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ml 673

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.

Capture.dev

general

Generate detailed bug reports with screenshots and logs

Free 36 · 21,577 votes

Translate.video

general

Video translation, dubbing, and voiceovers in 75+ languages

Paid 36 · 21,354 votes

Tỷ Lệ Kèo Nhà Cái Hôm Nay

general

Condense long documents into concise summaries

Free 36 · 21,053 votes

JimakuAI

general

Enterprise Japanese subtitle translation for long technical videos

Free 36 · 20,875 votes

Simpliterms

general

Read plain-English policy summaries

Free 36 · 20,561 votes

Hello8

general

Translate video to 90+ languages

Free 36 · 20,468 votes

Podnotes

general

Repurpose podcasts into multiple formats

Paid 36 · 20,119 votes

GistReader

general

Summarize articles fast without the clutter

Free 36 · 19,541 votes

Entry Point AI

general

Fine-tune custom language models without code

Free 36 · 19,431 votes

MakeTheDocs

general

Auto-generate docs from video walkthroughs

Free 35 · 18,960 votes

ChatPlayground

general

Compare 40+ AI models side by side

Paid 35 · 14,458 votes

All Voice Lab

general

Text-to-speech with custom voices

Free 35 · 17,776 votes

TimelyGrader

general

AI grading for essays and assignments

Free 35 · 17,556 votes

Protime

general

AI inbox assistant for professionals

Free 35 · 17,217 votes

AI Journey

general

Directory of AI tools with daily updates

Free 35 · 16,970 votes

TravelFeed

general

Travel blogging platform where you can earn crypto

Paid 35 · 16,091 votes

Visionati

general

Compare image analysis from multiple AI models in one API

Free 35 · 15,819 votes

Talking Tree

general

Draft contracts, demand letters, and legal documents in minutes

Paid 35 · 14,371 votes

Concise

general

Tech news reader with clean summaries and source citations

Free 35 · 14,312 votes

JotMe Live AI Translation for Meetings and Events

general

Google Meet assistant that generates notes and action items

Free 35 · 14,202 votes

Vagent

general

Build custom voice assistants with NLU and speech recognition

Free 35 · 14,031 votes

StockGPT

general

Ask questions about Tesla stock and company information

Paid 35 · 14,020 votes

Pixno

general

Convert photos, PDFs, and audio into text notes

Free 35 · 13,345 votes

Unitlab Annotate

general

Label images, text, and audio for machine learning

Free 35 · 13,090 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.