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Best AI Tools for App Development: Paid and Free Versions That No Longer Work

  • January 25, 2025
  • udeme
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In today’s fast-paced digital world, artificial intelligence (AI) has transformed various industries, including app development. AI-powered tools have made it easier for developers to create, test, and deploy applications more efficiently. However, not all AI tools that were once popular remain functional. In this article, we’ll delve into the best AI tools for app development, highlight their paid and free versions, and explore some that have become obsolete.

Let’s get started on this journey through the landscape of AI app development tools.

What Are AI Tools for App Development?

AI tools for app development are software platforms that leverage machine learning, natural language processing, and other AI technologies to simplify various stages of the app creation process. These tools assist developers in writing code, debugging, optimizing user interfaces, and even creating entire applications autonomously.

Why AI Tools Are Crucial for App Developers

AI has significantly impacted app development by automating repetitive tasks, improving accuracy, and enabling faster product launches. With AI tools, developers can enhance user experience (UX), predict user behavior, and create smart, adaptable applications. Without them, the process of app development could be labor-intensive, time-consuming, and error-prone.

How to Choose the Best AI Tool for App Development

Before diving into specific tools, let’s take a look at the factors that developers should consider when choosing the best AI tool for their needs:

Budget: Does the tool offer a free version or is it entirely paid?

Ease of Use: How easy is it to integrate into existing workflows?

Capabilities: Can the tool handle the specific tasks required for the project?

Support: Is there adequate support and community resources available?

Best Paid AI Tools for App Development

  1. IBM Watson

IBM Watson is one of the most powerful AI platforms available for app development. It offers machine learning, natural language processing, and AI-powered decision-making features, making it ideal for both small and large-scale projects.

Pricing: Paid version starting at $140 per month.

Pros: Highly scalable, suitable for complex tasks, strong support.

Cons: High learning curve, expensive for smaller projects.

  1. TensorFlow

TensorFlow, developed by Google, is an open-source platform primarily focused on machine learning. While it’s free for basic use, its advanced features and large-scale deployments require enterprise-level support which comes at a cost.

Pricing: Free and paid (for enterprise support).

Pros: Wide community support, versatile, extensive documentation.

Cons: Complex for beginners, requires deep technical knowledge.

  1. Microsoft Azure AI

Azure AI, a part of Microsoft’s cloud service, provides a range of AI tools that integrate seamlessly with app development processes. It supports language understanding, vision, and decision-making AI capabilities.

Pricing: Paid version starting at $24 per month.

Pros: Robust integration with other Microsoft services, powerful AI capabilities.

Cons: Can be expensive, limited free-tier offerings.

  1. H20.ai

H20.ai is an open-source AI platform offering deep learning and machine learning solutions. It’s widely used in predictive analytics and automated machine learning, allowing app developers to create highly intelligent applications.

Pricing: Paid version starting at $400 per user/month.

Pros: Advanced machine learning capabilities, great for data-driven apps.

Cons: Steep pricing for individual developers or small businesses.

  1. AWS AI Services

Amazon Web Services (AWS) offers AI tools through their platform, which includes features like image recognition, language understanding, and predictive analytics. These tools are great for developers looking to leverage powerful AI in their apps.

Pricing: Paid, with a free tier available for limited use.

Pros: Seamless integration with other AWS services, highly scalable.

Cons: Can get expensive, learning curve for beginners.

Best Free AI Tools for App Development

  1. Google ML Kit

Google’s ML Kit is a mobile SDK that brings machine learning to both Android and iOS apps. It’s entirely free, making it perfect for developers working on a budget.

Pricing: Free.

Pros: Cross-platform, easy to use, great for image and text recognition.

Cons: Limited to Google services, lacks some advanced features.

  1. OpenAI GPT-3 Playground

OpenAI’s GPT-3 is a powerful AI tool for natural language processing, and the GPT-3 Playground allows developers to test and integrate GPT-3 features into their apps for free.

Pricing: Free for basic use.

Pros: Natural language processing, versatile use cases.

Cons: Limited availability, API access can become costly after free usage.

  1. Weka

Weka is an open-source machine learning tool that provides a comprehensive collection of machine learning algorithms. It’s a great resource for developers looking to integrate AI-driven data analytics into their apps.

Pricing: Free.

Pros: User-friendly, no coding required, great for academic and research purposes.

Cons: Limited to data analytics, lacks modern AI features.

  1. Keras

Keras is another open-source deep learning framework that is simple and easy to use, making it great for beginners. It allows app developers to quickly build and deploy machine learning models.

Pricing: Free.

Pros: User-friendly, integrates with TensorFlow.

Cons: Limited standalone features, relies on TensorFlow for complex tasks.

  1. Dialogflow

Dialogflow, another tool from Google, specializes in natural language understanding, allowing developers to create conversational apps and chatbots for free.

Pricing: Free (basic version).

Pros: Easy to use, great for building chatbots.

Cons: Limited in terms of more complex app functions, paid versions needed for advanced features.

AI Tools for App Development That No Longer Work

  1. Clarifai (Free Version)

Clarifai was once a popular AI tool for image and video recognition. While the paid version is still available, the free tier has been discontinued, making it inaccessible to many small-scale developers.

Reason for Obsolescence: High operational costs led to the discontinuation of the free version.

  1. Api.ai (Rebranded and Paid Only)

Api.ai, which was once a free and widely-used tool for building conversational apps, has been rebranded as Dialogflow and now operates on a paid model for advanced features.

Reason for Obsolescence: Transition to a paid model after acquisition by Google.

  1. Wit.ai

Wit.ai was an AI platform specializing in natural language processing and voice recognition. While it was initially free, it is no longer actively maintained, rendering it obsolete for new projects.

Reason for Obsolescence: Lack of updates and active development.

  1. Microsoft Cognitive Toolkit (CNTK)

CNTK was once Microsoft’s flagship deep learning framework. However, it has since been discontinued and replaced by more advanced AI services within Azure.

Reason for Obsolescence: Replaced by Azure AI services.

  1. Algorithmia (Free Version Discontinued)

Algorithmia was a marketplace for AI models, but the free tier has been discontinued. Developers now need to pay for any significant usage of its AI tools.

Reason for Obsolescence: Shift to a fully paid model after acquisition.

Key Factors to Consider When Selecting an AI Tool

When choosing an AI tool for app development, it’s essential to weigh the following factors:

 

Cost: Free versions may seem appealing, but they often come with limitations. Consider the scalability of paid versions.

Complexity: Some AI tools are simple and easy to use, while others require in-depth technical knowledge.

Support and Documentation: Having access to community forums, documentation, and customer support is crucial for troubleshooting.

Use Cases: Make sure the tool you select aligns with your app’s specific requirements.

 

Conclusion

The landscape of AI tools for app development is vast and constantly evolving. While some tools offer powerful capabilities for a price, others provide excellent features for free. However, as we’ve seen, not all tools stand the test of time, with some no longer being supported or having free versions discontinued.

 

Ultimately, the best AI tool for you depends on your project’s specific needs, budget, and level of expertise. It’s crucial to stay updated on industry trends to ensure you’re using tools that are both effective and sustainable.

 

FAQs

  1. What are the best free AI tools for app development? Some of the best free AI tools include Google ML Kit, OpenAI GPT-3 Playground, and Weka.

 

  1. Why do some AI tools become obsolete? AI tools may become obsolete due to a lack of updates, high operational costs, or because the company has shifted focus to a paid-only model.

 

  1. How do AI tools help in app development? AI tools assist developers by automating coding, testing, debugging, and even creating apps, significantly speeding up the development process.

 

  1. Is it worth paying for AI tools? If your app project requires advanced features or high scalability, investing in paid AI tools can save time and provide better results.

 

  1. Which AI tool is best for beginners in app development? For beginners, Keras and Google ML Kit are great options due to their user-friendly interfaces and extensive documentation.

 

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