of manual work! Batch converting 500+ CSV files to JSON was done in minutes, and the offline feature gives me peace of mind with sensitive client data. Worth every penny of the one-time fee."

Michael Peterson

Data Analyst | Financial Services

"As a DevOps engineer, I needed a tool that works across Windows and Linux servers. The CLI integration is flawless - I've automated all our data conversion tasks and cut down on manual intervention by 90%."

Emily Rodriguez

DevOps Engineer | Tech Startup

"The offline conversion is a game-changer for our healthcare organization. We can convert sensitive patient data without ever uploading it to the cloud. The support team is also incredibly responsive."

William Lee

IT Manager | Healthcare Provider

Supported Data Formats

Source Format	Target Format	Key Features
CSV (Comma Separated Values)	JSON, Excel, SQL, XML, HTML	Column mapping, encoding support
JSON (JavaScript Object Notation)	CSV(TSV), Excel, SQL, XML, HTML	Nested JSON parsing, array support
Excel (XLS/XLSX)	CSV(TSV), JSON, SQL, XML, HTML	Sheet selection, cell range filtering
SQL (MySQL/PostgreSQL/SQL Server/Oracle/...)	CSV(TSV), JSON, Excel, XML, HTML	SQL table parsing, batch export
HTML (HyperText Markup Language)	CSV(TSV), JSON, Excel, XML, SQL	HTML table parsing, batch export
XML (Extensible Markup Language)	CSV(TSV), JSON, Excel, SQL, HTML	Nested elements parsing, attribute extraction
RDF (Resource Description Framework)	CSV(TSV), JSON, Excel, SQL, HTML	TTL(Turtle), TriG, N-Triples, N-Quads, N3(Notation3), RDF/XML, RDF/JSON, JSON-LD

Popular Conversion Tasks

Excel to JSON

Turn a spreadsheet into JSON in a few clicks: choose the sheet, preview the data, and export. Nested data is parsed into JSON, and hundreds of files can be converted at once with batch mode. See Excel to JSON or read the step-by-step guide.

CSV to XML

Move data between flat files and XML without writing a script. CSV to XML and XML to CSV keep the column names and structure, and nested elements or attributes can be flattened into columns. Guides: CSV to XML, XML to CSV.

Merge many JSON or XML files into one file with DataFileConverter

Merge JSON and XML Files

Combine a folder of JSON, XML, CSV or Excel files into a single output file with one header and one schema - handy for monthly exports, log fragments and sharded data. Start with merge JSON files or merge XML files, or read merging JSON into one CSV.

Convert RDF, TTL and JSON-LD to CSV with DataFileConverter

RDF and JSON-LD

Most converters stop at CSV and JSON. DataFileConverter also reads semantic formats - Turtle (TTL), TriG, N-Triples, N-Quads, N3, RDF/XML, RDF/JSON and JSON-LD - and turns them into a flat table you can open in Excel or load into a database. Start with RDF to CSV, or read the guides for RDF, TTL, N-Triples and N-Quads.

Batch converting a folder of exports to JSONL with DataFileConverter

JSONL for an AI pipeline

An embedding or fine-tuning pipeline reads JSONL - one object per line. Turn a folder of Excel, CSV, JSON or XML exports into a single line-delimited file, in batch and on your own machine. No embedding or chunking - just the data, shaped for the next stage.

Frequently Asked Questions

Is DataFileConverter really offline?

Yes! All data conversion processes run locally on your computer. We never upload your files to any server, ensuring complete data privacy and security. No internet connection is required for core conversion features.

Do I need to pay for updates?

No. All minor version upgrades (e.g., from 1.0 to 1.5) are completely free of charge. For major version upgrades (e.g., from 1.0 to 2.0), you'll be eligible for a discount of 30% or more off the full price, rather than paying the full retail cost.

Can I automate conversions with scripts?

Absolutely! DataFileConverter provides a full command line interface (CLI) that allows you to integrate conversion tasks into your scripts, batch files, or automation workflows. We provide detailed CLI documentation and example scripts for common use cases.

What is the maximum file size supported?

There is no hard limit on file size - the only constraint is your system's available RAM and storage. We have tested files up to 20GB on systems with sufficient memory. For very large files, we recommend using the batch mode with chunk processing to optimize performance.

Does it support nested JSON/XML structures?

Yes! DataFileConverter can parse and flatten nested JSON objects and XML elements. You can customize how nested structures are converted (e.g., dot notation, nested columns, or separate tables) in the advanced settings panel.

Is there a money-back guarantee?

Yes. We offer a 30-day no-questions-asked money-back guarantee. If you're not satisfied with the product for any reason, simply contact our support team to receive a full refund. The free trial allows you to test all features before purchasing.

Who uses data conversion software?

Data analysts convert Excel workbooks and CSV exports into JSON or SQL for the next step of a pipeline. Developers convert fixtures, test data and API dumps between formats without writing throwaway code. DBAs and data engineers move a query result or a table into a flat file, and load a flat file back into a database. Operations and support teams split, merge or re-encode the files that arrive from partners and legacy systems. Conversion runs offline, so files with customer, financial or patient data never leave the machine.

All-in-One Data File Conversion Tool