Top 10 Generative AI Tools and Apps for 2025

Generative AI has become one of the most adopted technologies by the tech community. There was a time when we all wished to instantly brainstorm creative ideas, generate realistic images, or write compelling marketing copy — and today, here we are, doing all of it with generative AI tools and apps. Contentful’s survey, which was conducted among 820 people, indicates that 37% of global generative AI users save around 5-10 hours a week. For many of us, it is around an entire working week freed up from the usual writing, editing, documenting, and designing work.

Although each individual’s list may differ, the amount of time and effort that goes into it remains the same. We all have a list of repetitive tasks that can be easily automated data with Generative AI. Gen AI-powered tools and applications address these pain points and help you complete your daily tasks within minutes. It’s time to explore the generative AI tools and apps and use them in our day-to-day life. This blog gives you 10 generative AI tools and apps that can be a game changer in building your new generative AI strategy.

Table of Contents

Top 10 Generative AI Tools & Apps

Generative AI tools and apps use artificial intelligence to generate the desired output based on the prompt provided. They work by finding patterns in the data they have been trained on and then applying that knowledge to produce a unique output.

1. Notion AI

Notion AI is an updated version of notion with advanced AI features in Notion’s workspace, including an AI Assistant with which you can chat. It gives answers and has a text generator that prompts you to create, edit, summarize, and translate content, even within databases. It improves note-taking, content creation, and knowledge management by generating text summarizing and automating repetitive tasks. It boosts team productivity and helps maintain a structured workspace.

Key Features:

Smart Summarization: Quick summaries of long documents and meeting notes into concise and actionable data.
Task Automation: Enables automation in data extraction, content formatting, and general text-based operations.
Context-Aware Responses: Has an understanding of the Notion environment and provides smart and relevant suggestions.
Seamless Integration: Fully embedded notion interface, enabling AI capabilities without switching apps.

Pros	Cons
Minimizes manual effort and saves time by automating repetitive task	It only has basic AI capabilities and is not as strong as dedicated AI tools like Chatgpt.
Provides smart suggestions based on the environment in a Notion document.	It demands a Notion Plus plan for access, which is not so cost-effective for budget-conscious people.
No technical expertise is required; it is directly integrated into Notion’s familiar interface.	It is limited to Notion’s existing ecosystem, restricting flexibility to standalone AI systems.

2. Midjourney

Midjourney converts NLP prompts into visually appealing, ready-to-use images. Developed for designers and content creators, it enables users to create unique digital artwork, conceptual designs, and photorealistic images. It is hosted on Discord and stands out for its artistic style, making it a go-to tool for creative individuals.

Key Features:

Text to Image Generation: Converts descriptive prompts into visually catching images with impressive details.
Intelligent Artistic Outputs: Perfect for creating high-quality, surreal images that stand out.
Faster Iteration Process: Generates traditional variations quickly, helping artists explore different directions.
Community Driven Approach: It is hosted on discord, where individuals can collaborate, share prompts, and improve results based on prompts.

Pros	Cons
Produces high-quality artwork with minimal effort.	A free trial is available, but continued usage requires a paid subscription.
Has the ability to generate multiple variations in seconds	It might not allow the same level of precision as professional design software like Photoshop.
A community-driven approach provides inspiration, feedback, and prompt ideas.	AI-generated visuals have sparked debates around originality and copyright.

3. Runway AI

Runway AI can create quality videos and images using basic text prompts or static visuals. It works best for designers, marketers, and content creators who want to bring their ideas to life without manually editing videos. It offers several tools for changing raw footage, improving visuals, and even generating videos from scratch with AI. It provides a suite of 30+ AI-powered creative tools for generating video, images, animations and more. These are Runway’s own generative AI research, including breakthroughs like Gen-1 for video generation and Stable Diffusion for image generation.

Key Features:

AI-powered Video Generation: Utilizes generative AI models to convert text prompts into high-quality videos.
Background Removal & Green Screen: Removes background without traditional green screen removal, simplifying video editing.
AI-Motion Tracking: Tracks and detects objects in videos, allowing seamless integration of effects.
Real-Time Editing Tools: These features include inpainting (removing unwanted elements), frame interpolation, and slow-motion enhancement.
Cloud-based Platform: It doesn’t need high-end hardware and runs entirely on the web.

Pros	Cons
Simplifies the video editing process	Advanced features require a subscription
Improves story-telling with AI-powered aesthetics	Video content can be inconsistent, requiring humans to be in a loop.
It has precise automation to remove, track, and background changes.	It needs a stable internet connection since it is hosted on the cloud.

4. Chatgpt

Chatgpt is an AI-powered chatbot that utilizes NLP to create humanlike conversational dialogue. ChatGPT is a form of generative AI that lets creators use prompts to receive humanlike images, text, or videos generated through artificial intelligence. Chatgpt is based on generative pre-trained transformers. It is taught through reinforcement learning through iterations or feedback. This continuous feedback helps this LLM to improve for future responses.

Key Features:

Conversational AI: Responds in human-like dialogue, answers questions, provides explanations and quickly delivers creative output.
Content Generation: Can write blog posts, marketing copies and social media content.
Multi-Turn Memory: Saves previous interactions and iterates with each response.
Integration Capabilities: Can be integrated into chatbots, customer service platforms, and enterprise applications.
Customizable AI Models: With GPT-4 and GPT-4 Turbo, businesses can fine-tune models to fit specific use cases.

Pros	Cons
Highly versatile application- from writing to programming to improving customer support.	It requires humans to be in the loop and sometimes produces misleading information.
Refining content quickly saves time, and minimizes manual effort.	Responses lack the latest trends as they lack web browsing capabilities.
Simple Chat Interface, which makes it easy to use.	Lacks originality and produces generic content across systems.

5. Github Copilot

Github Copilot is an AI-powered coding assistant that writes codes for you, requiring minimal effort and saving a lot of time- giving you space to focus on collaboration and strategy. It is an automatic programming tool developed by GitHub and OpenAI. It assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments by autocompleting code.

Key Features:

Seamless IDE Integration: Directly operates with VS Code, JetBrains, and Neovim for a seamless development experience.
Context-Aware Support: Generates relevant and smart completions by analyzing environment codes.
Functional & Comment-Based Suggestions: Based on comments and descriptions, generates code blocks or entire functions.
Automated Code Documentation: It helps generate docstrings and inline documentation to improve code readability.
AI-Powered Testing Support: Enhances software reliability by assisting in generating test cases.

Pros	Cons
It boosts developer productivity by minimizing time on boilerplate code and repetitive tasks.	It can generate code with vulnerabilities if not reviewed.
Improves maintainability- suggests optimized, well-structured codes	It can generate generic and redundant code sometimes.
Shared relevant recommendations based on existing codes.

6. Perplexity AI

It is an AI-powered conversational search engine but calls itself a Swiss army knife for information discovery and curiosity. In simple terms, it is a mix of Chatgpt and Google search but not a direct placement of either. It operates like a chatbot: You ask questions, and it answers them. It also seamlessly pulls in information from recent articles. Furthermore, it indexes the web every day so that you can ask it about recent news, game scores, and other typical search queries.

Key Features:

Multi-Modal Accessibility: Highly accessible as it supports both voice and text-based queries.
Transparent Sources: It links its information sources, improving credibility and fact-checking.
Daily Web Indexing: It continuously updates its database to ensure users get fresh and relevant information.
Summarisation & Deep Research: It can quickly condense complex topics into digestible insights.

Pros	Cons
Provides sourced replies, which reduces the possibility of disinformation.	Despite referencing sources, comments may still be biased based on the data they draw from.
Saves time by condensing large volumes of information into a single response.	Unlike ChatGPT’s fine-tuning capabilities, Perplexity AI provides little control over response generation.
It works as an AI-powered search engine that feels like you’re conversing with an expert.	It can not always produce comprehensive search results like Google.

7. Framer

Without writing a single line of code you can bring your website and application with Framer; a robust and flexible prototyping tool. It is for designers, entrepreneurs, developers, or anyone who wants to quickly and effectively bring an idea to life. Simply, Framer can help turn your idea for a site or application into a reality. It is no-code, easy to use, and flexible.

Key Features:

Pre-Built Components: Gives access to a library of interactive elements to speed up design and development.
Seamless Integrations: Integrates with third-party generative AI tools like Figma, Notion, and Zapier for improved functionality.
Hosting & Deployment: Instant Site Publishing with Framer’s built-in hosting services.
Drag & Drop Interface: Create and customize layouts with an upgraded visual editor
AI-Powered Website Generation: It is AI-powered and generates responsive websites quickly

Pros	Cons
No coding experience is needed, allowing fast prototyping and website creation.	For advance development requirements framer has limited customization.
Design complex animations and interactions effortlessly with intelligent automation	Despite being no-code, mastering all its features can take time.
No external hosting services required—Framer makes launching a breeze.	It can be costly for individuals or small teams.

8. Eleven Labs

ElevenLabs is a software company that develops natural-sounding speech synthesis software using deep learning. This software creates realistic and engaging synthetic speech from written text. This user-friendly platform suits various applications, including content creation, eLearning development, and marketing materials.

Key Features:

Custom Voice Cloning: The generated speech mimics human intonation and emotion.
Adjustable Tone & Emotions: It fine-tunes speech delivery for storytelling, learning, or marketing needs.
API Integration: Easy integration into apps, eLearning platforms, or customer service solutions.
Hyper Realistic AI Voices: The generated speech mimics human intonation and emotion.
Multilingual & Accent Support: It converts text to speech in multiple languages with natural pronunciation.

Pros	Cons
High-quality, lifelike voice generation suitable for various applications.	Advanced features require a paid plan, which may be costly for small creators.
Ideal for global audiences and multilingual content creation.	Potential misuse for deep fake voice replication raises security and ethical issues.
Tailor voices for brand consistency and personalized user experiences.	While highly realistic, some generated voices may still exhibit minor unnatural elements.

9. Huggingface Transformers

Hugging Face is more than simply a platform; it’s a vibrant community and a machine-learning powerhouse. Hugging Face translates abstract notions into live, practical applications by providing the necessary infrastructure for deploying, running, and training machine learning models. Consider it a core point where curiosity meets collaboration, and technology is constructed on the strength of collective intelligence. Beyond models, Hugging Face represents a collaborative spirit. The Model center is a busy center where users can trade and discover hundreds of models and datasets, creating a culture of collaborative innovation in Natural Language Processing (NLP).

Key Features:

Model Hub: It discovers and shares thousands of models including BERT, T5, GPT and Whisper.
Easy API Integration: It implements AI capabilities with user-friendly APIs for fine-tuning and inference.
AutoTrain: It simplifies training and fine-tuning models without deep machine learning expertise.
Inference Endpoints: Seamless model deployment with scalable cloud-based infrastructure.
Collaborative Community: It has open-source contributions for continuous improvement and innovation.
Transformers Library: It has a vast collection of pre-trained models for NLP, computer vision, and speech processing.

Pros	Cons
It provides access to state-of-the-art models and AI research.	Running large models requires significant hardware resources.
Simple AI integration for developers at all levels.	Some applications require careful handling of sensitive data.
It easily deploys models with Hugging Face’s managed services.	While user-friendly, mastering advanced customization and fine-tuning can take time.

10. Synthesia

Synesthesia occurs when the brain channels sensory information through numerous unconnected senses, causing you to feel more than one. Some examples include tasting words or associating colors with numbers and letters. It is not a medical condition, yet many individuals find it useful for learning and remembering information. Synthesia is a powerful Artificial Intelligence platform that turns text into a realistic film with virtual characters. This technology employs better deep learning networks to create natural-sounding avatars by reading specific text types. This introduces a new manner of creating content. Synthesia is simple to use to make films, whether you’re a marketer, a teacher, or someone in between.

Key Features:

AI-Generated Avatars: Realistic digital characters that bring scripts to life.
Multi-Language Support: Over 120 languages and accents for global content creation.
Text-to-Video Technology: Convert written text into high-quality video presentations.
Custom Avatars: Businesses can create branded avatars for consistency.
No Technical Skills Required: User-friendly interface for fast and easy video production.
Template Library: Pre-designed templates to speed up content creation.

Pros	Cons
Less need for expensive video production equipment.	AI-powered avatars lack the full range of human expression.
Speeds up content creation with AI-powered automation.	Even after being advanced, avatar movements and tones have limitations.
Provides multilingual support for global audiences.	It might be costly for individual users or small businesses.

Conclusion

The rapid adaptation of generative AI has increased the demand for generative AI tools and apps in the business world. From enabling automation in content creation with ChatGPT and Notion AI to transforming design with Framer and Midjourney – generative AI solutions are redefining productivity, creativity, and efficiency. You can be a developer using Github Copilot, a digital marketer optimizing outreach with AI-generated content, or creating visually appealing creatives with Runway- the right gen AI-powered tools can change your work process and create new possibilities. Adopting a generative AI tools that aligns with your business goals is necessary. With great power comes a lot of responsibility- balancing automation with human oversight to maintain originality, accuracy, and ethical responsibility.