Best AI for extracting data from text

If you are building anything on an AI, this is the job it does most: turn messy human text into a clean field. It is also the most objectively markable thing on the site — the JSON either parses or it does not — whether the values match is still judged. The suite covers missing fields, ambiguous dates, unit conversion, a fixed label set, and one prompt-injection attempt to see which models follow instructions hidden in the data they were told to treat as data.

updated 13 Aug 2026 · tested by Robert Prime · re-ranks automatically when a new run lands

“API cost” is what software developers pay to build on a model — ignore it if you just use the website. Each model answers each task once. Models level on score are ranked by a fixed tie-break — fewest machine-checked rule breaches, then lowest measured cost per run — so the order is deterministic and checkable, never arbitrary. Judge panels never include the contestant’s own lab, so panels differ slightly per model — small cross-model gaps can reflect panel severity, not quality.

{
  "name": "Amara Osei",
  "company": "Northgate Health",
  "role": "Head of clinical operations",
  "email": "a.osei@northgate-health.co.uk"
}

{"name": "Dr Amara Osei", "company": "Northgate Health", "role": "Head of Clinical Operations", "email": "a.osei@northgate-health.co.uk"}

```json
{
  "name": "Dr Amara Osei",
  "company": "Northgate Health",
  "role": "heads clinical operations",
  "email": "a.osei@northgate-health.co.uk"
}
```