Maternity Case Record Digitisation (Synthetic Forms): leaderboard
Metric: Field-level accuracy (from 0-1, times 100; median over forms): share of form fields, empty fields included, whose normalised extraction exactly matches the ground truth, on four synthetic Maternity Case Records filled with simulated data in the same layout as the real registry form, one form image per call with the optimised extraction prompt and JSON template, temperature 0; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 17 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Flash Lite | 86 |
| 2 | Gemini 3.1 Pro (Preview) | 84 |
| 3 | GPT-5.4 | 80 |
| 4 | Gemini 2.5 Pro | 79 |
| 5 | Claude Sonnet 4.6 | 77 |
| 6 | GPT-5.2 | 76 |
| 7 | GPT-5.2 Pro | 76 |
| 8 | Gemini 2.5 Flash | 75 |
| 9 | Claude Opus 4.6 | 73 |
| 10 | GPT-4.1 | 67 |
| 11 | Grok 4.1 Fast (Reasoning) | 67 |
| 12 | Claude Haiku 4.5 | 62 |
| 13 | GPT-5 Mini | 60 |
| 14 | GPT-5 Nano | 46 |
| 15 | Qwen 2 VL 2B | 43 |
Interactive version: theaggregate.ai/benchmark?slug=maternity-case-record-digitisation-synthetic-forms · How It Works · Data refreshed daily, snapshot 2026-10-07.