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general 15

General AI and machine learning tools include platforms for building, deploying, and managing ML models, along with infrastructure, evaluation, and workflow tools that support AI development broadly. With 674 tools, this category covers a wide spectrum from no-code ML builders to developer-facing MLOps infrastructure.

HARPA AI Browser Agent

general

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

general

Translate videos across languages

Free 32 · 3,116 votes

This category includes tools aimed at very different audiences. Platforms like Ultracode and Workverse lean toward automation and productivity applications built on AI, while infrastructure tools like EdgeTrace serve engineers managing model pipelines and monitoring production systems. Tools like Userpersona and Hippo Scribe apply ML techniques to specific tasks like persona generation or medical transcription. The unifying thread is that they are powered by machine learning but do not fit neatly into a narrow vertical like image generation or speech-to-text. When navigating this category, the most useful filters are technical depth (no-code vs. API-first), deployment environment (cloud vs. self-hosted), and target use case. Many enterprise-grade tools here require custom pricing quotes, while developer tools often offer usage-based billing. Evaluating model accuracy and latency on your specific data is almost always necessary before committing to production use.