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Benchmarking Process

Overview

Our benchmarking process is designed to provide fair, comprehensive, and reproducible performance measurements across all text extraction frameworks.

Test Execution

  1. Warm-up Phase: Each framework undergoes a warm-up iteration to eliminate cold-start effects
  2. Multiple Iterations: Tests are run multiple times to ensure statistical significance
  3. Isolation: Each framework is tested in isolation to prevent interference
  4. Cache Clearing: Framework caches are cleared between tests for fairness

File Selection

  • All Formats: Each framework tests against all its supported file formats
  • All Sizes: Files from <100KB to >50MB are tested
  • Real-world Documents: Test suite includes actual documents, not synthetic data

Resource Monitoring

  • CPU Usage: Tracked at 50ms intervals
  • Memory Usage: RSS (Resident Set Size) monitored continuously
  • Timeout Protection: 300-second timeout per file extraction
  • Error Handling: Failures are recorded with detailed error messages

Quality Assessment

Quality assessment is enabled by default, measuring: - Text completeness - Extraction accuracy - Metadata preservation - Format handling

Reproducibility

All benchmarks are: - Version controlled - Environment documented - Seed controlled for randomization - CI/CD automated