List of 35 Best Free Artificial Intelligence Tools To Try in 2025

List of 35 Best Free Artificial Intelligence Tools To Try in 2025: Artificial Intelligence (AI) has revolutionized various industries by providing tools that enhance productivity, automate processes, and offer deep insights through data analysis. Here, we present the 35 best free AI tools that you can use to leverage the power of AI for your personal and professional projects.

These AI tools offer a wide range of functionalities from simple drag-and-drop interfaces to powerful machine learning libraries, making AI accessible to both beginners and experienced professionals. Whether you’re looking to build a chatbot, analyze data, or create stunning visual effects, there’s a free AI tool that can help you achieve your goals.

List of 35 Best Free Artificial Intelligence Tools
List of 35 Best Free Artificial Intelligence Tools

List of 35 Best Free Artificial Intelligence Tools

Here is the list of all 35 best free Artificial Intelligence tools to boost your productivity and save you time. Here is a table listing the 35 best free artificial intelligence tools, including their key features and links to access them:

No. Tool Name Key Features
1 TensorFlow Open-source library for machine learning and AI. Supports deep learning, and flexible architecture.
2 Keras High-level neural networks API, running on top of TensorFlow. Easy to use, fast prototyping.
3 Scikit-learn Simple and efficient tools for predictive data analysis. Built on NumPy, SciPy, and Matplotlib.
4 PyTorch Open-source machine learning library based on the Torch library. Widely used for deep learning.
5 Apache Mahout Distributed linear algebra framework and mathematically expressive Scala DSL.
6 RapidMiner Data science platform with a visual workflow designer. No programming is required.
7 Weka Collection of machine learning algorithms for data mining tasks. Easy to use GUI.
8 KNIME Open-source analytics platform. Visual workflow builder.
9 Orange Data mining and visualization tool for novices and experts. Interactive workflows.
10 H2O.ai Open-source AI platform. Supports deep learning and machine learning.
11 Microsoft Cognitive Toolkit (CNTK) Open-source deep-learning toolkit. Highly efficient.
12 OpenNN Open-source neural networks library. Efficient and fast.
13 Deeplearning4j Open-source, distributed deep learning for Java and Scala. Integrates with Hadoop and Spark.
14 Turi Create Simplifies the development of custom machine learning models.
15 IBM Watson Studio Data science and AI lifecycle management. Collaborative environment.
16 Google Colab Free Jupyter Notebook environment. Supports TensorFlow, Keras, and PyTorch.
17 Jupyter Notebook Open-source web application for creating and sharing documents with live code.
18 Anaconda Open-source distribution of Python and R for scientific computing. Package manager included.
19 Google ML Kit Mobile SDK that brings Google’s machine learning expertise to Android and iOS apps.
20 Apache MXNet Deep learning framework designed for both efficiency and flexibility.
21 Ludwig Open-source toolbox to train and test deep learning models without writing code.
22 Cortex Build and deploy machine learning models in production.
23 MLflow An open-source platform for managing the end-to-end machine learning lifecycle.
24 DVC Open-source version control system for machine learning projects.
25 Streamlit Open-source app framework for machine learning and data science.
26 MindsDB Open-source AI layer for existing databases.
27 Hugging Face Open-source library for NLP tasks. Pre-trained models and tools.
28 Fast.ai Free courses and software for deep learning.
29 Dask Open-source parallel computing library.

1. TensorFlow

TensorFlow is an open-source library developed by Google. It is widely used for machine learning and deep learning applications, enabling users to build and train models with ease.

2. Keras

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow. It allows for fast experimentation with deep neural networks.

3. PyTorch

Developed by Facebook, PyTorch is an open-source machine-learning library that provides flexibility and speed, making it ideal for research and production.

4. Scikit-learn

Scikit-learn is a free machine-learning library for Python. It features various classification, regression, and clustering algorithms including support vector machines, random forests, and k-means.

5. Hugging Face Transformers

This library provides state-of-the-art pre-trained models for natural language processing tasks like text classification, translation, and summarization.

6. OpenAI GPT-3 Playground

OpenAI offers a playground to experiment with GPT-3, a powerful language model that can generate human-like text based on the input it receives.

7. Google Colab

Google Colab provides a free cloud service to run Python code in a Jupyter Notebook environment with access to GPUs, making it ideal for machine learning experiments.

8. IBM Watson Studio

IBM Watson Studio provides a suite of tools for data scientists, application developers, and subject matter experts to collaboratively and easily work with data.

9. Microsoft Azure Machine Learning Studio

This tool offers a drag-and-drop interface for building, testing, and deploying machine learning models without needing to write a single line of code.

10. RapidMiner

RapidMiner is a powerful data science platform that integrates data preparation, machine learning, and predictive model deployment.

11. DataRobot

DataRobot offers an automated machine-learning platform that allows users to build and deploy predictive models quickly and efficiently.

12. Orange

Orange is an open-source machine learning and data visualization suite for both novice and expert users, providing interactive workflows.

13. KNIME

KNIME is an open-source platform for data analytics, reporting, and integration. It allows users to create data flows, execute selected analysis steps, and inspect the results.

14. Weka

Weka is a collection of machine-learning algorithms for data mining tasks. It provides tools for data pre-processing, classification, regression, clustering, and visualization.

15. Apache Mahout

Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms.

16. Turi Create

Developed by Apple, Turi Create simplifies the development of custom machine learning models. It is especially useful for those working with iOS applications.

17. DeepDream

DeepDream is a computer vision program created by Google to enhance and modify images, producing dream-like hallucinogenic visuals.

18. RunwayML

RunwayML provides an easy-to-use interface for running machine learning models. It allows creatives to explore and deploy AI in their projects without extensive programming knowledge.

19. AI Dungeon

AI Dungeon is an interactive text-based adventure game powered by AI, offering endless possibilities for storytelling and game design.

20. Lobe

Lobe, a Microsoft product, enables users to build custom machine learning models with a simple drag-and-drop interface, focusing on image classification tasks.

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21. Teachable Machine

Teachable Machine by Google makes it easy for anyone to create machine learning models quickly, focusing on image, sound, and pose detection.

22. Fritz AI

Fritz AI provides tools to build and deploy machine learning models directly on mobile devices, optimizing performance for real-time applications.

23. BigML

BigML provides a user-friendly interface to create and deploy machine learning models, making it accessible for business analytics and predictive modelling.

24. H2O.ai

H2O.ai is an open-source machine learning platform that provides scalable and distributed machine learning algorithms for data scientists and developers.

25. Spell

Spell offers a cloud-based platform for training and deploying machine learning models, emphasizing simplicity and ease of use.

26. Cortex

Cortex allows you to build and deploy serverless AI models, enabling integration with existing applications without managing infrastructure.

27. Dataiku

Dataiku is a collaborative data science and machine learning platform that helps organizations turn raw data into actionable insights.

28. MindMeld

MindMeld, developed by Cisco, is a platform for building conversational AI applications, such as chatbots and voice assistants.

29. Chainer

Chainer is an open-source deep learning framework that provides a flexible and intuitive way to build neural networks, especially suitable for researchers.

30. Gensim

Gensim is an open-source library for topic modelling and document similarity analysis, making it ideal for natural language processing tasks.

31. NVIDIA DIGITS

DIGITS is a deep learning GPU training system that allows users to train models with deep neural networks for image classification and object detection tasks.

32. Vowpal Wabbit

Vowpal Wabbit is an efficient machine learning system for large-scale learning tasks, offering speed and performance for online learning applications.

33. ConvNetJS

ConvNetJS is a JavaScript library for training neural networks in the browser, providing a simple interface for deep learning experiments.

34. ML5.js

ML5.js aims to make machine learning accessible to a broad audience of artists, creative coders, and students, offering easy-to-use tools for integrating AI into web projects.

35. fast.ai

fast.ai provides practical deep learning courses and an easy-to-use library built on top of PyTorch, focusing on making deep learning more accessible to everyone.

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