Top Free NLP tools, APIs, and Open Source models

Top Free NLP tools, APIs, and Open Source models

What is Natural Language Processing API?

An NLP API is a tool that allows developers to add advanced language processing to their applications without creating it all from the beginning. NLP APIs provide pre-made features and models for tasks like analyzing emotions, interpreting text, translating languages, finding named entities, and summarizing text.

These tools help developers process and understand written data, gathering insights to improve natural language understanding in applications such as chatbots, virtual assistants, and tools for analyzing sentiment.

Top Open Source (Free) NLP models on the market

For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of the best NLP Open Source Models:

1‍. Rasa

Rasa Open Source offers open-source natural language processing to break down complex user messages into intents and entities that chatbots can interpret. Using lower-level machine learning libraries such as Tensorflow and spaCy, Rasa Open Source provides highly customisable natural language processing software that is both approachable and precise.

2. Flair

Flair offers cutting-edge natural language processing (NLP) models to enhance your text. Our models include named entity recognition (NER), sentiment analysis, and part-of-speech tagging (PoS). We also provide special support for biomedical data, sense disambiguation, and classification. Our models are available for an expanding range of languages.

3. spaCy

spaCy is an advanced library that utilizes Natural Language Processing in Python and Cython. Developed using cutting-edge research, it was specifically designed for commercial use from its inception.

4. PyText

PyText is a deep-learning-based NLP modeling framework constructed on PyTorch. Its goal is to fulfill the two concurrent demands of enabling swift experimentation and serving models at scale, which often conflict with each other. This is accomplished by providing uncomplicated and scalable interfaces and abstracts for model components, and by utilizing PyTorch's ability to export models for inferences via the optimized Caffe2 execution engine.

5. AllenNLP

An open-source NLP research library.

Cons of Using Open Source AI models

‍While open source models offer many advantages, they also have potential drawbacks and challenges. Here are some cons of using open source models:

  • Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear hosting and server usage expenses, especially when dealing with large or resource-intensive data sets.
  • Lack of Support: Open source models may not have official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
  • Limited Documentation: Some open source models may have incomplete or poorly maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
  • Security Concerns: Security vulnerabilities can exist in open source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open source models may need to monitor for security updates and patches actively.
  • Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.

Why choose Eden AI?

Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.

Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.

To get started, we offer free $10 credits for you to explore our APIs. 60720 (1).png

Access NLP providers with one API

Our standardized API enables you to integrate NLP APIs into your system with ease by utilizing various providers on Eden AI. Here is the list of one of NLP tasks, NER (in alphabetical order):

  • AWS
  • Google Cloud
  • IBM Watson
  • Lettria
  • Microsoft Azure
  • Neural Space
  • NLP CLoud
  • OpenAI
  • Tenstorrent

1. AWS- Available on Eden AI

AWS's NER solution is very popular because it's very precise and can be customized. It's easy to teach it about different categories and languages, and it works well with many other AWS tools. Additionally, Amazon's security and compliance measures make it reliable and scalable.

2. Google Cloud- Available on Eden AI

The API can detect phone numbers and addresses with accuracy in the chosen language it supports. It identifies entities precisely and forms meaningful connections between them, augmenting contextual insights of the extracted information and boosting its overall quality.

3. IBM- Available on Eden AI

IBM Watson offers a highly adaptable and advanced NER solution made for identifying entities. It can handle numerous languages proficiently and accurately recognize entities from diverse contexts.

4. Lettria- Available on Eden AI

Lettria's NER API achieves a perfect balance between accuracy and speed, making it fitting for several NLP-related applications. The company also allows you to customize the NER API for specific use cases, which enables greater flexibility.

Moreover, the API has an easy-to-use RESTful interface, simplifying its integration into present applications.

5. Microsoft Azure- Available on Eden AI

Azure offers NER API services as a component of its Microsoft Azure Cognitive Services package. These services are hosted on the dependable Microsoft Azure infrastructure, ensuring increased scalability and reliability.

Utilizing the NER API is simple with access to thorough SDKs and APIs. Additionally, the API is compatible with multiple languages, making it appropriate for a diverse range of worldwide applications.

6. NeuralSpace- Available on Eden AI

Neural Space's NER API is ideal for businesses that need accurate text processing for specific languages or fields. The API is highly customizable and accurate. It supports over 36 different entities and 87 languages, enabling it to be used in a wide variety of contexts.

7. NLP Cloud- Available on Eden AI

NLP Cloud's NER API provides elevated entity recognition with customization choices, multilingual compatibility, and pre-trained models to ensure precise identification of names, locations, organizations, and other entities. Its user-friendly interface supports smooth implementation into current applications.

8. OpenAI- Available on Eden AI

Open AI's state-of-the-art technology applies advanced machine learning models to precisely identify and extract entities from text data. Customers can tailor the API's functionality to their distinct needs, fine-tuning for domain-specific entity identification. Additionally, the API can handle multiple languages, facilitating text processing in various languages.

9. Tenstorrent- Available on Eden AI

Tenstorrent's NER API provides a remarkable blend of accuracy, multi-language support, scalability, and seamless integration. It proves to be an optimum choice for businesses that manage extensive text data in different languages, owing to its efficient handling of diverse processing requirements.

Pricing Structure for NLP API Providers

Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for November 2023, as well as you can get discounts for potentially large volumes.

How Eden AI can help you?

Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
  • Centralized and fully monitored billing on Eden AI for NLP APIs
  • Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
  • Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
  • The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
  • Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

You can see Eden AI documentation here.

Next step in your project

The Eden AI team can help you with your NLP integration project. This can be done by :

  • Organizing a product demo and a discussion to understand your needs better. You can book a time slot on this link: Contact
  • By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
  • By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
  • Having the possibility to integrate on a third-party platform: we can quickly develop connectors.

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