NLP Cloud

About NLP Cloud

NLP Cloud is an artificial intelligence API platform providing access to natural language processing and generative AI models, including automatic speech recognition, text classification, chatbot/conversational AI, code generation, dialogue summarization, embeddings, grammar and spelling correction, headline generation, intent classification, keyword extraction, language detection, lemmatization, named entity recognition, noun chunk extraction, paraphrasing, part-of-speech tagging, question answering, and semantic search. Models used across these use cases include GPT-OSS 120B, LLaMA 3.1 405B, in-house fine-tuned LLaMA models, OpenAI's Whisper Large, Bart Large models, spaCy models, Sentence Transformers, and others from third-party contributors.

The platform emphasizes data privacy, stating it is HIPAA, GDPR, and CCPA compliant, is working toward SOC 2 certification, and does not view, store, or use customer data to train its own models. It offers on-premise and edge deployment options for customers with security, privacy, or performance requirements, and supports custom models through fine-tuning or upload of in-house models. NLP Cloud states it collaborates with NVIDIA and deploys its generative AI engines on NVIDIA GPUs, with an option for customers to deploy on their own on-premise NVIDIA GPUs.

NLP Cloud is built for developers, offering an API with client libraries available on GitHub and documentation for integration. It targets businesses and technical teams needing multilingual AI (available in up to 200 languages depending on the model) without managing their own DevOps or model infrastructure. Customers referenced on the page include a CTO, software engineer, CSO, and lead developer from various companies, as well as a French medical device manufacturer (LAO) using the platform's classification API for support ticket triage.

Key features

• Automatic speech recognition, classification, chatbot, code generation, and NER via API
• On-premise / edge deployment on customer's own servers
• Fine-tune or upload custom models and deploy them to production
• Multilingual AI support across 200 languages
• HIPAA / GDPR / CCPA compliant with no data storage or use for training

Frequently asked questions