Microsoft Azure Cognitive Services
generalPre-built AI APIs from Microsoft for vision, speech, language, and decision tasks
ml 58
The ML category is a broad collection of 674 tools that apply machine learning across industries and functions, from healthcare documentation and legal research to user research, code generation, and content creation. It captures AI applications that do not fit cleanly into a single vertical.
Voicemod
generalReal-time voice changer for gaming and streaming
Dialpad
generalAI contact center for omnichannel communication
GitHub Copilot
generalAI code assistant for faster development
Hemingway Editor Plus
generalWriting clarity tool that flags clunky sentences
Slite
generalAI-powered knowledge base for company information
Lightning AI
generalAll-in-one AI development platform from browser with zero setup
Python Data Science Handbook by Jake VanderPlas
generalGet summaries and answers while watching YouTube
Respeecher
generalProfessional AI voice generation for production
Image to Prompt Generator
generalConvert images to AI art prompts
UXsniff
generalDetect UX changes and understand their impact
OctiAI
generalCreate effective AI prompts from short ideas in seconds
Tootler AI
generalWrite statements of purpose for visa applications
TurboLens
generalAI image analysis for object detection and classification
Scrabblecam
generalFind best moves from Scrabble board photos
Research Studio
generalAI-enhanced analysis for user research data
Little Bro
generalAI sidekick for social media content
Đăng Ký + 288k
generalOnline gaming and sports betting platform
Dubble
generalAuto-generate documentation from your workflow
LunarLink
generalCompare AI models by performance and cost
Metaforms
generalProcess survey data and generate insights with AI
Maibrain
generalBusiness intelligence from multiple data sources
Emly Labs
generalPlatform for building and deploying AI apps
Legal Data Tech
generalLegal research and analysis
Because this category covers so many domains, browsing by sub-use case is more efficient than scrolling the full list. Tools like Hippo Scribe and SopCreator serve very specific professional workflows, while others like User Evaluation or Userpersona target product and UX teams. The quality bar across the category is uneven: some tools are mature products with enterprise customers, while others are early-stage experiments. When evaluating any tool in this space, look for evidence of actual accuracy and reliability in your specific domain, since ML performance varies dramatically across tasks. Integration depth and data handling are often the deciding factors for business use. Pricing models are diverse, from usage-based API billing to flat-rate SaaS subscriptions. Open-source alternatives exist for many of the underlying tasks, so for teams with technical resources, comparing commercial tools against self-hosted options is worth the effort.