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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.

Coda

general

Docs, spreadsheets, and apps in one platform

Free From $10 52 · 25,847 votes

Fineshare

general

Create AI voice clones from audio samples

Free 42 · 35,628 votes

Prem AI

general

Applied AI research lab building sovereign and private AI

Free 38 · 60,668 votes

Docsie

general

Convert videos and files into structured documentation

Free 38 · 51,010 votes

Spellmint

general

Structured planning tools for team brainstorming

Free 37 · 49,684 votes

Pressmaster AI

general

AI content creation that preserves your voice

Free 37 · 17,944 votes

Kerplunk

general

Generate images, text, and audio with an easy interface

Free 36 · 24,456 votes

Hello8

general

Translate video to 90+ languages

Free 36 · 20,468 votes

TimelyGrader

general

AI grading for essays and assignments

Free 35 · 17,556 votes

Glitter AI

general

Auto-generate step-by-step guides

Free 32 · 2,440 votes

Elevate Your Photography Instantly

general

Knowledge bases

Free 31 · 1,326 votes

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.