POST /v1/nlp/lemmatize

Lemmatiser

'Running' becomes 'run', so counts group the way a reader would expect.

Reduce words to their base form now No key, no code — 3 credits either way.

curl -X POST "$DOATHING_API/v1/nlp/lemmatize" \
  -H "x-api-key: $DOATHING_KEY" \
  -H "content-type: application/json" \
  -d '{"text": "She was running faster than the other runners."}'

'Running' becomes 'run', so counts group the way a reader would expect.

Reduce tokens to WordNet lemmas or Porter stems, optionally part-of-speech aware.

Input

Send either a text string or a file object. A file is decoded as UTF-8 and must be one of text/plain, text/markdown, text/html, text/csv.

Response

The result carries your remaining balance alongside it, so you can track spend without a second call.

{
  "text": "she be run faster than the other runner",
  "method": "wordnet",
  "changed": 4,
  "request_id": "37f01edb-0163-42a1-ac51-0acaef979800",
  "credits_remaining": 96
}

Cost

3 credits per call, whether it is run from the site or from the API — the credential differs, the price does not. A new account starts with 20 credits.

A rejected request still costs a credit: the authorizer decrements before the tool validates. A call rejected for a missing or invalid key is free.

Parameters

Generated from the endpoint’s own validation, so this is exactly what it accepts. A body field goes at the top level; an option goes inside options.

NameInTypeDefaultNotes
methodoptionsstring"wordnet"wordnet for dictionary lemmas, porter for stems. one of wordnet, porter
pos_awareoptionsbooleantrueTag first, so 'running' lemmatises to 'run' rather than staying a noun.
strip_punctuationoptionsbooleanfalse