Microsoft Azure Cognitive Services
generalPre-built AI APIs from Microsoft for vision, speech, language, and decision tasks
ml 28
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.
Hemingway Editor Plus
generalWriting clarity tool that flags clunky sentences
Slite
generalAI-powered knowledge base for company information
Image to Prompt Generator
generalConvert images to AI art prompts
UXsniff
generalDetect UX changes and understand their impact
Tootler AI
generalWrite statements of purpose for visa applications
TurboLens
generalAI image analysis for object detection and classification
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
LangWatch
generalMonitor and evaluate LLM performance and bias
Hellohola
generalSubtitles and video translation in 90+ languages
Presscloud.ai
generalWrite and distribute press releases quickly
Mool
generalResearch assistant for documents and reports
Apply now
generalPost-school planning sessions
Trustguide
generalDisplay Google reviews on your website
Revrite
generalParaphrase text in 100+ languages
Review Wizard
generalAI responses to customer reviews
MyVocal AI
generalClone voices and generate text-to-speech audio
GistReader
generalSummarize articles fast without the clutter
Visionati
generalCompare image analysis from multiple AI models in one API
Vagent
generalBuild custom voice assistants with NLU and speech recognition
Unitlab Annotate
generalLabel images, text, and audio for machine learning
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.