Wikiwand
generalCleaner, more visual Wikipedia reader
general 673
General AI and machine learning tools include platforms for building, deploying, and managing ML models, along with infrastructure, evaluation, and workflow tools that support AI development broadly. With 674 tools, this category covers a wide spectrum from no-code ML builders to developer-facing MLOps infrastructure.
Pluralsight
generalEnterprise platform for building tech skills
UserTesting
generalAnalyze video, audio, text, and behavioral data from user tests
Transistor
generalConvert podcast audio to text transcripts in minutes
vLex
generalAI legal research, drafting, and litigation tools for lawyers
Ludwig
generalCheck English sentences and get writing suggestions from examples
AI4Bharat
generalOpen-source AI datasets and tools for Indian languages
Arc Max
generalChatGPT integration and browser utilities
Toolify
generalComprehensive AI tools directory
PLAUD NOTE
generalAI note-taking for meetings and calls
PimEyes
generalReverse image search with facial recognition
LLaMA
generalOpen language models by Meta
H2O.ai
generalGenAI platform for on-premises deployment
GPT for work
generalChatGPT for spreadsheet automation
ChatGPT for Google
generalBrowser extension showing AI responses in search results
Crafted Framer
generalConversational AI for outbound sales prospecting
Emergent Mind
generalAI research assistant for literature reviews
Wayin AI
generalVideo analysis for audience insights and content strategy
EternalAI
generalDecentralized autonomous agents with smart contract coordination
Aixploria
generalDirectory of AI tools with rankings and search
Raz
generalRich messaging via iMessage, SMS, and RCS
Rad AI
generalAutomate radiology image analysis and reporting
AiMatch
generalCompare AI tools by price, API access, and use case
Mason.io
generalInteractive shopping features like quizzes and personalized upsells
This category includes tools aimed at very different audiences. Platforms like Ultracode and Workverse lean toward automation and productivity applications built on AI, while infrastructure tools like EdgeTrace serve engineers managing model pipelines and monitoring production systems. Tools like Userpersona and Hippo Scribe apply ML techniques to specific tasks like persona generation or medical transcription. The unifying thread is that they are powered by machine learning but do not fit neatly into a narrow vertical like image generation or speech-to-text. When navigating this category, the most useful filters are technical depth (no-code vs. API-first), deployment environment (cloud vs. self-hosted), and target use case. Many enterprise-grade tools here require custom pricing quotes, while developer tools often offer usage-based billing. Evaluating model accuracy and latency on your specific data is almost always necessary before committing to production use.