Coda
generalDocs, spreadsheets, and apps in one platform
ml 63
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
AI STUDIO
generalText-to-video with custom avatars and AI dubbing
Slite
generalAI-powered knowledge base for company information
Learn Prompting
generalOnline course for AI prompt engineering
Fineshare
generalCreate AI voice clones from audio samples
Kaption AI
generalCaptions and subtitles for video and audio in 120+ languages
Zyft
generalAI shopping comparison app for finding products
UXsniff
generalDetect UX changes and understand their impact
Zams
generalAI automation for sales and revenue operations
Squire AI
generalAI assistant for financial advisors and planning tasks
Wallu
generalDiscord FAQ bot that answers support questions 24/7
Based Tools
generalDirectory of over 12,000 AI tools and websites
Prem AI
generalApplied AI research lab building sovereign and private AI
Paperguide
generalResearch paper assistant for academics
Docsie
generalConvert videos and files into structured documentation
Gen Expert
generalAccess advanced ChatGPT interface and prompts
Standard Wizard
generalCreate and maintain SOPs with AI
Magic Mate
generalWhatsApp conversation assistant
JADWAL188
generalDiscover ingredients in your favorite snacks
Moon Trip
generalGenerate artistic images from text prompts
Spellmint
generalStructured planning tools for team brainstorming
Dubble
generalAuto-generate documentation from your workflow
Listen Monster
generalConvert audio and video to text with fast transcription
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.