✦ Artbynlaw Presents · 2026 Reference ✦
Every major AI tool for Mac — features, pricing, integrations, and Adobe compatibility. Sorted from lowest to highest cost.
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Sorted by minimum paid plan cost, lowest to highest
Showing 40 of 40 products
Simple, elegant Mac app for generating images using Stable Diffusion directly on your device. Made by Sindre Sorhus, it provides a clean native macOS interface for AI image creation with zero cloud dependency.
Visual breakdowns of pricing, categories, and Adobe compatibility across all 40 AI products.
Minimum paid plan cost per product ($/month)
Distribution across AI product categories
How many products integrate with Adobe Creative Cloud
24
Compatible
16
Not Compatible
60%
Rate
Definitions for all AI, technical, software, and Mac-specific terms used throughout this guide.
46 terms
The simulation of human intelligence by computer systems, including learning, reasoning, and self-correction.
An autonomous AI system that can perceive its environment, make decisions, and take actions to achieve specific goals without continuous human intervention. AI agents can use tools, browse the web, write code, and chain multiple steps together to complete complex tasks.
A set of protocols and tools that allows different software applications to communicate with each other.
Apple's custom ARM-based processors (M1, M2, M3, M4, M5 series) designed for Mac computers, offering high performance and energy efficiency.
Adobe's framework for building extensions and panels that work across multiple Adobe Creative Cloud applications.
A text-based interface for interacting with software by typing commands, as opposed to using a graphical user interface.
A neural network architecture that adds conditional control to diffusion models, enabling precise control over AI image generation.
A unit of measurement used by AI platforms to track and limit usage of their services, often tied to specific actions like generating images or text.
OpenAI's AI image generation model that creates images from text descriptions.
A subset of machine learning using neural networks with multiple layers to learn complex patterns from large amounts of data.
A type of generative AI model that creates data by gradually removing noise from a random signal, commonly used for image generation.
Adobe's JavaScript-based scripting language used to automate tasks and create extensions for Adobe Creative Cloud applications.
An open-source AI image generation model known for high-quality outputs and flexibility.
AI systems capable of creating new content such as text, images, music, or video based on patterns learned from training data.
An Adobe Photoshop feature powered by Adobe Firefly that uses AI to add, extend, or remove content from images using text prompts.
A family of large language models developed by OpenAI that can understand and generate human-like text.
A specialized processor originally designed for rendering graphics, now widely used for AI computations due to its parallel processing capabilities.
A platform and community for sharing and discovering machine learning models, datasets, and applications.
A software application that provides comprehensive tools for software development, including a code editor, debugger, and build tools.
Google's AI image generation model used in Gemini and other Google products.
An AI technique that fills in missing or selected areas of an image with contextually appropriate content.
An AI model trained on vast amounts of text data that can understand and generate human language, such as GPT-4, Claude, or Llama.
AI processing that runs entirely on your computer without sending data to cloud servers, ensuring privacy and offline functionality.
A technique for efficiently fine-tuning large AI models by training only a small number of additional parameters.
Apple's operating system for Mac computers, providing the foundation for all Mac applications and features.
Apple's machine learning framework optimized for Apple Silicon, enabling efficient local AI model execution on Mac.
An AI technique that creates 3D representations of scenes from 2D images, used for 3D reconstruction and novel view synthesis.
A branch of AI focused on enabling computers to understand, interpret, and generate human language.
Technology that converts images of text into machine-readable text, often enhanced by AI for improved accuracy.
Software whose source code is freely available for anyone to view, modify, and distribute.
An AI technique that extends an image beyond its original borders by generating new content that seamlessly continues the existing scene.
Adobe Photoshop's native file format that preserves layers, masks, and other editing features.
An unprocessed image file that contains all data captured by a camera's sensor, providing maximum flexibility for editing.
A web service architecture that uses HTTP requests to access and manipulate data, commonly used for integrating AI services.
A common subtitle file format used for adding captions to videos.
An open-source AI image generation model that creates images from text prompts, capable of running locally on consumer hardware.
An enhanced version of Stable Diffusion offering higher resolution and improved image quality.
A pricing structure where users pay a recurring fee (monthly or annually) to access a service, as opposed to a one-time purchase.
An XML-based vector image format that can be scaled without losing quality, commonly used in web design and Adobe Illustrator.
AI technology that generates images from written text descriptions or prompts.
AI technology that converts written text into natural-sounding spoken audio.
A unit of text processing in AI models, roughly equivalent to a word or word fragment. Used to measure input/output and pricing.
A neural network architecture that uses attention mechanisms to process sequential data, forming the basis of modern LLMs like GPT and Claude.
Adobe's modern plugin framework replacing CEP, used for building extensions in Photoshop, InDesign, and other Adobe apps.
AI technology that creates a synthetic replica of a person's voice from audio samples, enabling text-to-speech in that voice.
OpenAI's open-source speech recognition model that provides accurate transcription across multiple languages.