Microsoft Azure Cognitive Services
generalPre-built AI APIs from Microsoft for vision, speech, language, and decision tasks
Browse the best freemium general tools on Listof.Best — 132 options, ranked by popularity. Compare features, pricing and alternatives at a glance.
Pre-built AI APIs from Microsoft for vision, speech, language, and decision tasks
AI assistant supporting multiple major models
Docs, spreadsheets, and apps in one platform
Payment and tax handling for digital products
AI voice changer for gaming, streaming, and chat
Writing clarity tool that flags clunky sentences
AI chatbot for customer support
Text-to-video with custom avatars and AI dubbing
Build and deploy custom apps with no code
AI-powered knowledge base for company information
Real-time voice changer for Discord, Zoom, and OBS
Humanize AI-generated text
Online course for AI prompt engineering
No-code platform for building AI apps
Create AI voice clones from audio samples
Summarize and translate documents in 150+ languages
Captions and subtitles for video and audio in 120+ languages
Single API for 500+ AI models
Convert images to AI art prompts
AI shopping comparison app for finding products
Detect UX changes and understand their impact
AI automation for sales and revenue operations
AI assistant for financial advisors and planning tasks
ChatGPT on Mac with a global hotkey
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.