Compare the Top Natural Language Processing Software for Cloud as of June 2025

What is Natural Language Processing Software for Cloud?

Natural language processing (NLP) software analyzes both written and spoken human languages and interprets them for translation, deep learning and automation purposes. Natural language processing software may also include natural language understanding (NLU) capabilities. Compare and read user reviews of the best Natural Language Processing software for Cloud currently available using the table below. This list is updated regularly.

  • 1
    Google AI Studio
    Google AI Studio utilizes natural language processing (NLP) to enable machines to understand, interpret, and respond to human language in a meaningful way. NLP models can perform tasks like sentiment analysis, text summarization, translation, and chatbot interaction, allowing businesses to enhance customer engagement and automate language-based processes. The platform’s NLP tools can be customized to work with industry-specific terminology or fine-tuned for specialized tasks, ensuring that the AI-driven systems meet the unique needs of the business. Additionally, Google AI Studio provides robust support for managing large datasets, making it easier to build scalable NLP solutions.
    Starting Price: Free
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  • 2
    Haystack

    Haystack

    deepset

    Apply the latest NLP technology to your own data with the use of Haystack's pipeline architecture. Implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications. Evaluate components and fine-tune models. Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines. Perform semantic search and retrieve ranked documents according to meaning, not just keywords! Make use of and compare the latest pre-trained transformer-based languages models like OpenAI’s GPT-3, BERT, RoBERTa, DPR, and more. Build semantic search and question-answering applications that can scale to millions of documents. Building blocks for the entire product development cycle such as file converters, indexing functions, models, labeling tools, domain adaptation modules, and REST API.
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