Excel Sheet Extractor
Performance Benchmarks
17,572 rows/second single-sheet. 8,439 rows/second multi-sheet. Extract 100,000 rows in 5.7 seconds — entirely in your browser with zero uploads.
Throughput by Dataset Size
Extraction Throughput (rows/second)
Lower values indicate better performance (faster processing)
Detailed Benchmark Results
| Dataset | Single-Sheet Speed | Multi-Sheet Speed | Time | Notes |
|---|---|---|---|---|
| 10,001 rows | ~3,770 rows/sec | N/A | 2.65s | Startup overhead visible at small sizes — SheetJS decompression dominates |
| 100,000 rows | ~17,572 rows/sec | ~8,439 rows/sec | 5.69s | Peak single-sheet throughput. Multi-sheet: 5 sheets, 100,005 total rows in 11.85s |
| 100K rows (2GB file) | ~16,000–17,000 rows/sec | N/A | — | Large file (~2GB) — throughput stable. Memory pressure increases above 1GB. |
Tested February 2026 · Chrome (stable) · Windows 11 · Intel i7-12700K · 32GB RAM · Results vary by hardware, browser, file format, and enabled transformations (±20–30%)
3 measured data points + 12 calculated extrapolations. Model: time = 2.312s startup + rows/29,605 rows/sec. Methodology in accordion below.
How Transformations Affect Speed
| Transformation | Throughput | Overhead vs Baseline |
|---|---|---|
| No transformations (baseline) | ~17,572 rows/sec | Baseline |
| Skip first N rows | ~17,200 rows/sec | ~2% overhead |
| Remove empty rows | ~16,500 rows/sec | ~6% overhead |
| Remove empty columns | ~16,900 rows/sec | ~4% overhead |
| Trim whitespace | ~16,700 rows/sec | ~5% overhead |
| Column filtering (keep/remove) | ~17,000 rows/sec | ~3% overhead |
| Row filtering (regex operator) | ~14,800 rows/sec | ~16% overhead — regex is CPU-intensive |
| All transformations combined | ~13,500 rows/sec | ~23% overhead combined |
| JSON export (vs CSV) | ~14,200 rows/sec | ~19% overhead — object construction per row |
ROI Calculator
Baseline: ~5 minutes per sheet via Excel manual Save As (open workbook → navigate to sheet → File > Save As → choose format → confirm dialog → rename file). SplitForge processes the entire batch in ~30 seconds regardless of sheet count.
Benchmark Methodology
When Sheet Extractor Is Not the Right Tool
No tool is perfect for every use case. Here's where browser-based extraction falls short and what to use instead.
Sheet Extractor has no API or CLI. It requires a browser session and human interaction to operate — it cannot run headlessly or be triggered programmatically.
SheetJS cannot decrypt password-protected .xlsx files. The encryption is enforced at the file format level and requires the password to open.
Each session handles one workbook. There is no multi-file batch mode — files must be processed one at a time.
Browser memory limits restrict processing to ~1–2GB practically. The 2GB hard upload limit is enforced before processing begins.
Row filtering supports one condition per extraction. Multi-column compound logic (e.g., Status=Active AND Region=West) is not supported in a single pass.
Frequently Asked Questions
How accurate are the benchmark numbers?
Why is multi-sheet processing slower than single-sheet?
Why is performance lower on small files (10K rows)?
How does .xls compare to .xlsx performance?
How does Excel's manual Save As compare for performance?
What is the maximum file size that can be processed?
Benchmarks last updated: February 2026. Re-tested quarterly and after major SheetJS or architecture changes.