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ml 15

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.

HARPA AI Browser Agent

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Chrome extension combining multiple AI models

Free From $12 45 · 56,158 votes

Notta Showcase

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Transcribe and summarize meetings

Free From $8.17 44 · 8,637 votes

Reworkd

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Web scraping and data extraction

Free 42 · 43,435 votes

Paraphrasing Tool

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Rewrite text in your own words instantly

Free 41 · 63,591 votes

voicemy.ai

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Clone voices, train AI models, and compose melodies

Free 38 · 62,050 votes

Revisor

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Monitor electoral procedures and count voters

Free 38 · 60,806 votes

ReceiptUp

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Extract vendor, date, and amounts from receipts

Free 37 · 41,629 votes

An online Photobooth AI for fun or animate your events

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Online photobooth with AI styling options

Free 37 · 38,922 votes

Cmd J

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Browser shortcut for quick writing, coding, and search

Free 36 · 31,131 votes

Altern

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Directory of 103+ AI tools

Free 36 · 29,428 votes

PatternedAI

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Print-ready patterns in seconds

Free 36 · 27,351 votes

Capture.dev

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Generate detailed bug reports with screenshots and logs

Free 36 · 21,577 votes

Legal Intern AI

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Legal research assistant

Free 35 · 12,622 votes

iTextMaster

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Merge, split, compress, and convert PDFs in your browser

Free 34 · 8,373 votes

Start for Free

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Translate videos across languages

Free 32 · 3,116 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.