Top Feelings Interpretation API alternatives in 2025

Top Feelings Interpretation API Alternatives in 2025

1. Emotion Analysis API

Key Features and Capabilities

• Sentiment Analysis: This feature allows users to analyze the emotional tone of a text. By submitting a text, users receive a prediction of whether the sentiment is positive, negative, or neutral, along with a confidence score. For example, a response might look like this:

[{"id":"1","predictions":[{"prediction":"positive","probability":0.95566}]}]

Read our technical guides for implementation tips.

2. Multilingual Sentiment Analysis API

Key Features and Capabilities

• Analyzer: Users can pass a text to this endpoint to retrieve the sentiment score and its label, which could be positive, negative, or neutral. The API supports multiple languages, including Chinese, Italian, Japanese, Hindi, English, Spanish, and Russian. An example response might look like this:

{"results":[{"text":"This sentiment analyzer is amazing. It covers many more languages than I have used so far.","label":"positive","confidence":"0.99"}]}

Check out the API documentation to get started.

3. Financial Sentiment Analysis API

Key Features and Capabilities

• Sentiment Analysis: Users must enter a text in the parameter to receive a sentiment score. An example response could be:

{"type":"positive","score":0.917220858,"ratio":1,"keywords":[{"word":"love","score":0.917220858}],"version":"7.5.7","author":"twinword inc.","email":"[email protected]","result_code":"200","result_msg":"Success"}

Check out the API documentation to get started.

4. Opinion Analysis API

Key Features and Capabilities

• Analyzer: This feature detects if the text is a promoter, detractor, or indifferent suggestion. An example response might look like this:

[{"id":"1","predictions":[{"probability":1.0,"prediction":"Promote"}]},{"id":"2","predictions":[{"probability":1.0,"prediction":"Promote"}]},{"id":"3","predictions":[{"probability":1.0,"prediction":"Detract"}]},{"id":"4","predictions":[{"probability":1.0,"prediction":"Indifferent"}]}]

Try the API playground to experiment with requests.

5. Text Emotion Recognition API

Key Features and Capabilities

• Recognition: This endpoint can accurately identify and interpret emotions expressed in a piece of text. An example request body might look like this:

{ "text": "This API is fantastic. It has proven to be a reliable and indispensable tool in my work, consistently delivering the results I need.", "spell_check": true, "keywords": true }

{"confidence_score":0.9990007281303406,"emotions":{"sadness":0.9979654550552368},"overall_sentiment":"Negative","sentiment_score":0.4204545454545454,"subjectivity":0.6515151515151515,"summary":"The overall sentiment is negative with a confidence score of 1.00. Sentiment score is 0.42 and subjectivity is 0.65. Key emotions detected include sadness."}

Read our technical guides for implementation tips.

6. Mood Master API

Key Features and Capabilities

• Get moods: This feature returns the different types of moods available. An example response might look like this:

{"data":["casual","formal","polite","fluency","simple","creative","shorten","urgent"]}

• Get text: Users can insert the text and the desired mood to receive a transformed text. An example response could be:

{"status":true,"data":"I regret to inform you that I am unable to attend the meeting tomorrow."}

View the integration guide for step-by-step instructions.

7. Text Emotion Analyzer API

Key Features and Capabilities

• Analyze text: Users must specify a text to be analyzed. An example response might look like this:

{"sentiment":"positive","score":0.8125}

Visit the developer docs for complete API reference.

8. Image Emotions Recognition API

Key Features and Capabilities

• Emotions Recognition: By providing a public image URL, this endpoint can detect and recognize emotions. An example request body might look like this:

{ "image_url": "https://img.freepik.com/free-photo/happy-man-celebrates-victory-smiles-pink-background_197531-26738.jpg" }

{"sentiment": "positive", "sentiment_score": "0.12477050721645355"}

Check out the API documentation to get started.

Conclusion

Emotion Analysis API is a strong contender for general sentiment analysis, while the Multilingual Sentiment Analysis API excels in diverse language support. For financial applications, the Financial Sentiment Analysis API is tailored to meet specific needs.

Opinion Analysis API provides valuable insights, while the Text Emotion Recognition API offers a deep understanding of emotional states. The Mood Master API is perfect for transforming text moods, and the Text Emotion Analyzer API is ideal for data-driven decision-making.

Image Emotions Recognition API stands out for its ability to analyze visual content. Depending on your specific needs—be it language support, financial analysis, or image recognition—there is an API that can help you achieve your goals in 2025.