Docs/APIs/Text Lemmatizer

Text Lemmatizer

Lemmatize text

OperationalCredits 1 per callp50 468msText ProcessingStar

Overview

Lemmatizer works by analyzing the text provided and lemmatizing it. It uses advanced algorithms to lemmatize the text and returns the lemmatized text.

Endpoint

One host, one path per API. The block below shows this call in four languages; every one of them is the same HTTP request. Making requests covers the timeouts, retries and parameter rules that apply to all of them. The SDKs wrap the same call in a typed client.

POSThttps://api.apiverve.com/v1/lemmatizer
curl -X POST https://api.apiverve.com/v1/lemmatizer \
  -H "x-api-key: your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
  "text": "The cats ran from door to door"
}'
const res = await fetch('https://api.apiverve.com/v1/lemmatizer', {
  method: 'POST',
  headers: {
    'x-api-key': 'your_api_key_here',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "text": "The cats ran from door to door"
}),
});

if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);

const { data } = await res.json();
console.log(data);
import requests

res = requests.post(
    "https://api.apiverve.com/v1/lemmatizer",
    headers={"x-api-key": "your_api_key_here"},
    json={
    "text": "The cats ran from door to door"
},
    timeout=15,
)
res.raise_for_status()

print(res.json()["data"])
package main

import (
	"fmt"
	"io"
	"net/http"
	"strings"
)

func main() {
	body := strings.NewReader(`{
  "text": "The cats ran from door to door"
}`)
	req, _ := http.NewRequest("POST", "https://api.apiverve.com/v1/lemmatizer", body)
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("x-api-key", "your_api_key_here")

	res, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer res.Body.Close()

	out, _ := io.ReadAll(res.Body)
	fmt.Println(string(out))
}

Replace your_api_key_here with the key from your dashboard. When the inputs arrive as a list rather than one at a time, batch requests run up to 200 of them through this same API in a single call.

Authentication

Send your key in the x-api-key header. That is the only auth step — there is no token exchange and no per-endpoint scope to configure. Authentication covers creating, rotating and revoking keys.

401 is the only auth verdict

A 401 means the key is missing, invalid or expired. A 403 means the key is valid but not permitted here — blocked by a key restriction or an IP allow-list. Running out of credits is a 429.

Parameters

Sent as JSON in the request body. Premium parameters are accepted on every plan but only take effect on plans that include them.

ParameterTypeDescription
textRequiredstringThe text to lemmatize

Response

Every API returns the same three top-level keys, so one response handler covers your whole integration: status, error and data. Only data changes shape. Response format covers the envelope, the other output formats and how premium fields are withheld.

Sample response
{
  "status": "ok",
  "error": null,
  "data": {
    "found": 3,
    "lemmas": {
      "cat": 1,
      "ran": 1,
      "door": 2
    }
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

FieldTypeExampleDescription
foundnumber3
lemmasPremiumobject{...}Each word in the text mapped to its lemma, keyed by the word as it appeared
catPremiumnumber1
ranPremiumnumber1
doorPremiumnumber2

Errors

Read the HTTP status first, then error for the specific reason. The body names the parameter that has to change. Error handling covers the full status list and which of them are worth retrying.

StatusMeaningWhat to do
400Input was rejectedRead error; it names the parameter.
401Key missing or invalidCheck the header name and the key value.
403Key valid, but not permittedA key restriction or IP allow-list; see key scoping.
429Rate limited, or out of creditsRead error to tell them apart; see rate limits.

Use cases

Text Analysis
Use the Lemmatizer API to lemmatize text for text analysis. Use the data to analyze language, extract insights, and improve comprehension
Language Processing
Lemmatize text by using the Lemmatizer API for language processing. Use the data to analyze grammar, categorize words, and enhance understanding
Content Generation
Use the Lemmatizer API to lemmatize text for content generation. Use the data to create variations, improve readability, and enhance engagement
Text Mining
Lemmatize text by using the Lemmatizer API for text mining. Use the data to extract information, analyze trends, and discover patterns

Other ways to use Text Lemmatizer

Set up Text Lemmatizer on APIVerve, or reach the same source a different way. Your APIVerve account and credits work on all of them — one key, one balance.

Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKitReference →
Use it in Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheetsReference →

More in Text Processing:

Was this page helpful?