What TextGPT AI?
TextGPT AI is a revolutionary new texting app that lets you access the AI power of OpenAI’s GPT through text messages. With TextGPT, you can easily ask any question you have and get a response from the AI, providing you with quick and accurate answers to your questions.
TextGPT is easy to use – simply open your text messaging app and text your question to the provided number. TextGPT’s advanced natural language processing capabilities will then provide you with a comprehensive and accurate response in no time.
|Product Type||AI Text Generator|
|Free Trail||Yes Available Basic Version|
|Price Start From||$6|
|Deployment||SaaS/Web/Cloud Mobile – Android Mobile – iOS|
|Customer Type||Large Enterprises ,Medium Business ,Small Business|
|Official Website||Click Here To Visit|
TextGPT AI Transcription Pricing
Now it’s time to talk about company plans and pricing.
$6 is the minimum purchase and gets you 120,000 tokens. You can think of tokens as pieces of words. For English text, 1 token is approximately 4 characters or 0.75 words.
For example, the request “Tell me a joke.” Cost 4 tokens.
The answer: Why couldn’t the bicycle stand up by itself? Because it was two-tired. Cost 20 tokens.
Tokens will also be applied to the cost of the text message service at a rate of 800 tokens per exchange.
The cost to generate an image from text is 1900 tokens
How to Sign Up & Use TextGPT AI?
Look for a platform or service that makes GPT-3 or a comparable language model accessible. Hugging Face, EleutherAI, and OpenAI are a few well-liked alternatives.
Create a platform or service account. You might have to accept the terms of service and give some personal information.
You must select an API key or token before you can access the language model after creating an account. To receive your key or token, adhere to the platform’s instructions.
You can use the language model once you have your key or token. You could be able to communicate with the model through a web interface, a command line interface, or a programming language like Python, depending on the platform.
You must supply input text the language model can utilize to produce output text in order to use it. The platform and the particular API you are using will determine the exact format of the input text.
You should receive output text produced by the language model after submitting the input text. The specific model you are employing, along with the caliber and applicability of the input text, will determine the accuracy and quality of the output.
To get the best results from the language model, you might need to test out various input formats and settings. To assist you in getting started, many platforms and services include documentation and tutorials.
TextGPT Key Features
Tap into the power of ChatGPT and Dall-E through text messages
With TextGPT you can easily access OpenAi’s ChatGPT and Dall-E 2 through text messaging, receiving quick and accurate answers to any question you may have and generating realistic images with a simple text.
Natural Language Generation
In response to a cue, GPT-3 can produce text that sounds like human speech. This makes it practical for a range of jobs, including chatbots, writing assistance, and content generation.
GPT-3 has been trained on a vast amount of data, enabling it to identify patterns and produce precise and pertinent answers to different requests.
Support for several languages
GPT-3 can produce text in a number of languages, including English, Spanish, French, and German.
GPT-3 is capable of carrying out various tasks, such translation and summarization, without any extra training. Because of its quality, it can be used for a variety of purposes.
APIs: Some platforms offer GPT-3 APIs that are tailored for certain jobs, including text completion, question-answering, or language translation.
TextGPT Ai Pro Or Cons
|Natural Language Generation||Expensive|
|Large-Scale Training||Lack of Control|
|Zero-shot Learning||Lack of Control|
TextGPT AI Alternative
This is an earlier version of the GPT model developed by OpenAI, which is still powerful and widely used. While it is not as advanced as GPT-3, it is available for public use.
Bidirectional Encoder Representations from Transformers (BERT) is another powerful language model developed by Google, which has been used for a variety of natural language processing tasks, including sentiment analysis, question-answering, and text classification.
This is another transformer-based language model developed by Carnegie Mellon University and Google that has achieved state-of-the-art results in various natural language processing tasks.