ReceiptBench - Normalization: leaderboard
Metric: Formatting and normalization fields (dates as YYYY-MM-DD, totals as decimals), field-level F1 (times 100, so 0-100) on the 2,000-image held-out test set of ReceiptBench (real travel and expense receipts and invoices, 19 annotated fields), one-shot schema prompt with JSON output; fields are scored by exact, numeric or structured-list matching with a Qwen3-4B semantic judge when string similarity falls below the match threshold; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro | 90.86 |
| 2 | GPT-5 | 87.43 |
| 3 | InternVL3-78B | 84.44 |
| 4 | InternVL3-8B | 76.61 |
Interactive version: theaggregate.ai/benchmark?slug=receiptbench-normalization · How It Works · Data refreshed daily, snapshot 2026-10-07.