Text Lemmatizer

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.

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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"
}'

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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);

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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"])

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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.

Parameters

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

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.

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{
  "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.

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.

Use cases

Search Query Normalization

Search engines convert user queries into root words to match plural or conjugated variations against indexed product titles.

Customer Feedback Clustering

Group incoming support tickets by topic after reducing verbs and nouns to base forms for cleaner text classification.

Vocabulary Learning Systems

Language learning platforms detect inflected verb forms across reading exercises and map them back to headwords in student flashcards.

SEO Content Auditing

Before scanning articles for keyword density, content marketing platforms strip grammatical suffixes to measure true term frequencies across drafts.

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.

Related

More in Text Processing: