Top-10 Best AI-based APIs and free alternatives

Updated 2 years ago on July 18, 2023

API Collection:

  1. OOPSpam Spam Filter - A privacy-friendly, new generation, highly accurate anti-spam filter for contact forms, comment systems, blogs, live chat- the limit is your creativity!
  2. Text To Speech Neural/Google - Get audio from text easily, choose from our neural or google engine and many options for different voices including indian voice. This api is made in India.
  3. Cloudlabs Text To Speech - Convert text to audio quickly, supports over 100 languages ​​and 300+ speakers
  4. Face liveness check - Check if the selfie your users take is indeed live, optimally clicked to save in your records, if there are multiple faces detected in the image, and what percentage of the image does the face actually cover. Face liveness detection helps you uncover frauds by ensuring that the image you have been provided isn’t a picture of a picture, a passport sized image, or an image of another individual on a cell phone / laptop screen. Pair it to the Face Compare API to have complete confidence that t...
  5. Dezgo - Provides easy&fast access to text2image / image2image / inpainting AI. (57 models across Stable Diffusion 1.x/2.x and finetuned models)
  6. TLDRThis - Summarize any URL or text using state-of-the-art abstractive and extractive summarization models.
  7. Aeona - Api to the best AI chatbot around!
  8. Pronunciation Assessment - Automated English pronunciation assessment API powered by AI
  9. RoboMatic.AI - A chatbot that can be used to automate your business or for fun.
  10. Cortex - The Biggest AI Dataset

Computer Vision APIs: These APIs allow developers to analyze and understand the content of images and videos. They can be used for tasks such as image recognition, object detection, and face recognition.
Natural Language Processing (NLP) APIs: These APIs allow you to analyze and understand human language. They can be used for tasks such as sentiment analysis, language translation, and text summarization.
Predictive analytics APIs: These APIs allow you to predict future events based on historical data. They can be used for tasks such as predicting stock market conditions and customer churn.

There are a number of advantages to using artificial intelligence-based APIs:

Efficiency: Using pre-trained models saves developers time and resources compared to building their own machine learning models.
Scalability: APIs can handle a large volume of requests and can be integrated across platforms, allowing for scalable use of artificial intelligence.
Accessibility: APIs allow developers to access advanced AI features without the need for deep knowledge of machine learning algorithms.

What is an API based on artificial intelligence?

An AI-based API is a set of program instructions that allow developers to access the functionality of an AI or ML model. It can include tasks such as pattern recognition, natural language processing, and predictive analytics.

How do you use the machine learning API?

Machine Learning (ML) APIs are typically accessed through HTTP requests where developers can send data and receive a response. To use ML APIs, you must have an API key and know the endpoint and parameters of the specific API.

What are the benefits of using AI APIs?

The benefits of using AI APIs include efficiency, scalability, and accessibility. Using pre-trained models saves developers time and resources compared to building their own models. APIs are capable of handling a large volume of requests and can be integrated into various platforms. In addition, APIs allow developers to access advanced AI functionality without the need for in-depth knowledge of machine learning algorithms.

RapidAPI offers a wide range of artificial intelligence (AI) APIs for developers to choose from. Explore the range of AI APIs available on RapidAPI and start integrating them into your project today. Experience the power of artificial intelligence firsthand and take your applications to the next level.

More Questions

How is ChatGPT used in development? Updated 2 years ago

Using ChatGPT for predictive analytics This artificial intelligence language model enables predictive analytics by analyzing large amounts of data and extracting meaningful information from it. The model's ability to understand natural language and generate human-like responses makes it an ideal tool for predicting user or customer behavior.

Who developed ChatGPT? Updated 2 years ago

ChatGPT (Chat Generative Pre-Trained Transformer) is an artificial intelligence chatbot developed by OpenAI and launched on November 30, 2022. Its feature is that it allows users to refine and guide the conversation by length, format, style, level of detail, and language used.

Will ChatGPT replace software engineers? Updated 2 years ago

An artificial intelligence-based tool can help you create blocks of code faster, but you will definitely need an experienced developer to connect those blocks in an organized manner to get the desired results. Thus, ChatGPT or any other artificial intelligence tool will not replace human developers, but it can significantly improve their overall productivity.

How do I install PyMilvus? Updated 2 years ago

Installation is done using pip. PyMilvus is in the Python package index. Installing in a virtualized environment. Installing a specific version of PyMilvus. Installing from source.

Is an API considered artificial intelligence? Updated 2 years ago

An artificial intelligence API is an API that allows developers to add artificial intelligence features to applications. Such APIs can be used in a variety of business functions, including facial recognition, spam filtering, location detection, and even information/post sharing.

What is a stable diffusion model? Updated 2 years ago

What is a stable diffusion model? Simply put, stable diffusion models allow you to control the style of image generation. Using a model specifically trained on real images allows you to get realistic results, such as a photorealistic portrait.

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