| Language Model / Platform | Description |
|---|---|
| ChatGPT (OpenAI) | ChatGPT is a conversational AI based on OpenAI's GPT-4 architecture. It can generate, summarize, translate, and analyze text, and is widely used in business and education. The Pro version includes tools for image interpretation, code execution, and file analysis. |
| Claude (Anthropic) | Claude is a large language model developed by Anthropic with a strong focus on safety and alignment. It handles long documents very effectively and is praised for its structured reasoning. Claude 3 models support text and image input and are known for their user-friendly tone. |
| Gemini (Google) | Gemini, formerly known as Bard, is Google’s multimodal AI assistant. It integrates tightly with Google services like Search, Docs, and Gmail. Gemini excels at web-based research and data extraction across formats. |
| Microsoft Copilot | Copilot is embedded into Microsoft 365 apps like Word, Excel, and Outlook. It helps users draft content, analyze data, and automate tasks. Built on OpenAI’s models, it enhances productivity with a familiar UI. |
| Neuroflash | Neuroflash is a European AI writing tool tailored for marketers and content creators. It offers high-quality text generation in German and English with GDPR-compliant data handling. The platform also includes SEO tools and tone-of-voice customization. |
| Jasper AI | Jasper AI is a marketing-focused language model platform for creating blogs, ads, and social media content. It supports team workflows and brand voice consistency. Jasper also offers templates and AI image generation features. |
| Aleph Alpha / Luminous | Luminous is a German-developed language model series by Aleph Alpha. It emphasizes explainability, privacy, and compliance with European standards. Its models are used in government, research, and regulated industries. |
| DeepL Write | DeepL Write is a writing assistant focused on grammar, clarity, and tone. It builds on DeepL’s translation expertise to refine English and German texts. It's ideal for professionals seeking stylistic improvements without losing meaning. |
| AI Image Generator | Description |
|---|---|
| DALL·E (OpenAI) | DALL·E generates high-quality images from natural language prompts. Integrated into ChatGPT, it also supports inpainting and image editing features. It is ideal for both artistic creation and illustrative tasks. |
| Midjourney | Midjourney is a text-to-image generator known for its artistic and stylized results. It operates through Discord and is popular among designers, illustrators, and concept artists. The tool offers rich aesthetic control over output. |
| Stable Diffusion | Stable Diffusion is an open-source image generation model that runs locally or via cloud interfaces. It offers high customizability and supports community-developed models and extensions. It’s widely used for creative freedom and private workflows. |
| Adobe Firefly | Adobe Firefly is Adobe’s generative AI engine for creative professionals. It allows text-based image generation and generative fill in Photoshop and Illustrator. Firefly outputs are designed to be safe for commercial use. |
| Bing Image Creator | Bing Image Creator uses DALL·E technology and is available for free within Microsoft Edge and Bing. It allows users to generate images from prompts without any setup. It is accessible and user-friendly for casual creators. |
| Leonardo AI | Leonardo AI is a powerful tool for generating game assets, illustrations, and concept art. It supports fine-tuning and custom model training for specific styles. The platform caters to professionals in design and digital art. |
| Dream by Wombo | Dream is a mobile-friendly AI art app that generates creative images from text. It features a variety of preset styles and is designed for fast, casual art creation. Users can share and download artworks directly from the app. |
| NightCafe | NightCafe offers multiple generation models including Stable Diffusion and CLIP-guided diffusion. It features an active user community and gamified experience. It's popular among hobbyists and digital art enthusiasts. |
| AI Music Generator | Description |
|---|---|
| Suno.ai | Suno generates full songs, including vocals, from short text prompts. Users can create music in various genres with surprisingly high production quality. It is popular among creators for prototyping song ideas and social content. |
| Udio | Udio creates radio-style songs with AI-generated vocals and instrumentation. It allows users to specify lyrics and genre for custom compositions. The platform is known for its polished, ready-to-share audio output. |
| Aiva | Aiva is an AI composer focused on classical, cinematic, and orchestral music. Users can adjust mood, instrumentation, and structure to shape the final piece. It is widely used for game soundtracks, films, and ad music. |
| Amper Music | Amper allows users to generate royalty-free music tracks based on mood, genre, and tempo. It is designed for video creators and marketers looking for background music. The interface is simple and requires no music knowledge. |
| Soundraw | Soundraw offers customizable music generation for commercial use. Users select a style and length, then edit structure and arrangement in real time. It’s tailored for YouTubers, advertisers, and digital creatives. |
| Ecrett Music | Ecrett lets users generate music by choosing scene, mood, and genre combinations. It’s aimed at content creators who need easy-to-license background tracks. The service includes monthly downloads and commercial rights. |
| Boomy | Boomy enables users to make and publish original songs with minimal input. Songs can be released on streaming platforms like Spotify and Apple Music. It’s geared toward hobbyists and aspiring artists experimenting with music. |
| Magenta Studio | Magenta Studio is an open-source suite of music tools built by Google. It offers MIDI-based generation, continuation, and interpolation features. It’s ideal for musicians and developers exploring AI-assisted composition. |
| AI Video Generator | Description |
|---|---|
| Runway ML | Runway ML is a leading platform for generative video powered by AI. Its Gen-2 model creates short video clips from text prompts or image inputs. It's widely used for prototyping, concept visuals, and creative storytelling. |
| Pika Labs | Pika Labs generates animated videos directly from natural language prompts. It focuses on artistic and stylized animations suitable for social media and short-form content. The platform is easy to use and rapidly evolving. |
| Synthesia | Synthesia allows users to create professional videos using AI avatars that speak typed text. It's commonly used for training, internal communication, and marketing videos. The tool supports multiple languages and voice styles. |
| HeyGen | HeyGen creates AI videos featuring digital avatars with realistic speech. It offers features like lip-syncing, voice cloning, and multilingual support. It’s ideal for personalized video messaging and explainer content. |
| DeepBrain | DeepBrain provides AI-generated presenters for corporate and educational videos. Users upload a script, choose an avatar, and generate videos within minutes. The output looks professional and is suited for formal use cases. |
| Colossyan | Colossyan is a video creation platform using AI actors for business communication. It enables fast production of explainers, training modules, and localized content. The UI is intuitive and offers team collaboration tools. |
| Lumen5 | Lumen5 transforms blog posts or text into engaging video content automatically. It uses AI to select visuals, transitions, and animations. It's particularly popular in content marketing and social media management. |
| Veed.io | Veed.io is a video editing platform with AI-powered tools like subtitles, voiceovers, and cleanup features. It supports text-to-speech and script-based video automation. The tool is accessible to non-editors and teams alike. |
By 2025, there are already several hundred AI tools available, especially in the field of generative AI. ChatGPT reached over 100 million users in less than two months after its launch in 2022 and now has around 600 million monthly users. In total, more than 250 million people worldwide used AI tools in 2023. By 2030, that number is expected to exceed 1 billion.
In 2024, over 70% of businesses were already using AI in some form, indicating widespread adoption across various industries. The global AI software market has grown from around $10 billion in 2018 to an estimated $126 billion by 2025, with an average annual growth rate of 35%.
The technological breakthrough that has driven the rapid development of generative AI since around 2020 is based on several interrelated advancements. At the core is the Transformer model, introduced in 2017, which began to show its full potential in the following years. Unlike earlier neural networks that could only process data sequentially, the Transformer can analyze relationships between words in parallel, making models significantly more powerful.
Between 2018 and 2020, projects like GPT-2 and GPT-3 demonstrated that, given sufficient size and data, Transformers are capable of producing remarkably coherent and creative text. OpenAI, Google, and others discovered that simply scaling up model parameters and training data led to disproportionately better results, a concept known as Scaling Laws. As a result, GPT grew from a few million to hundreds of billions of parameters. At the same time, the computing power required for training became widely accessible thanks to specialized hardware like NVIDIA GPUs and cloud infrastructure.
But it wasn’t just the architecture or size of the models that mattered. Another key was the introduction of Reinforcement Learning from Human Feedback (RLHF), implemented around 2022. This approach allows AI models to learn not only from data, but also from human input about which responses are helpful, accurate, or polite. This made the models more suitable for everyday use, safer, and easier to guide.
Image generation also underwent a major transformation. While earlier image AIs like GANs were unstable and difficult to control, starting in 2021, diffusion models such as those used in DALL·E 2 or Stable Diffusion brought a significant leap in quality. They generate images by gradually transforming noise into realistic scenes, offering creative control over style, composition, and content.
Advances in both text and image generation soon converged into multimodal models. GPT-4, Gemini, and Claude 3 can understand and combine various input types such as text, images, and even audio. This enabled new use cases ranging from diagram analysis to video description and the integration of language with code and visuals. This versatility greatly contributed to the broad acceptance of generative AI. At the same time, the availability of web interfaces like ChatGPT, Midjourney, or Synthesia dramatically lowered the barrier to entry. Millions of people can now interact with powerful AI tools without prior technical knowledge, driving explosive adoption worldwide.