Data Extraction

Pull structured data out of messy text — ingredients from a recipe, fields from a contract, attributes from a product description. The plumbing behind catalogue, intake, and processing pipelines.

100
Duration
6s
Input Tokens
1318
Output Tokens
349
Cost
$0.00
Context
Input
From the extracted description. Extra all info about the clothing
Expected output
{
  "top_piece": {
    "type": "shirt",
    "color": "blue",
    "size": "M"
  },
  "outerwear": {
    "type": "blazer",
    "color": "navy",
    "size": "L"
  },
  "bottom_piece": {
    "type": "chinos",
    "color": "beige",
    "size": "M"
  },
  "shoes": {
    "type": "brogues",
    "color": "brown",
    "size": "M"
  },
  "watch": {
    "material": "stainless steel",
    "strap_color": "black"
  },
  "hat": {
    "type": "flat cap",
    "color": "gray",
    "material": "wool"
  }
}
Model output
{
  "top_piece": {
    "type": "shirt",
    "color": "medium blue",
    "size": "M",
    "material": "linen"
  },
  "outerwear": {
    "type": "blazer",
    "color": "navy",
    "size": "L",
    "material": "wool"
  },
  "bottom_piece": {
    "type": "chinos",
    "color": "medium beige",
    "size": "M",
    "material": "cotton twill"
  },
  "shoes": {
    "type": "brogues",
    "color": "brown",
    "size": "M",
    "material": "leather"
  },
  "watch": {
    "material": "stainless steel",
    "strap_color": "black"
  },
  "hat": {
    "type": "flat cap",
    "color": "gray",
    "material": "wool"
  }
}