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Dashboard Playground Documentation

About Us Career

Use Cases

Automatic Speech Recognition/Speech to text Classification Chatbot/Conversational AI Code Generation Embeddings Generative AI (ChatGPT and GPT-4 Alternatives) Grammar and Spelling Correction Headline Generation Image Generation/Text To Image Intent Classification Keyword and Keyphrase Extraction Language Detection Lemmatization Named Entity Recognition (NER) Noun Chunks Paraphrasing/Rewriting Part-Of-Speech tagging Question Answering Semantic Search Semantic Similarity Sentiment and Emotion Analysis Summarization Tokenization Translation

Blog

How to Install and Deploy LLaMA 3 Into Production? GPT-4 and ChatGPT Open-Source Alternatives: LLaMA 3 and Mixtral 8x7b How to Build a Chatbot with Generative Models like GPT-4, ChatGPT, LLaMA 3, and Mixtral 8x7b Social Listening with AI: The KWatch.io Story Powered by NLP Cloud The ChatGPT open-source alternatives Deploy LLaMA 3, Mistral, and Mixtral, on AWS EC2 with vLLM RAG: Question Answering On Domain Knowledge With Semantic Search And Generative AI Edge AI / On-Premise AI Models For Sensitive Applications How To Develop A Token Streaming UI For Your LLM With Go, FastAPI And JS How To Fine-Tune LLaMA, OpenLLaMA, And XGen, With JAX On A GPU Or A TPU OpenAI vs NLP Cloud Effectively Using ChatDolphin, The ChatGPT Alternative, With Simple Instructions Effectively Using GPT-3, GPT-4, ChatGPT, And More Generative Models With Few-Shot Learning An Instruct Version Of GPT-J Using Stanford Alpaca's Dataset SpaCy Alternatives For Entity Extraction (NER) How To Install And Deploy Whisper, The Best Open-Source Alternative To Google Speech-To-Text Effectively Using Text To Image With Stable Diffusion, The DALL-E 2 Alternative No-Code AI: Integrate the NLP Cloud API Into A Bubble.io App Build a GPT-J/GPT-NeoX Discord Chatbot With NLP Cloud Hugging Face API and AutoTrain: pricing and features comparison with NLP Cloud How To Summarize Text With Python and Machine Learning Few-shot NER: Entity Extraction Without Annotation And Training Based On GPT Top 10 Natural Language Processing Frameworks, Services And Actors In 2022 Multilingual Natural Language Processing: NLP in non-English languages Deploying GPT-NeoX 20B in production, and a focus on Deepspeed How to speed up inference of Natural Language Processing Transformers Fine-tuning GPT-J Zero-shot learning for text classification Google Cloud Natural Language VS NLP Cloud Natural Language Processing introduction: what is Natural Language Processing? Contextual ad targeting using text classification Adding a text summarizer to Google Docs Designing a classification Natural Language Processing API with FastAPI and Transformers Introduction to the NLP Cloud API with the Python client

NLP Cloud Playground

Advanced Usage

Text Generation

Text Use Cases

Chatbot/Conversational AI
Classification
Code Generation
Grammar and Spelling Correction
Headline Generation
Intent Classification
Keywords and Keyphrases Extraction
Language Detection
NER (entity extraction)
Paraphrasing
Question Answering
Semantic Search
Semantic Similarity
Sentiment / Emotion Analysis
Summarization
Translation

Audio/Video/Image Use Cases

Automatic Speech Recognition
Image Generation
Speech Synthesis

NLP Research

Embeddings
Lemmatization
Noun Chunks
POS Tagging
Tokenization

Headline Generation

API key (get one here)

Language (multilingual addon)

Model

Text

Headline Generation

Headline generation is a summarization task that creates a very short summary, suited for news headlines.

Python
Node.js
PHP
Go
Ruby

Language

AI models don't always work well with non-English languages.

We do our best to add non-English models when it's possible. See for example Fine-tuned LLaMA 3.1 405B, LLaMA 3 70B, Dolphin, ChatDolphin, XLM Roberta Large XNLI, Paraphrase Multilingual Mpnet Base V2, or spaCy. Unfortunately not all the models are good at handling non-English languages.

In order to solve this challenge, we developed a multilingual module that automatically translates your input into English, performs the actual NLP operation, and then translates the result back to your original language. It makes your requests a bit slower but often returns very good results.

Even for models that natively understand non-English languages, they actually sometimes work even better with the multilingual addon.

Simply select your language in the list, and from now on you can write the input text in your own language!

This multilingual add-on is a free feature.