Large Dataset Processing Tool

Process millions of rows, with loading, chunking, and export in one app

Process Millions of Rows in One Application

Handling a large dataset from start to finish, getting it loaded, breaking it into pieces, and delivering those pieces to wherever they need to go, shouldn't require juggling several different tools, one for loading, another for splitting, and a third for format conversion.

Million by Million Rows Copier processes millions of rows within a single application covering the whole workflow. Load your data by pasting with Ctrl+V or loading a file in any of 33 supported formats, and everything from that point forward, chunking, clipboard delivery, and disk export, happens in the same app.

Copy Next Chunk handles the piece-by-piece processing for manual clipboard pastes into a destination, while Export Everything As covers a complete, one-time processing pass that writes the full dataset to disk without any manual steps.

Six output formats, CSV, XLSX, JSON, SQL, TSV, and XML, mean processing can include format conversion as part of the same pass, so a dataset loaded as one format can come out in a completely different one without a separate conversion tool.

Because everything runs through the same SQLite-backed storage and background-threaded processing, the whole workflow, loading, chunking, converting, and exporting, stays consistent and responsive regardless of which combination of steps your specific job needs.

Everything runs locally on your PC, aside from a one-time license check. Loading, chunking, and exporting all happen offline, with your dataset never uploaded anywhere during processing. Data analysts and engineers moving large extracts between tools, database administrators handing off query results, finance and accounting teams transferring big ledgers, operations and reporting staff assembling data from many sources, and anyone who has ever tried to paste more rows into Excel than it was willing to accept, all use the same underlying workflow. Virtual rendering keeps the loaded-data view smooth even at the upper end of the app's capacity, and every worker thread runs its own SQLite connection in WAL mode, so nothing here depends on your PC having an unusual amount of memory to spare.

Million by Million Rows Copier

Million by Million Rows Copier - main window
App Screenshots
Home Screen - Before Loading Data
Load Controls - Paste or Load From File
Choosing an Output Folder
Chunk Size and Header Row Options
Auto-Save Format Checkboxes
Loading a Large Dataset - Progress Bar
Export Everything as pop-up
Help & Guide
Loaded Data
Enlarged application screenshot
How to Process Millions of Rows in One App
  1. Install Million by Million Rows Copier on your Windows PC.
  2. Paste your data with Ctrl+V or load a file.
  3. Click Start Copying Out to begin processing.
  4. Choose Copy Next Chunk or Export Everything As for your workflow.
  5. Set your desired output format if converting.
  6. Process through the dataset using your chosen method.
  7. Review the processed output.
  8. Check your output folder for the final results.
  9. Use Re-copy Current Chunk if your clipboard gets overwritten mid-paste.
  10. Click Open Output Folder to review everything you've saved so far.
Why Use This Large Dataset Processing Tool
  • Loading, chunking, converting, and exporting in one application
  • No need to juggle separate tools for different processing steps
  • Six output formats built into the same processing pass
  • Copy Next Chunk and Export Everything As cover different workflows
  • SQLite-backed storage keeps the whole workflow consistent
  • Handles datasets up to 50,000,000 rows total
  • Runs fully offline aside from a one-time license check
  • One-time purchase for Windows, with Gumroad license activation
  • Choose your own output folder, or use the default under My Documents
  • Works with files on local drives, external drives, and network shares
Frequently Asked Questions

Do I need separate tools for loading, splitting, and converting?

No, all of that happens within the same application, from loading your data to producing chunked or exported output in your chosen format.

Can I convert formats as part of the processing workflow?

Yes, since output format is a separate choice from input format, processing can include converting to any of six available formats.

Which processing approach should I use, chunking or full export?

Use Copy Next Chunk if you need to manually paste pieces into a destination application; use Export Everything As if you just need the complete dataset written to disk.

Does this tool handle the entire process from raw data to final files?

Yes, from loading raw pasted or file-based data through to final chunked or exported output files, the whole process happens within this one application.

Does this work on both Windows 10 and Windows 11?

Yes, Million by Million Rows Copier is built and tested for both Windows 10 and Windows 11.

Is my data safe when using this tool?

Yes, all processing happens locally on your PC; no data is ever uploaded, so proprietary or sensitive records stay fully under your control.

Where do saved chunks and exports go by default?

A default output folder under My Documents is set automatically at startup, though you can choose a different folder before loading begins.

Can I use this on files stored on an external or network drive?

Yes, files on local drives, external drives, or mapped network shares all load the same as any local file.

What happens if the app is closed partway through a session?

Each chunk is saved to disk automatically the moment it's copied, so a closed app or crash never loses more than the chunk that was in progress.

Is there a trial version available before buying?

Check the product page on turbo-soft.com for current trial availability and details.

Ready to process your millions of rows in one application, fully offline?

Related guides and tools

This guide is part of TurboSoft’s large data splitting resources. Turbo Large Data Splitter handles all of these tasks offline on Windows.

Get Turbo Large Data Splitter →