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10 best AI APIs for your product in 2024

Instead of reinventing the wheel, use AI APIs to make the AI integration process smoother and more efficient for your product.

8 April, 2024
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AI APIs are useful for connecting your business and products with AI platforms or frameworks, allowing you to tap into the best capabilities of artificial intelligence without creating algorithms from the ground up.

Essentially, they're like toolkits that provide standardized methods for integrating AI functionalities into applications or services.

Instead of reinventing the wheel, you can use those pre-built models and algorithms offered by AI APIs, making the integration process smoother and more efficient.

We have already covered the best AI APIs of last year - now it’s time to revisit the list. 

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The most common types of AI API

AI APIs cover a broad spectrum of AI functions, such as understanding human language, recognizing objects in images or videos, learning from data, understanding speech, analyzing sentiments, suggesting personalized recommendations, and much more. The most common types of AI APIs include:

  1. Computer vision APIs. These APIs use advanced machine learning algorithms to extract data from visual media, enabling tasks such as object detection, facial recognition, and content moderation.

Examples: AWS, Api4AI, Google Cloud Vision, and Clarifai.

  1. Speech recognition APIs. With sophisticated machine learning algorithms, these APIs decode and comprehend spoken language, enabling the development of voice-enabled applications.

Top providers: Assembly AI, AWS, Deepgram, and IBM Watson.

  1. Translation APIs. Utilizing natural language processing (NLP) algorithms, these APIs identify text in one language and translate it into another, supporting applications like language translation tools and multilingual websites.

Notable providers: DeepL, Google Cloud Translation, HuggingFace, and ModernMT.

  1. Text APIs. Using NLP algorithms, these APIs analyze and comprehend text data, enabling functionalities such as sentiment analysis, keyword extraction, and text summarization.

Leading providers: Clarifai, Cohere, Lettria, and Microsoft Azure.

  1. Document parsing APIs. Combining Optical Character Recognition (OCR) and NLP, these APIs extract text and relevant data from various documents, supporting applications like document scanning, conversion tools, and invoice processing systems.

Top providers: Affinda, Dataleon, Google Cloud, and Klippa.

  1. Generative APIs. These AI APIs use machine learning algorithms to generate new content across different formats, such as text, images, and code, based on specified inputs.

Examples: Amazon, Anthropic, Cohere, and Replicate.

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Advantages of AI APIs for your product

AI APIs make AI technology accessible to businesses of all sizes, allowing them to focus on their unique value propositions while efficiently addressing complex challenges. Here are some of the best advantages of using AI APIs today for your business and products:

  • Rapid integration and deployment. AI APIs simplify the integration process, allowing developers to quickly and easily incorporate AI capabilities into their applications, shortening development cycles and speeding up time to market.
  • Enhanced capabilities. These APIs automate tasks, enhance efficiency, and improve user experience through advanced features like image recognition, natural language processing, and chatbots, which can boost customer service and overall performance.
  • Accessibility. AI APIs democratize access to AI technology by making it more accessible to developers and businesses of all sizes, regardless of their AI expertise, thus leveling the playing field in terms of innovation.
  • Continuous improvement. AI APIs often feature regular updates, ensuring that businesses can stay current with the latest advancements in AI, without the need for continuous in-house development.
  • Reduced complexity. By abstracting the complexities of AI, businesses can focus on their core competencies, as AI APIs handle the technical intricacies, saving resources and enabling strategic growth.
  • No AI expertise required. Non-experts can use AI APIs without needing extensive knowledge in machine learning or complex algorithms, facilitating broader adoption and innovation within organizations.

Overall, AI APIs offer a cost-effective, scalable, and efficient way for developers and businesses to use AI to enhance their products and services with intelligent features that enhance user experiences and streamline their operations.

Best AI APIs of 2024

Here’s our list of the ten best AI APIs in 2024 for you to choose from for your product’s success and additional features.

Best AI APIs of 2024
Best AI APIs of 2024

Amazon Web Services

Amazon Web Services (AWS) dominates the cloud market with a 33% share, attracting developers, CTOs, and business owners for its diverse services and cost-effectiveness. AWS AI Services offer solutions like Polly for text-to-speech, Transcribe for speech-to-text, and Rekognition for facial and object recognition. 

What’s more, their Fraud Detector detects e-commerce fraud, while Lex manages chatbots and Kendra offers document search. Integrated with other AWS services, these AI solutions enhance reliability and efficiency. 

Positioned against competitors like Google Cloud and Microsoft Azure, AWS ensures scalable, trustworthy AI services worldwide. The Amazon Titan Image Generator also facilitates image creation and editing, with features like outpainting, inpainting, and watermarking for responsible AI usage.

Google Cloud

Google Cloud's AI solutions cover a wide range of tasks, including image and speech recognition, natural language processing, and predictive analytics, positioning it as a top-tier AI provider alongside Microsoft Azure and Amazon Web Services. 

Notable projects like Bard, Autopilot cars, and Gemini demonstrate Google's innovation in AI. The Text Analysis API offers robust features like syntax and sentiment analysis. Google's AI Platform simplifies machine learning processes, providing APIs for developers to integrate pre-trained models into their applications effortlessly. 

For customization, AI Building Block APIs like AutoML Natural Language and AutoML Video Intelligence automate model training with minimal data input.

Microsoft Azure

Microsoft's Azure Cognitive Services is another AI platform offering a suite of tools for developing intelligent applications. Its Language APIs facilitate natural language processing, including QnA generation and sentiment analysis. The Speech APIs enable seamless interaction with human speech, covering tasks like speech-to-text and text-to-speech conversion. 

Vision APIs delve into computer vision, from image analysis to object recognition. Decision APIs aid in better decision-making through anomaly detection and content moderation. Azure's integrated solutions make it ideal for Windows-based operations, whether on-premise or in the cloud. 

With machine learning APIs handling tasks from speech recognition to predictive analytics, Azure can definitely grant your business lots of sophisticated AI capabilities.



OpenAI API is a versatile tool offered by OpenAI, a leading AI company, providing access to advanced natural language processing models through GPT-4, ChatGPT, and DALL-E. It has gained significant popularity, with ChatGPT collecting over 100 million users in just two months after launch.

The API supports various language-related tasks such as translation, sentiment analysis, text completion, and more, making it suitable for a wide range of applications, from chatbots and virtual assistants to content analysis and research. 

ChatGPT API integrates sophisticated language models into applications, supporting conversational agents and content generation. DALL-E 3 enables users to create original images up to 1024x1024 pixels based on text prompts.


AssemblyAI is a San Francisco-based company that offers advanced AI-powered speech recognition services. Their technology leverages deep learning algorithms to accurately transcribe audio content from various sources, including videos, phone calls, and voice recordings. 

The company's platform provides APIs and tools that enable developers to seamlessly integrate their speech recognition capabilities into applications, products, or services. This allows for a diverse range of use cases, such as transcription services, voice assistants, and voice analytics. 

By providing production-ready, scalable, and secure AI models, AssemblyAI wants to make high-quality speech recognition more accessible and reliable for both businesses and simple developers.

Hugging Face

Hugging Face is a leading US-based company in the field of artificial intelligence, known for its platform that enables easy deployment and use of open-source machine learning models. 

The company's Serverless Inference API offers a comprehensive suite of features, including access to over 150,000 pre-trained models for a wide range of AI tasks, the ability to upload and manage custom models, and accelerated inference for improved performance.

The API provides a plug-and-play solution for integrating natural language processing, computer vision, and audio models into applications, allowing businesses to harness the power of machine learning without the complexities of MLOps.

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DeepL, a German-based company, is a world leader in machine translation, known for its powerful online translator and API. The DeepL API provides programmatic access to the company's advanced neural machine translation technology, enabling developers to seamlessly integrate high-quality translation capabilities into their websites, applications, and enterprise systems.

The API supports a wide range of use cases, including website localization, global team communication, and building multilingual products. It allows users to translate text and documents in various formats, with the ability to scale and maintain data security. 

Additionally, the API has been integrated into leading computer-assisted translation (CAT) tools, empowering translators to leverage DeepL's state-of-the-art neural translations within their preferred workflow.


Clarifai is a renowned AI company specializing in visual recognition and computer vision technology. Clarifai's AI technology has applications across industries like e-commerce, media, healthcare, and security.

Their platform enables developers and businesses to analyze and comprehend visual content through robust tools and APIs. Clarifai's services include image and video recognition, object detection, concept extraction, and custom model training. 

Using advanced algorithms, the company accurately identifies and classifies objects, scenes, and concepts within visual media. This functionality empowers users to extract valuable insights, facilitating applications such as visual search, content moderation, and recommendation systems. 


Anthropic is a startup focused on AI safety and research, aiming to create trustworthy, interpretable, and steerable AI systems. Their API, featuring Claude, is designed to integrate sophisticated dialogue and creative content generation into any application. 

Claude excels at a wide range of tasks, from generating detailed instructions to engaging in complex reasoning and thoughtful dialogue. The API is designed to be helpful, honest, and harmless, making it suitable for various applications.



Cohere is a Canadian company that offers access to advanced Large Language Models and NLP tools. It provides APIs for advanced text generation and natural language processing. Their models can automate tasks such as content creation, summarization, and classification. The platform offers high-quality text generation and is particularly well-suited for applications requiring natural language interaction.

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What to look for?

When selecting an AI API for a project, it is crucial to evaluate the unique capabilities that match your project's requirements. 

Consider the type of AI functionality your project necessitates, such as natural language processing or image and video analysis. Ensure the API you choose can deliver the necessary features.

Integration is another vital factor. A seamless integration process with your current system or application is essential. Look for APIs with comprehensive documentation and extensive support for popular programming languages and frameworks.

Finally, consider the pricing structure. Evaluate the long-term costs involved, including any usage limits or additional fees. 

Remember, the best AI API for your project depends on your specific needs and objectives. Testing out multiple APIs can help determine which one delivers the optimal performance and value for your project.

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CEO and Founder of Merge

My mission is to help startups build software, experiment with new features, and bring their product vision to life.

My mission is to help startups build software, experiment with new features, and bring their product vision to life.

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