intelligent-utilities/fix-encoding-artifacts

Fix text with encoding artifacts

Public

4 runs

Run with an API

Pricing

Playground API Examples README

Run intelligent-utilities/fix-encoding-artifacts with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
text	string		Text that needs encoding issues fixed

{
  "type": "object",
  "title": "Input",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "title": "Text",
      "x-order": 0,
      "description": "Text that needs encoding issues fixed"
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output"
}

Example API response

View prediction

('The café was bustling with activity. María ordered a café au lait while '
 'reading about Naïve Bayes algorithms on her laptop. The menu featured crêpes '
 'with fresh fruit — strawberries, pears, and exotic açaí berries.\n'
 '"This is absolutely délicieux!" exclaimed the customer at table №7. The '
 'waiter, whose name tag read "Ándres", smiled and said "¡De nada!"\n'
 'The newspaper headline read: “Local Restaurant Wins Award” followed by a '
 'subtitle mentioning prices ranging from $5–$25. There was also a strange '
 'symbol: ™ next to the specials board.\n'
 'On the wall, graffiti showed: ♥ + ♫ = ♦ along with some garbled text that '
 'looked like: áéíóú and ÑÒÓÔÕÖÙÚÛÜÝß.\n'
 'The WiFi password was written as: "Café2024!" but it should have been '
 '"Café2024!"\n'
 'At the bottom of the receipt, there was a notice: "Thank you for visiting '
 'us… see you again soon! ★★★"')