Text Lemmatizer API

Lemmatizer is a simple tool for lemmatizing text. It returns the lemmatized text.

This is a Python API Wrapper for the Text Lemmatizer API

Installation

Using pip:

pip install apiverve-textlemmatizer

Using pip3:

pip3 install apiverve-textlemmatizer

Configuration

Before using the lemmatizer API client, you have to setup your account and obtain your API Key. You can get it by signing up at https://apiverve.com

Quick Start

Here's a simple example to get you started quickly:

from apiverve_textlemmatizer.apiClient import LemmatizerAPIClient

# Initialize the client with your APIVerve API key
api = LemmatizerAPIClient("[YOUR_API_KEY]")

query = { "text": "The cats ran from door to door" }

try:
    # Make the API call
    result = api.execute(query)

    # Print the result
    print(result)
except Exception as e:
    print(f"Error: {e}")

Usage

The Text Lemmatizer API documentation is found here: https://docs.apiverve.com/ref/lemmatizer. You can find parameters, example responses, and status codes documented here.

Setup

# Import the client module
from apiverve_textlemmatizer.apiClient import LemmatizerAPIClient

# Initialize the client with your APIVerve API key
api = LemmatizerAPIClient("[YOUR_API_KEY]")

Perform Request

Using the API client, you can perform requests to the API.

Define Query

query = { "text": "The cats ran from door to door" }

Simple Request

# Make a request to the API
result = api.execute(query)

# Print the result
print(result)

Example Response

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

Error Handling

The API client provides comprehensive error handling through the LemmatizerAPIClientError exception. Here are some examples:

Basic Error Handling

from apiverve_textlemmatizer.apiClient import LemmatizerAPIClient, LemmatizerAPIClientError

api = LemmatizerAPIClient("[YOUR_API_KEY]")

query = { "text": "The cats ran from door to door" }

try:
    result = api.execute(query)
    print("Success!")
    print(result)
except LemmatizerAPIClientError as e:
    print(f"API Error: {e.message}")
    if e.status_code:
        print(f"Status Code: {e.status_code}")
    if e.response:
        print(f"Response: {e.response}")

Handling Specific Error Types

from apiverve_textlemmatizer.apiClient import LemmatizerAPIClient, LemmatizerAPIClientError

api = LemmatizerAPIClient("[YOUR_API_KEY]")

query = { "text": "The cats ran from door to door" }

try:
    result = api.execute(query)

    # Check for successful response
    if result.get('status') == 'success':
        print("Request successful!")
        print(result.get('data'))
    else:
        print(f"API returned an error: {result.get('error')}")

except LemmatizerAPIClientError as e:
    # Handle API client errors
    if e.status_code == 401:
        print("Unauthorized: Invalid API key")
    elif e.status_code == 429:
        print("Rate limit exceeded")
    elif e.status_code >= 500:
        print("Server error - please try again later")
    else:
        print(f"API error: {e.message}")
except Exception as e:
    # Handle unexpected errors
    print(f"Unexpected error: {str(e)}")

Using Context Manager (Recommended)

The client supports the context manager protocol for automatic resource cleanup:

from apiverve_textlemmatizer.apiClient import LemmatizerAPIClient, LemmatizerAPIClientError

query = { "text": "The cats ran from door to door" }

# Using context manager ensures proper cleanup
with LemmatizerAPIClient("[YOUR_API_KEY]") as api:
    try:
        result = api.execute(query)
        print(result)
    except LemmatizerAPIClientError as e:
        print(f"Error: {e.message}")
# Session is automatically closed here

Advanced Features

Debug Mode

Enable debug logging to see detailed request and response information:

from apiverve_textlemmatizer.apiClient import LemmatizerAPIClient

# Enable debug mode
api = LemmatizerAPIClient("[YOUR_API_KEY]", debug=True)

query = { "text": "The cats ran from door to door" }

# Debug information will be printed to console
result = api.execute(query)

Manual Session Management

If you need to manually manage the session lifecycle:

from apiverve_textlemmatizer.apiClient import LemmatizerAPIClient

api = LemmatizerAPIClient("[YOUR_API_KEY]")

query = { "text": "The cats ran from door to door" }

try:
    result = api.execute(query)
    print(result)
finally:
    # Manually close the session when done
    api.close()

Customer Support

Need any assistance? Get in touch with Customer Support.

Updates

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Legal

All usage of the APIVerve website, API, and services is subject to the APIVerve Terms of Service and all legal documents and agreements.

License

Licensed under the The MIT License (MIT)

Copyright (©) 2026 APIVerve, and EvlarSoft LLC

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.