Best Artificial Intelligence (AI) APIs for Spark NLP
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Compare the Top Artificial Intelligence (AI) APIs that integrates with Spark NLP as of December 2025
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This a list of Artificial Intelligence (AI) APIs that integrates with Spark NLP. Use the filters on the left to add additional filters for products that have integrations with Spark NLP. View the products that work with Spark NLP in the table below.
What is Artificial Intelligence (AI) APIs for Spark NLP?
Artificial Intelligence APIs are software that provide access to advanced technology, AI, and machine learning algorithms designed to solve complex problems. They allow developers to create applications with smarter artificial intelligence features such as natural language processing, image recognition, and more. Many companies use AI APIs to automate tasks or gain insights into customer data so they can improve their products or services. AI APIs are constantly evolving, enabling businesses to benefit from cutting-edge technologies while decreasing the time required for development. Compare and read user reviews of the best Artificial Intelligence (AI) APIs for Spark NLP currently available using the table below. This list is updated regularly.
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OpenAI
OpenAI
OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions. -
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spaCy
spaCy
spaCy is designed to help you do real work, build real products, or gather real insights. The library respects your time and tries to avoid wasting it. It's easy to install, and its API is simple and productive. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack, and build custom components and workflows. Components for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and more. Easily extensible with custom components and attributes. Easy model packaging, deployment, and workflow management.Starting Price: Free
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