| name | benchmark |
| description | Use when user wants to Benchmark Tesseract tessdata model variants (fast vs best) for accuracy and speed tradeoffs |
Run the Tesseract model benchmark against the current fixture corpus:
uv run python scripts/benchmark_tessdata_models.py
Review the output for:
- Accuracy - per-model match rate against known item names
- Speed - per-item timing (ms)
- Recommendation - which model to use given the current threshold
After benchmarking, if switching tessdata models:
- Run
/corpus-replay to validate the new model against all failure corpus samples
- If
score_cutoff needs adjustment, see /threshold-change before committing
- Update any model references in
src/autoscrapper/ocr/tesseract.py