There are many AI APIs available today, offering a wide range of capabilities such as natural language processing, computer vision, speech recognition, and more. It is difficult to determine an exact number, as new APIs are constantly being developed and released.
Eden AI’s AI APIs dataset has been created by collecting and analyzing data on the API industry for the past year.
AI APIs play a central role in the development of organizations to create digital solutions and it can be difficult to find comprehensive data on the wide range of AI APIs available on the market.
This API Landscape aims to provide a comprehensive overview of the tools available and to provide insights into the growth and development of AI APIs globally across all industries.
You can also access those AI APIs on this sheet. It should be noted that Eden AI maintains a neutral stance and does not have any interest in promoting one supplier over another.
An API, or application programming interface, is a set of rules and protocols that defines how two software systems can communicate with each other.
AI APIs allow developers to incorporate advanced AI capabilities into their applications or services by making requests to the API and receiving responses. This can be done using various programming languages and frameworks, depending on the API provider and the specific requirements of the project.
A faster and better way to use AI APIs is through Eden AI. Eden AI offers a unified approach for all providers and has quick switch access to specific features like diarization, timestamps, noise filter etc.
There are many different ways that AI APIs can be used, including:
Computer vision APIs use advanced machine learning algorithms to extract information from visual media, such as recognizing objects, people, and faces, doing similarity search, anonymizing faces, moderating explicit content, and so on.
Computer vision APIs can be used to build a wide range of applications, such as image recognition systems, object detection tools, and video analysis platforms.
Speech recognition APIs use advanced machine learning algorithms to analyze and understand spoken language, enabling the creation of voice-enabled applications such as voice assistants, transcription tools (speech-to-text and text-to-speech), and more.
Speech recognition APIs can support a wide range of languages and accents, and often offer additional features such as speaker identification and language detection.
Translation APIs use natural language processing (NLP) algorithms to detect text written in one language, and then translate that text into another. Translation APIs can be used to build a wide range of applications, such as language translation tools, chatbots, and multilingual websites.
Text APIs use natural language processing (NLP) algorithms to analyze and understand human language, and can be used to build a wide range of applications that involve working with text data.
Some examples of functionality that might be offered by a text API include language detection, sentiment analysis, NER, keyword extraction, summarization, question answering, syntax analysis, text anonymization, and more.
Document parsing APIs use OCR (Optical Character Recognition) and NLP (Natural Language Processing) to extract text and other information from various documents, such as resume, invoice, receipt, IDs/passeports, etc. The extracted information can then be used for various purposes, such as text analytics, data extraction, or content management.
Document Parsing APIs can be used to build applications such as document scanning and conversion tools, invoice processing systems, and more.
Generative APIs are a type of AI API that use machine learning algorithms to generate new content based on a given set of inputs. One common use case for generative APIs is the creation of original content, such as articles or descriptions.
A generative API might be trained on a large dataset of existing text, and then be able to generate new text that is similar in style and content to the examples in the dataset.
There are many AI APIs available on the market, each with its own unique set of capabilities and features. When choosing an AI API for a project, it is important to consider the specific needs of the project and how the API can meet those needs.
Here are a few things to consider when choosing an AI API :
Ultimately, the best AI API for you will depend on your specific needs and goals. Try out a few different APIs to see which one works best for your project.
Using Eden AI API is quick and easy.
We offer a unified API for all providers: simple and standard to use, with a quick switch that allows you to have access to all the specific features very easily (diarization, timestamps, noise filter, etc.).
The JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
With Eden AI you can integrate a third-party platform: we can quickly develop connectors. To go further and customize your API request with specific parameters, check out our documentation.