Identify and auto-correct real-world spelling errors in context.

Typos in names and keywords can cause huge problems for text analysis systems, especially when working with noisy Tweets or social data. Our state-of-the-art spelling correction algorithms check your content for spelling errors and generate ranked contextual corrections, with results easily integrated into your app through a simple API call.

Try our free demo.

Spelling Correction
  • Detect typos in millions of real world entities like people, places and brands that aren't necessarily in the dictionary.
  • Identify incorrect homophones - words with the same pronunciation but different meanings (mail vs male).
  • Generate a confidence score for each correction suggestion using a deep analysis of the sentence context.