AlchemyLanguageTM is the world’s most popular natural language processing service. AlchemyVisionTM is the world’s first computer vision service for understanding complex scenes. AlchemyAPI is used by more than 40,000 developers across 36 countries and a wide variety of industries to process over 3 billion texts and images every month. | Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free. | At the top of each mountain of data lies a nugget of invaluable knowledge, but it takes an incredibly powerful tool to bring that mountain to its knees. That's precisely what our Text Analysis API does. |
Entity extraction; sentiment analysis; keyword extraction; concept tagging; relation extraction; taxonomy; author extraction; language detection; text extraction; image extraction; image tagging | Define your custom categories and tags to structure your text data. Process thousands of texts and get actionable insights.
Implement NLP features in your product with our scalable API. We provide SDKs for major programming languages.
No NLP or Machine Learning knowledge is required. Just play with our elegant UI and our Patent Pending Algorithm creation Engine. | The first step in understanding a document is to strip it of unnecessary elements. Article Extraction strips HTML documents of ads, navigation elements, and anything that gets in the way of understanding the text.;Why use 100 words when 10 will do? Summarization extracts key sentences from a text, leaving only the most important concepts.;Because a text includes more than just concepts, Entity Extraction lists organizations, phone numbers, currency amounts, even individuals mentioned in a text.;Language Detection quickly and accurately ensures that you and the text in question are, literally, speaking the same language. |
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rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.

It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.

Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.

It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.

It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.

You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.