Best 5 Machine Learning APIs to use in 2023
Machine learning APIs have revolutionized the way businesses and developers approach data analysis and decision-making. With the abundance of options available, it can be overwhelming to choose the best one for your needs. In this article, we will explore some of the top machine learning APIs and their unique features to help you make an informed decision.
What are Machine Learning APIs
Machine learning APIs are pre-built software components that allow developers to integrate machine learning capabilities into their applications without having to build the models from scratch. These APIs provide a set of tools and algorithms that can be used to train and deploy machine learning models for various tasks such as image recognition, natural language processing, and predictive analytics.
Machine learning APIs typically provide a set of pre-trained models that can be used to perform specific tasks. For example, an image recognition API might provide pre-trained models for identifying objects in images, while a natural language processing API might provide pre-trained models for sentiment analysis or language translation.
Using machine learning APIs can save developers a significant amount of time and resources, as they do not need to build and train their own models from scratch. Additionally, machine learning APIs are often designed to be easy to use, with simple interfaces and clear documentation, making it easier for developers to integrate them into their applications.
Main Use Cases of Machine Learning APIs
Machine learning APIs are used in a variety of applications across different industries. Here are some of the main use cases:
-
Image and Video Recognition: Machine learning APIs can be used to identify objects, people, and actions in images and videos. This can be useful in applications such as security cameras, social media platforms, and e-commerce websites.
-
Natural Language Processing: Machine learning APIs can be used to analyze and understand human language. This can be useful in applications such as chatbots, virtual assistants, and sentiment analysis.
-
Recommendation Systems: Machine learning APIs can be used to recommend products, services, or content to users based on their preferences and behavior. This can be useful in applications such as e-commerce websites, streaming platforms, and social media platforms.
-
Predictive Analytics: Machine learning APIs can be used to analyze data and make predictions about future events or trends. This can be useful in applications such as financial forecasting, risk management, and supply chain optimization.
-
Fraud Detection: Machine learning APIs can be used to detect fraudulent activities in real-time. This can be useful in applications such as banking, insurance, and e-commerce.
-
Healthcare: Machine learning APIs can be used to analyze medical data and assist in diagnosis, treatment, and drug discovery. This can be useful in applications such as personalized medicine, clinical decision support, and disease surveillance.
-
Autonomous Systems: Machine learning APIs can be used to enable autonomous systems such as self-driving cars, drones, and robots. This can be useful in applications such as transportation, logistics, and manufacturing.
Overall, machine learning APIs have a wide range of use cases and can be applied to almost any industry or application that involves data analysis and decision-making.
Best Machine Learning Apis - Our top picks
| Dimension | Amazon ML | BigML | Automation Anywhere |
|---|---|---|---|
| Proven Leadership | ✔️ | ❌ | ❌ |
| Generative AI | ✔️ | ❌ | ✔️ |
| Flexible Customization | ✔️ | ❌ | ❌ |
| ML Adoption Support | ✔️ | ❌ | ❌ |
| Comprehensive Platform | ❌ | ✔️ | ✔️ |
| Immediate Access | ❌ | ✔️ | ❌ |
| Interpretable & Exportable Models | ❌ | ✔️ | ❌ |
| Collaboration | ❌ | ✔️ | ❌ |
| Programmable & Repeatable | ❌ | ✔️ | ❌ |
| Automation | ❌ | ✔️ | ✔️ |
| Flexible Deployments | ❌ | ✔️ | ❌ |
| Security & Privacy | ❌ | ✔️ | ✔️ |
| Pricing | |||
| Pay-as-You-Go | ✔️ | ❌ | ✔️ |
| Usage-Based Pricing | ✔️ | ❌ | ❌ |
| Transparent Cost Estimation | ✔️ | ❌ | ❌ |
| Free Tier | ✔️ | ❌ | ❌ |
| Subscription Model | ❌ | ✔️ | ✔️ |
| Enterprise Pricing | ❌ | ❌ | ✔️ |
| Strengths | Comprehensive set of AI and ML services, proven leadership, generative AI capabilities, flexible customization, and ML adoption support. | Range of features designed to make machine learning accessible to businesses of all sizes, competitive pricing, and automation features. | Infused with generative AI, AI-powered assistant, flexible pricing options, and a variety of use cases. |
| Weaknesses | Limited platform features, no immediate access to machine learning models, and models are not easily interpretable or exportable. | Limited generative AI capabilities, no support for ML adoption, and limited deployment options. | Limited platform features, no usage-based pricing, and limited transparency in cost estimation. |
The Best 5 Machine Learning APIs to use in 2023
Microsoft Azure Text Analytics offers a comprehensive set of features for natural language processing (NLP) that can extract, classify, and understand text within documents. With Text Analytics, users can gain insights from unstructured text without requiring machine-learning expertise. The platform offers sentiment analysis, key phrase and entity recognition, document summarization, and domain-specific, pretrained models for medical terminology classification. Text Analytics can evaluate text in a wide range of languages, making it a versatile tool for businesses operating globally.
Pricing
Microsoft Azure Text Analytics offers flexible pricing options that allow users to pay as they go based on the number of transactions, with no upfront costs. The platform offers a free trial with a $200 credit to use within 30 days, which includes free amounts of many of their most popular services, plus free amounts of 55+ other services that are always free. After the trial, users can move to pay as they go to keep building with the same free services. They only pay if they use more than their free monthly amounts. After 12 months, users will keep getting 55+ always-free services and still pay only for what they use beyond their free monthly amounts.
Overall Review and Conclusion
Microsoft Azure Text Analytics is one of the best machine learning APIs available for businesses looking to gain insights from unstructured text. The platform offers a comprehensive set of features for NLP, including sentiment analysis, key phrase and entity recognition, document summarization, and domain-specific, pretrained models for medical terminology classification. The pricing options are flexible and affordable, making it accessible to businesses of all sizes. Additionally, Microsoft invests more than USD 1 billion annually on cybersecurity research and development, ensuring comprehensive security and compliance for users. Overall, Microsoft Azure Text Analytics is a powerful tool that can help businesses better understand customer perception, automate workflows, and gain insights from unstructured data.
Amazon ML stands out as one of the premier machine learning (ML) APIs available today. With a comprehensive set of artificial intelligence (AI) and ML services, infrastructure, and implementation resources, Amazon ML empowers users to innovate faster and gain deeper insights from their data while lowering costs. Here are some notable general features of Amazon ML:
-
Proven Leadership: Amazon ML is built by Amazon, a trusted and proven leader in the industry. With over 20 years of experience, Amazon has a track record of solving real-world business problems in various industries.
-
Generative AI: Amazon ML allows users to reinvent customer experiences with generative AI. Whether building new applications or utilizing services with generative AI built-in, Amazon ML offers a cost-effective cloud infrastructure for generative AI.
-
Flexible Customization: Amazon ML enables users to tailor ML to their specific business needs. It provides ready-made, purpose-built AI services that address common business problems, as well as the ability to use their own models with AWS ML services.
-
ML Adoption Support: Amazon ML supports users at every stage of their ML adoption journey. From kickstarting proof of concepts with AWS experts to upskilling teams through training and hands-on tutorials, Amazon ML provides the necessary support for successful ML adoption.
Pricing
When it comes to pricing, Amazon ML offers a flexible and cost-effective model that caters to various user requirements. The pricing structure is designed to accommodate different workloads and scales based on usage. Here are key points regarding Amazon ML pricing:
-
Pay-as-You-Go: With Amazon ML, users only pay for what they use. There are no upfront costs or long-term commitments, allowing for cost-effective experimentation and scalability.
-
Usage-Based Pricing: Pricing is based on the actual usage of ML services, such as training models, making predictions, and storing data. Users have control over the resources they consume, ensuring efficient cost management.
-
Transparent Cost Estimation: Amazon ML provides cost estimation tools and detailed pricing documentation to help users understand and plan for their ML expenses. This transparency allows for better budgeting and cost optimization.
-
Free Tier: Amazon ML offers a Free Tier option that allows users to get started with ML services at no cost for a certain usage level. This provides an opportunity to explore and experiment without incurring charges.
Overall Review and Conclusion
In conclusion, Amazon ML is undoubtedly one of the best machine learning APIs available in the market. Its comprehensive set of AI and ML services, along with the support and resources provided, make it a valuable tool for businesses of all sizes. The general features of Amazon ML, including its proven leadership, generative AI capabilities, and flexibility for customization, set it apart from its competitors.
Automation Anywhere offers one of the best machine learning APIs in the market. Their platform, Automation Success, is infused with generative AI that can be used to transform any team, system, and process. In this review, we will discuss the general features, pricing, and overall conclusion of Automation Anywhere’s machine learning APIs.
General Features
Automation Anywhere’s machine learning APIs are infused across their Automation Success platform. They offer generative AI that can be used to interpret and create text, images, and content. Their platform also includes intelligent document processing, process discovery, and resiliency features. Automation Co-Pilot, their AI-powered assistant, is embedded in every application and can be used by business users and automators alike. It enables natural language requests for automations, personalized content generation, and document summarization.
Automation Anywhere’s machine learning APIs can be used for a variety of use cases, including customer complaint resolution, customer inquiry sentiment analysis, order lookup, email triage for CPG, patient message triage, after-visit summary for patients, medical summary for practitioners, AML transaction monitoring, invoice processing, and much more.
Pricing
Automation Anywhere offers flexible pricing options for their machine learning APIs. They have a pay-as-you-go model that allows users to pay only for what they use. They also offer enterprise pricing for larger organizations that require more advanced features and support.
Overall Review and Conclusion
Automation Anywhere’s machine learning APIs are some of the best in the market. Their platform, Automation Success, is infused with generative AI that can be used to transform any team, system, and process. Their AI-powered assistant, Automation Co-Pilot, is embedded in every application and can be used by business users and automators alike. They offer flexible pricing options and a variety of use cases. Overall, Automation Anywhere’s machine learning APIs are a great choice for organizations looking to automate their processes and increase productivity.
Geneea NLP API is one of the best machine learning APIs available in the market today. It offers a range of features that make it stand out from its competitors. In this review, we will take a closer look at the general features, pricing, and overall performance of Geneea NLP API.
General Features
Geneea NLP API offers four types of public API:
- General API (G3) - general purpose NLP, i.e., detecting language, names, sentiment, etc. in documents
- Media API V1 (deprecated) (M1) - semantic tagging of newspaper articles
- Media API V2 (M2) - newest version of our Media API; offers entities, suggestions of photos and related articles, and more
- VoC API (C1) - analyzing customer feedback, or routing and analysis of customer support
- Intent Detection - detecting intent in chat turns; primarily aimed to handle common L1 questions
One of the strengths of Geneea NLP API is its ability to customize these models to suit your needs, whether it means handling custom product names, custom categories, or custom sentiment. Additionally, Geneea NLP API offers a range of SDKs and a Knowledge Base to help developers integrate the API into their applications seamlessly.
Pricing
Geneea NLP API offers flexible pricing plans to suit the needs of different businesses. The pricing is based on the number of API calls made per month. The pricing plans start from as low as €99 per month for 10,000 API calls and go up to €999 per month for 500,000 API calls. For businesses with higher API call volumes, Geneea NLP API offers custom pricing plans.
Overall Review and Conclusion
Overall, Geneea NLP API is a powerful and flexible machine learning API that offers a range of features to help businesses leverage their text data. Its ability to customize models to suit specific needs and its range of SDKs make it an excellent choice for developers. The pricing plans are flexible and affordable, making it accessible to businesses of all sizes. In conclusion, we highly recommend Geneea NLP API to businesses looking for a reliable and powerful machine learning API.
BigML is a comprehensive machine learning platform that offers a range of features to help businesses make data-driven decisions. Their API is one of the best in the market, providing immediate access to a range of machine learning models that can be easily interpreted and exported.
General Features
BigML’s API offers a range of features that make it stand out from other machine learning APIs. These include:
-
Comprehensive platform: BigML’s platform offers a range of tools and features to help businesses make the most of their data. This includes data visualization, data preprocessing, and a range of machine learning models.
-
Immediate access: With BigML’s API, businesses can get immediate access to a range of machine learning models, without the need for extensive training or expertise.
-
Interpretable & exportable models: BigML’s models are designed to be easily interpretable, making it easy for businesses to understand how the model is making predictions. Additionally, models can be easily exported to other platforms, making it easy to integrate with existing workflows.
-
Collaboration: BigML’s platform allows for easy collaboration between team members, making it easy to share data and models.
-
Programmable & repeatable: BigML’s API is programmable, allowing businesses to automate their machine learning workflows. Additionally, models can be easily repeated, making it easy to test and refine models over time.
-
Automation: BigML’s platform offers a range of automation features, including automatic model selection and hyperparameter tuning.
-
Flexible deployments: BigML’s models can be deployed in a range of environments, including on-premise, in the cloud, or on mobile devices.
-
Security & privacy: BigML takes security and privacy seriously, offering a range of features to ensure that data is kept safe and secure.
Pricing
BigML offers a range of pricing options to suit businesses of all sizes. Their pricing is based on a subscription model, with plans starting at $99 per month. Additionally, businesses can opt for private deployments, which offer additional security and customization options.
Overall Review and Conclusion
Overall, BigML’s machine learning API is one of the best in the market. With a range of features designed to make machine learning accessible to businesses of all sizes, BigML offers a comprehensive platform that can help businesses make data-driven decisions. Additionally, their pricing is competitive, making it an affordable option for businesses looking to get started with machine learning.
