Poper
generalNo-code forms, quizzes, popups, surveys, and 200+ widgets with A/B testing
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.
Creative APIs by Picsart
generalSDKs and APIs for integrating photo and video editing into apps
Immersity AI
generalCreates 3D environments and immersive experiences from text or images
TTS Monster
generalText-to-speech tool for Twitch and YouTube streamers
X-Ray Contact
generalPeople search engine for professional contact info
Trainn
generalCustomer education platform built for SaaS onboarding
Ocrolus
generalAutomate financial document analysis for lending
Camb
generalAI video localization and dubbing in 150+ languages
Wordsmith AI
generalAI platform for legal contract work
Eficode
generalAnswer Jira questions and automate issue management
Contify
generalStructured, real-time news feed API for apps
NeuralWriter
generalParaphrase text, articles, and essays online
AI Top Tools
generalBrowse 10,000+ AI tools with user reviews
Hippocraticai
generalSafe AI agents for healthcare organizations
God In A Box
generalChatGPT wrapper
Fusion Chat
generalAI web search assistant that summarizes results
Git2Log
generalAI changelog generator from git commits
Helpcenter
generalCustomer support chatbot powered by ChatGPT
Chipp
generalNo-code AI agent platform for business automation
Vocloner
generalClone your voice from a short audio sample
CleverType
generalAI keyboard with grammar and tone tools
Hopsworks
generalOpen-source feature store for machine learning
Refont
generalAI brand kit generator from text prompts
Sciencecast
generalVideo presentations for research papers
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.