It uses advanced machine learning algorithms to analyze the tone and sentiment of a given text and then adjusts the words and wording to produce the desired mood. Whether you want a text to be more positive, negative, or neutral, the API makes it easy.
The API is designed to be simple and intuitive to use and requires no prior experience in machine learning or artificial intelligence. All you have to do is send a text to the API, specify the desired mood and receive a transformed text that reflects the desired tone. This makes it ideal for use in a wide range of applications, such as social media, customer service, marketing, etc.
Thanks to its high accuracy and ability to produce real-time results, the Mood Master API is the ideal solution for anyone looking to quickly and easily adjust the sentiment of their text. Whether you want to improve the tone of a marketing message or make a social media post more upbeat, this API is the solution.
It will receive a parameter and provide you with a JSON.
Marketing: Text Mood Changer AI API can be used to create positive, upbeat marketing messages, helping companies to promote their products and services in a more appealing way.
Customer Service: The API can be used to transform negative customer feedback into more neutral or positive language, helping companies to maintain a professional image and build customer loyalty.
Social Media: The API can be used to adjust the tone of social media posts, making them more positive or neutral, and helping to create a more engaging online presence.
Translation: The API can be used to adjust the sentiment of the translated text, ensuring that the translated text retains the desired tone in the target language.
Research: Researchers can use the API to analyze and compare the sentiment of large volumes of text data, helping to identify trends and patterns in sentiment over time.
Besides API call limitations per month, there are no other limitations.
{"data":["casual","formal","polite","fluency","simple","creative","shorten","urgent"]}
curl --location --request GET 'https://zylalabs.com/api/1198/mood+master+api/1043/get+moods' --header 'Authorization: Bearer YOUR_API_KEY'
{"status":true,"data":"\nI regret to inform you that I am unable to attend the meeting tomorrow."}
curl --location --request POST 'https://zylalabs.com/api/1198/mood+master+api/1044/get+text?text=I'm sorry bro I can't attend tomorrow meeting.&mood=formal' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The "GET Get moods" endpoint returns a list of available mood types in a JSON format, while the "POST Get text" endpoint returns a transformed text based on the specified mood, along with a status indicator.
The "GET Get moods" response includes a "data" field containing an array of mood types. The "POST Get text" response includes "status" (boolean) and "data" (the transformed text).
The response data is structured in JSON format. For "GET Get moods," it returns an object with a "data" array. For "POST Get text," it returns an object with "status" and "data" fields, indicating success and the modified text, respectively.
The POST "Get text" endpoint requires two parameters: "text" (the original text to be transformed) and "mood" (the desired mood type). Users can specify any mood from the list provided by the "GET Get moods" endpoint.
Common use cases include enhancing marketing messages, moderating customer feedback, adjusting social media posts, ensuring sentiment consistency in translations, and analyzing sentiment trends in research.
Users can leverage the transformed text from the "POST Get text" response to improve communication tone in various applications, such as crafting engaging marketing content or responding to customer inquiries more positively.
The Mood Master API employs advanced machine learning algorithms to analyze and adjust text sentiment, ensuring high accuracy in mood transformation. Continuous training on diverse datasets helps maintain quality.
If the "POST Get text" response indicates a "status" of false, users should check the input parameters for errors. For empty results, ensure the input text is not blank and that a valid mood is specified.
To obtain your API key, you first need to sign in to your account and subscribe to the API you want to use. Once subscribed, go to your Profile, open the Subscription section, and select the specific API. Your API key will be available there and can be used to authenticate your requests.
You can’t switch APIs during the free trial. If you subscribe to a different API, your trial will end and the new subscription will start as a paid plan.
If you don’t cancel before the 7th day, your free trial will end automatically and your subscription will switch to a paid plan under the same plan you originally subscribed to, meaning you will be charged and gain access to the API calls included in that plan.
The free trial ends when you reach 50 API requests or after 7 days, whichever comes first.
No, the free trial is available only once, so we recommend using it on the API that interests you the most. Most of our APIs offer a free trial, but some may not include this option.
Yes, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost, so you can test our APIs without any commitment.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
Please have a look at our Refund Policy: https://zylalabs.com/terms#refund
Service Level:
100%
Response Time:
3,251ms
Service Level:
100%
Response Time:
620ms
Service Level:
50%
Response Time:
454ms
Service Level:
100%
Response Time:
1,134ms
Service Level:
100%
Response Time:
507ms
Service Level:
100%
Response Time:
221ms
Service Level:
100%
Response Time:
73ms
Service Level:
100%
Response Time:
46ms
Service Level:
100%
Response Time:
1,771ms
Service Level:
100%
Response Time:
57ms
Service Level:
100%
Response Time:
987ms
Service Level:
100%
Response Time:
274ms
Service Level:
100%
Response Time:
142ms
Service Level:
100%
Response Time:
19,128ms
Service Level:
100%
Response Time:
18,989ms
Service Level:
100%
Response Time:
280ms
Service Level:
100%
Response Time:
1,956ms
Service Level:
100%
Response Time:
2,175ms
Service Level:
100%
Response Time:
8,778ms
Service Level:
100%
Response Time:
12,552ms