Automatic Speech Recognition/Speech to text Blog Post Generation Classification Chatbot/Conversational AI Code Generation Dialogue Summarization Embeddings Grammar and Spelling Correction Headline Generation Image Generation/Text To Image With Stable Diffusion (DALL-E 2 Alternative) Intent Classification Keyword and Keyphrase Extraction Language Detection Lemmatization Named Entity Recognition (NER) Noun Chunks Paraphrasing/Rewriting Part-Of-Speech tagging Product Description and Ad Generation Question Answering Semantic Search Semantic Similarity Sentiment and Emotion Analysis Speech Synthesis/Text-to-Speech Summarization Text Generation with GPT-J and GPT-NeoX (GPT-3 Alternatives) Tokenization Translation

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Effectively Using ChatDolphin, The ChatGPT Alternative, With Simple Instructions An Instruct Version Of GPT-J Using Stanford Alpaca's Dataset Question Answering On Domain Knowledge With Semantic Search And Text Generation SpaCy Alternatives For Entity Extraction (NER) The ChatGPT open-source alternatives 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 OpenAI And GPT-3 VS NLP Cloud 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 How to build a chatbot with GPT-3/GPT-J Fine-tuning GPT-J Zero-shot learning for text classification Effectively using GPT-J and GPT-Neo with few-shot learning GPT-3 open-source alternatives: GPT-J and GPT-Neo 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

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NLP Cloud Playground

Advanced Usage

Text Generation

Text Use Cases

Chatbot/Conversational AI
Classification
Code Generation
Dialogue Summarization
Grammar and Spelling Correction
Headline Generation
Intent Classification
Keywords and Keyphrases Extraction
Language Detection
NER (entity extraction)
Paraphrasing
Product Description and Ad Generation
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 to summarize

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 GPT-NeoX 20B, 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.