Extract Excel Columns at
~23,000 Rows Per Second
200,000 rows extracted in ~9.5 seconds. Multi-sheet support with row filtering, column renaming, and data type control — all in your browser. Files never leave your machine.
Tool Speed Comparison
| Tool | Speed (rows/sec) | 100K Rows | 1M Rows | Upload Required |
|---|---|---|---|---|
Python (pandas) | 35,000 | 2.8s | 28s | None |
SplitForge | 23,000 | 4.0s | — | None |
VBA Macro | 8,000 | 12.5s | 125s | None |
Cloud Tools | 2,200 | 45s* | 200s* | Required |
Excel (manual) | 800 | 5+ min | N/A | None |
SplitForge vs Python/pandas: what actually matters
On raw throughput, pandas is faster — if you can write Python, install the libraries, and are comfortable running scripts on your own machine. For a developer inside a data pipeline, that's the right tool.
SplitForge is for everyone else, and for everything that isn't raw speed. No install — it runs in any browser. No code — anyone can use it. And your file never leaves your device: extraction runs entirely client-side, so nothing is uploaded. For sensitive files, that privacy matters more than a few seconds. (SplitForge's ~23,000 rows/sec is measured, July 2026; the competitor figures are approximate/typical, not independently benchmarked.)
* Cloud tool times include upload duration on a 500 Mbps connection. Python times reflect DataFrame processing only, no install overhead. Excel (manual) reflects human interaction time. Results vary ±15–20% by hardware and browser.
Scalability Across File Sizes
Processing time by file size, across three operation modes. Test config: Chrome (Headless 127), Windows 11, 64GB RAM, dev machine (Alder Lake class), July 2026. Results vary ±15–20% by hardware.
| File Size | Cols | Standard | With Filters (3) | Multi-Sheet (3) | Speed |
|---|---|---|---|---|---|
| 1K rows | 8 | <0.1s | <0.1s | <0.1s | ~23,000/s |
| 10K rows | 8 | 0.4s | 0.5s | 0.6s | ~23,000/s |
| 50K rows | 8 | 2.1s | 2.4s | 2.7s | 23,900/s |
| 100K rows | 8 | 4.0s | 4.6s | 5.2s | 25,000/s |
| 200K rows | 8 | 9.5s | 10.9s | 12.4s | 21,000/s |
Feature Overhead Breakdown
Overhead measured against standard extraction baseline (100K rows, 10 columns).
Time Saved Calculator
Limitations & Workarounds
We believe in honest capability disclosure. Here is where SplitForge Excel Column Extractor has real limits — and what to do about them.
Performance FAQs
Extract Your Columns in Seconds
No Excel. No Python. No uploads. Just pick your columns and download.