Experai
generalAsk questions to subject matter experts
ml 673
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.
Magic Mate
generalWhatsApp conversation assistant
AI Puffer
generalChatGPT chatbot for WordPress sites
JADWAL188
generalDiscover ingredients in your favorite snacks
Moon Trip
generalGenerate artistic images from text prompts
Little Bro
generalAI sidekick for social media content
Spellmint
generalStructured planning tools for team brainstorming
Writer Assistant
generalContent creation tool for multiple formats
Đăng Ký + 288k
generalOnline gaming and sports betting platform
Dubble
generalAuto-generate documentation from your workflow
Frank AI
generalAI essay, email, and script writing
LunarLink
generalCompare AI models by performance and cost
Miraa
generalLearn languages through media with AI translation
Wizzygen
generalGenerate content directly inside Notion
Metaforms
generalProcess survey data and generate insights with AI
AI Word Changer
generalImprove writing with synonyms and paraphrasing
Listen Monster
generalConvert audio and video to text with fast transcription
Echo Voice AI
generalClone voices from short audio samples
AI Ghostwriter
generalChatGPT-powered content generation for WordPress
Free AI Voice Changer Online
generalChange your voice with AI effects and filters
Gluecharm
generalAI impact analysis for faster feature development
GradeLab
generalAutomate exam grading across multiple question types
DeckFlow
generalTranslate and redesign presentations across 30 languages
Maibrain
generalBusiness intelligence from multiple data sources
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.