Notta Showcase
generalTranscribe and summarize meetings
ml 32
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.
Kaption AI
generalCaptions and subtitles for video and audio in 120+ languages
Zyft
generalAI shopping comparison app for finding products
Zams
generalAI automation for sales and revenue operations
Squire AI
generalAI assistant for financial advisors and planning tasks
Revisor
generalMonitor electoral procedures and count voters
Based Tools
generalDirectory of over 12,000 AI tools and websites
OverallGPT
generalCompare AI models based on criteria that matter to you
JADWAL188
generalDiscover ingredients in your favorite snacks
Listen Monster
generalConvert audio and video to text with fast transcription
Mailyr
generalWrite emails in seconds with free AI Chrome extension
RightResponse AI
generalAI-powered review management that stays on-brand
Luw.ai
generalDesign interior and exterior spaces with AI
Alt Text Generator AI
generalAutomatically generate accessible image descriptions
ReceiptUp
generalExtract vendor, date, and amounts from receipts
Targum Video
generalTranslate and understand videos in any language
AI Reelity Trip Planner
generalAI trip planning and travel itinerary assistance
Sensay
generalPreserve employee knowledge as an AI chat assistant
Try AiryChat AI Assistants for Free
generalFree AI assistants for learning and business
Altern
generalDirectory of 103+ AI tools
PatternedAI
generalPrint-ready patterns in seconds
WisdomAI
generalDaily insights from top creators
Podnotes
generalRepurpose podcasts into multiple formats
Entry Point AI
generalFine-tune custom language models without code
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.