Natural language processing (NLP) is a form of artificial intelligence technology that empowers computers to comprehend and manipulate the human (natural) language. Since machines lack the intuitive understanding of the natural language as we do, they rely on NLP technology to process and make meaning out of natural language data.
What is Natural Language Processing with example?
Natural Language Processing is a subfield of Artificial Intelligence concerned with teaching computers to interact with human languages. It is achieved by training machine learning models with large data sets. Some examples are Google Translate, IBM Watson, & Grammarly.
What is NLP API?
An NLP API is a machine learned model for analyzing text. NLP APIs can analyze syntax, extract entities, and evaluate syntax of text. Few popular NLP APIs are Google NLP API, IBM Watson API, & Aylien API.
Table of Contents
- 1 What does cloud Natural Language API do?
- 2 1. IBM Watson API
- 3 2. Chatbot API
- 4 3. Speech to text API
- 5 4. NLP API by Turbo
- 6 5. Google Cloud Natural Language API
- 7 6. Sentiment Analysis API
- 8 7. Translation API by SYSTRAN
- 9 8. Natural Language Processing API by Linguakit
- 10 9. Text Analysis API by AYLIEN
- 11 10. Cloud NLP API
What does cloud Natural Language API do?
The natural language processing APIs allow developers to integrate human-to-machine communications into their applications and complete several useful tasks such as performing sentiment analysis, speech recognition, and entity analysis. Cloud natural language API allows developers to quickly set up natural language infrastructure quickly. Developers can use it for sentiment analysis and extracting actionable insights from text.
API is a software interface that allows applications to interact with each other. APIs can be very simple or very complex. To learn more about the basics of API read this article.
To help you make the best decision on the right API to use, we reviewed several NLP APIs based on the following four main criteria:
- API features: We looked at the distinguishing features of each of the NLP APIs.
- Use cases: We proposed some cases where you can use the APIs.
- Pricing: We assessed the cost of using the APIs for embedding natural language processing capabilities into applications.
- Ease of use: We analyzed the ease of using each of the APIs.
Ultimately, we created the following list of the top 10 best natural language processing APIs.
- IBM Watson API
- Chatbot API
- Speech to text API
- NLP API by Turbo
- Google Cloud Natural Language API
- Sentiment Analysis API
- Translation API by SYSTRAN
- Natural Language Processing API by Linguakit
- Text Analysis API by AYLIEN
- Cloud NLP API
Top 10 Best Natural Language Processing APIs
TL;DR: Here’s a table that summarizes our key findings.
|API Features||Use Cases||Pricing||Ease of Use|
|IBM Watson API||Classify text into custom categories, classify text from multiple languages||Extract insights from texts, understand sentiment, automate workflows||Free and varying paid plans||Easy|
|Chatbot API||Classify texts, support Unicode characters, support multiple languages||Create chatbots||Free and varying paid plans from $100 per month||Easy|
|Speech to text API||Convert speech to text, identify different accents||Transcribe speech||Free and varying paid plans from $500 per month||Easy|
|NLP API by Turbo||Carry out text summarization, tokenization, named entity extraction, sentiment analysis||Add NLP capabilities||Free and varying paid plans from $10 per month||Easy|
|Google Cloud Natural Language API||Carry out entity recognition, sentiment analysis, syntax analysis, content classification||Extract insights from texts, identify sentiment||Free and varying unit-based paid plans||Easy|
|Sentiment Analysis API||Carry out sentiment analysis||Identify the tone of a user comment or post||Free and varying paid plans from $19 per month||Easy|
|Translation API by SYSTRAN||Translate languages, carry out other NLP tasks||Add translation and other NLP capabilities||Free||Easy|
|Natural Language Processing API by Linguakit||Carry out various NLP tasks||Add NLP capabilities||Free and varying paid plans from $19 per month||Easy|
|Text Analysis API by AYLIEN||Derive meaning and insights from textual content||Add text analysis capabilities||Free and varying paid plans from $119 per month||Easy|
|Cloud NLP API||Carry out sentiment analysis, language detection||Add NLP capabilities||Free||Easy|
The IBM Watson Natural Language Classifier API allows you to interpret natural language using custom text classifiers
API features: The API combines different sophisticated machine learning techniques to enable developers to classify text into various custom categories. With the API, you can classify texts using custom labels and realize high accuracy with little data, even without prior machine learning expertise. Furthermore, the API supports multiple languages such as English, Spanish, Arabic, French, and others.
Use cases: You can use the IBM Watson API to extract insights from texts, understand sentiment, add automation in workflows, and enhance search and discovery.
Pricing: You can test the API for free with an IBM Cloud account for 30 days. Thereafter, you can opt for any of its paid plans and pay as you go.
Ease of use: IBM provides comprehensive documentation and helpful resources to assist you in implementing natural language processing and machine learning capabilities into your application in 15 minutes or less.
2. Chatbot API
The Chatbot API lets you harness the latest developments in natural language processing technology and build your own powerful chatbot. (Checkout our list of best chatbot apis)
API features: The API allows you to access the strengths of the neural network and create a flexible chatbot. It provides sophisticated text classification algorithms with 94.2% accuracy, supports Unicode characters, and supports multiple languages.
Use cases: You can use the API to create a chatbot for your web applications.
Pricing: The Chatbot API is available for free, but you’ll be limited to 150 requests per month. To get better features and higher limits, you can go for any of its paid plans, which starts from $100 to $5,000 per month.
Ease of use: There is simple documentation to help you get started implementing chatting capabilities within minutes.
The speech to text API leverages machine learning technologies to power the conversion of speech to written text, just as the name suggests.
API features: The API enables you to convert both long-form and short-form audio to text. Additionally, it automatically identifies different accents (UK, US, and others) so that you can carry out conversions with utmost accuracy.
Use cases: You can use the API to transcribe speech accurately and quickly.
Pricing: You can get started using the speech to text API for free, but you’ll be restricted to converting 60 minutes per month. To benefit from more extensive usage, you can go for any of its priced tiers, which starts from $500 to $1,500 per month.
Ease of use: There is simple documentation that assists you to get up and running integrating the API within a few minutes.
The NLP API by Turbo is commonly referred to as the Swiss army knife for all things natural language processing because it allows you to complete a wide range of tasks.
API features: The API comes with endpoints for carrying out various NLP activities, including text summarization, tokenization, named entity extraction, sentiment analysis, SEO slug generation, and several others.
Use cases: As mentioned above, you can use the API to integrate different natural language processing capabilities into your application.
Pricing: The NLP API by Turbo is available for free, but you’ll be limited to 1,000 requests per month. To access higher limits, you can opt for any of its paid tiers, which starts from $10 to $100 per month.
Ease of use: There is easy to use documentation, which makes incorporating the API hassle-free and fast.
The Google Cloud Natural Language API enables you to leverage Google’s machine learning technologies and extract beneficial insights from unstructured text.
API features: The API allows you to perform entity recognition, sentiment analysis, syntax analysis, and content classification in 700+ predefined categories. It also allows you to perform text analysis in multiple languages, including English, Portuguese, French, Chinese, and German.
Use cases: The API can assist you to derive useful information from text documents, blog articles, or other types of content. You can use it to carry out sentiment analysis about your products on web platforms, scrutinize text uploaded to your web portal, or derive meaning from audio conversations.
Pricing: The Google Cloud Natural Language API is priced according to the number of units you consume (every document analyzed by the API constitutes at least one unit) and the feature of the API you use. Processing less than 5,000 units per month is free—for any of the features. Thereafter, you’ll be charged based on the feature you want to use. For example, performing entity analysis for 5,000 to 1,000,000 units will cost you $1.00 per 1,000 units per month.
Ease of use: Google is known for providing extensive documentation for its API products, and the Cloud NLP API is no exception.
The Sentiment Analysis API by Twinword uses natural language processing technology to allow you to gauge whether a sentence is positive or negative.
API features: Apart from finding out the type of sentiment (positive, neutral, or negative), the API returns score and ratio attributes that grants you the power to establish by yourself the tone of the analyzed text. You can adjust the score and ratio values to suit your own preferences.
Use cases: You can integrate the API into your application to identify the tone of a user comment or post. For example, you can use the API to find out about negative customer reviews and make appropriate improvements.
Pricing: The Sentiment Analysis API is provided for free as long as you make less than 500 requests per month. Otherwise, it’s charged on a pay as you go basis, starting from $19 to $99 per month.
Ease of use: Twinword provides a free demo tool you can use to test how the API works. There is also an easy to use documentation to help you make the most of the API.
The Translation API by SYSTRAN lets you access state-of-the-art language processing technologies to translate the provided text from the source language to the target language. It supports more than 130 languages.
API features: With the Translation API, you can efficiently carry out translations from one language to the other. Furthermore, SYSTRAN provides other natural language processing APIs you can use to analyze text and derive useful insights. You can use its NLP APIs for language detection, text segmentation and tokenization, named entity recognition, transcription, and many other tasks.
Use cases: You can integrate the API into a website or mobile application and add translation and other natural language processing capabilities to your application.
Pricing: The API is provided for free. However, for extensive, commercial uses, you’ll need to contact SYSTRAN for specific pricing.
Ease of use: SYSTRAN offers easy to use API demos, code samples, and other helpful resources to help you get started without many integration hurdles.
The Natural Language Processing API by Linguakit (previously called the Cilenis API), gives you the ability to analyze and derive useful insights from texts.
API features: The API allows you to complete a wide range of NLP tasks, including language detection, named entity recognition, sentiment analysis, keyword extraction, multiword extraction, tokenization, syntactic analysis, and verb conjugation.
Use cases: You can use the API to include natural language technology capabilities to your application.
Pricing: The Natural Language Processing API by Linguakit does not cost anything for the first 1,000 requests each month. Thereafter, you’ll need to pay to continue using it—from $19 per month to $119 per month.
Ease of use: Linguakit provides simple documentation on how to add the API into your application within minutes.
The Text Analysis API by AYLIEN is a rich collection of APIs that are powered using versatile NLP and machine learning technologies.
API features: The API comes with endpoints that enable you to derive meaning and insights from textual content. With the API, you can extract the main text from a document and remove the surrounding clutter, summarize an article, classify texts into more than 500 categories, extract named entities, suggest hashtags that best represents a document, detect language, and carry out sentiment analysis.
Use cases: You can use the API to add text analysis capabilities to your application.
Pricing: You can make 1,000 hits per day for free with the Text Analysis API by AYLIEN. For extensive usage, you’ll need to subscribe to any of its paid tiers, which starts from $199 to $1,399 per month.
Ease of use: AYLIEN provides comprehensive documentation and API demos to assist you in minimizing the difficulties of embedding the API into your application.
10. Cloud NLP API
The Cloud NLP API is a simple API that empowers you to improve the capabilities of your application using natural language processing technology.
API features: The API allows you to carry out various natural language processing functions such as sentiment analysis and language detection.
Use cases: The Cloud API will help you to add the power of NLP technology to your application with ease.
Pricing: The API is provided for free.
Ease of use: Incorporating the API into applications is fast and easy.
That’s Rakuten RapidAPI’s list of top 10 best natural language processing APIs. We hope you’ll find an API that you can use to enhance the ability of your application to understand human communication and deliver useful insights and analysis.
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