NLP API

NLP API

Enterprise grade "natural language processing" (NLP) tools with a simple, yet powerful API.
Free Plan $0.00 Monthly Subscribe
600 Requests / Monthly
Free for Lifetime
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Starter Plan $12.99 Monthly Subscribe
30,000 Requests / Monthly
Standard Support
Perform NLP tasks without complex formulas
Pre-trained statistical models
Ability perform NLP operations in 6 languages
Visualization capabilities
No background NLP know-how needed
Predictive modeling
Pro Plan $59.99 Monthly Subscribe
300,000 Requests / Monthly
Standard Support
Perform NLP tasks without complex formulas
Pre-trained statistical models
Ability perform NLP operations in 6 languages
Visualization capabilities
No background NLP know-how needed
Predictive modeling
Custom Plan Volume Monthly Contact Us
Any requests volume you need
Perform NLP tasks without complex formulas
Pre-trained statistical models
Ability perform NLP operations in 6 languages
Visualization capabilities
No background NLP know-how needed
Predictive modeling
NLP API Code Sample

Our NLP API provides these functionalities:

  1. Tokenizer: Segmenting text into words, punctuations marks etc. This is done by applying rules specific to each language. For example, punctuation at the end of a sentence should be split off – whereas “U.K.” should remain one token. Each Doc consists of individual tokens, and we can iterate over them:
  2. Visualizer: Visualizing a dependency parse or named entities in a text is not only a fun NLP demo – it can also be incredibly helpful in speeding up development and debugging your code and training process. There are two possible types of visualization. Dependency Parse and Entity Recognizer.The dependency visualizer, dep, shows part-of-speech tags and syntactic dependencies. The entity visualizer, ent, highlights named entities and their labels in a text.
  3. Lemmatization: Assigning the base forms of words. For example, the lemma of “was” is “be”, and the lemma of “rats” is “rat”.
  4. Similarity: This API is used to compare two texts, and make a prediction of how similar they are. Predicting similarity is useful for building recommendation systems or flagging duplicates. For example, you can suggest a user content that’s similar to what they’re currently looking at, or label a support ticket as a duplicate if it’s very similar to an already existing one.
  5. Named Entity Extraction: A named entity is a “real-world object” that’s assigned a name – for example, a person, a country, a product or a book title. spaCy can recognize various types of named entities in a document, by asking the model for a prediction. Depending on your language of choice results may differ. So you might consider trying it with different variations.
  6. Language Detection: Detects the human language of any given text

NLP API Reference

This API is organized around REST. Our API has predictable resource-oriented URLs, accepts form-encoded request bodies, returns JSON-encoded responses, and uses standard HTTP response codes, authentication, and verbs.

Just Getting Started?

Check out our development quickstart guide.

Authentication

NLP API uses API keys to authenticate requests. You can view and manage your API keys in the Accounts page.

Your API keys carry many privileges, so be sure to keep them secure! Do not share your secret API keys in publicly accessible areas such as GitHub, client-side code, and so forth.

All requests made to the API must hold a custom HTTP header named "apikey". Implementation differs with each programming language. Below are some samples.

All API requests must be made over HTTPS. Calls made over plain HTTP will fail. API requests without authentication will also fail.

Endpoints

Detects any given text's human language

Parameters

body (required)

Text to detect the language

Location: Body, Data Type: string

** A word enclosed with curly brackets "{ }" in the code means that it is a parameter and it should be replaced with your own values when executing. (also overwriting the curly brackets).
Returns

Below is a sample response from the endpoint


If you wish to play around interactively with real values and run code, see...

Lemmatization with ease.

Parameters

body (required)

Plain text body to process

Location: Body, Data Type: string

lang (optional)

Location: Query, Data Type: string

** A word enclosed with curly brackets "{ }" in the code means that it is a parameter and it should be replaced with your own values when executing. (also overwriting the curly brackets).
Returns

Below is a sample response from the endpoint


If you wish to play around interactively with real values and run code, see...

Named entity extraction from text, such as Person names and locations.

Parameters

body (required)

Plain text body to process

Location: Body, Data Type: string

lang (optional)

Location: Query, Data Type: string

** A word enclosed with curly brackets "{ }" in the code means that it is a parameter and it should be replaced with your own values when executing. (also overwriting the curly brackets).
Returns

Below is a sample response from the endpoint


If you wish to play around interactively with real values and run code, see...

Predicts the similarity between two texts

Parameters

body (required)

{"text1": "bla bla", "text2": "bla bbb"}

Location: Body, Data Type: string

** A word enclosed with curly brackets "{ }" in the code means that it is a parameter and it should be replaced with your own values when executing. (also overwriting the curly brackets).
Returns

Below is a sample response from the endpoint


If you wish to play around interactively with real values and run code, see...

Performs stemming algorithm for all tokens in the text

Parameters

body (required)

Plain text body to perform stemming algorithm

Location: Body, Data Type: string

** A word enclosed with curly brackets "{ }" in the code means that it is a parameter and it should be replaced with your own values when executing. (also overwriting the curly brackets).
Returns

Below is a sample response from the endpoint


If you wish to play around interactively with real values and run code, see...

Tokenizes and provides detailed information about tokens of given text

Parameters

body (required)

Plain text body to process

Location: Body, Data Type: string

lang (optional)

Location: Query, Data Type: string

** A word enclosed with curly brackets "{ }" in the code means that it is a parameter and it should be replaced with your own values when executing. (also overwriting the curly brackets).
Returns

Below is a sample response from the endpoint


If you wish to play around interactively with real values and run code, see...

Dependency graph and entity recognition visualization.

Parameters

body (required)

Plain text body to process

Location: Body, Data Type: string

lang (optional)

Location: Query, Data Type: string

type (optional)

Location: Query, Data Type: string

** A word enclosed with curly brackets "{ }" in the code means that it is a parameter and it should be replaced with your own values when executing. (also overwriting the curly brackets).
Returns

Below is a sample response from the endpoint


If you wish to play around interactively with real values and run code, see...

Generates word vectors for given text

Parameters

body (required)

Plain text body to process

Location: Body, Data Type: string

lang (optional)

Location: Query, Data Type: string

** A word enclosed with curly brackets "{ }" in the code means that it is a parameter and it should be replaced with your own values when executing. (also overwriting the curly brackets).
Returns

Below is a sample response from the endpoint


If you wish to play around interactively with real values and run code, see...

Rate Limiting

Each subscription has its own rate limit. When you become a member, you start by choosing a rate limit that suits your usage needs. Do not worry; You can upgrade or downgrade your plan at any time. For this reason, instead of starting with a larger plan that you do not need, we can offer you to upgrade your plan after you start with "free" or "gold plan" options and start using the API.

When you reach a rate limit (both daily and monthly), the service will stop responding and returning the HTTP 429 response status code (Too many requests) for each request with the following JSON string body text.

{
"message":"You have exceeded your daily\/monthly API rate limit. Please review and upgrade your subscription plan at https:\/\/apilayer.com\/subscriptions to continue."
}

A reminder email will be sent to you when your API usage reaches both 80% and 90%, so that you can take immediate actions such as upgrading your plan in order to prevent your application using the API from being interrupted.

You can also programmatically check your rate limit yourself. As a result of each request made to the APILayer, the following 4 fields provide you with all the necessary information within the HTTP Headers.

x-ratelimit-limit-month: Request limit per month
x-ratelimit-remaining-month: Request limit remaining this month
x-ratelimit-limit-day: Request limit per day
x-ratelimit-remaining-day: Request limit remaining today

You can contact our support unit if you need any assistance with your application regarding to handle the returned result by looking at the header information.

Error Codes

APILayer uses standard HTTP response codes to indicate the success or failure of an API request. In general: Codes in the 2xx range indicate success. Codes in the 4xx range indicate a clientside error, which means that failed given the information provided (e.g., a missing parameter, unauthorized access etc.). Codes in the 5xx range indicate an error with APILayer's servers (normally this should'nt happen at all).

If the response code is not 200, it means the operation failed somehow and you may need to take an action accordingly. You can check the response (which will be in JSON format) for a field called 'message' that briefly explains the error reported.

Status Code Explanation
400 - Bad Request The request was unacceptable, often due to missing a required parameter.
401 - Unauthorized No valid API key provided.
404 - Not Found The requested resource doesn't exist.
429 - Too many requests API request limit exceeded. See section Rate Limiting for more info.
5xx - Server Error We have failed to process your request. (You can contact us anytime)

You can always contact for support and ask for more assistance. We'll be glad to assist you with building your product.