Payments, Tax & Subscriptions for SaaS
generalPayment and tax handling for digital products
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.
Payment and tax handling for digital products
AI voice changer for gaming, streaming, and chat
Text-to-video with custom avatars and AI dubbing
Humanize AI-generated text
Summarize and translate documents in 150+ languages
Discord FAQ bot that answers support questions 24/7
Research paper assistant for academics
Create and maintain SOPs with AI
WhatsApp conversation assistant
Generate artistic images from text prompts
Run AI workflows with slash commands
Condense long videos into summaries, transcripts, and chapters
Predictive analytics and scenario planning for strategy decisions
Builds searchable knowledge bases from videos, podcasts, and documents
Summarizes and curates information from your feeds
Free AI chatbot and image generator, no signup required
Manage the full machine learning lifecycle
Send pre-recorded interview questions and collect video responses
Fast content summarization
Summarize and manage scientific papers with AI
Enterprise Japanese subtitle translation for long technical videos
AI inbox assistant for professionals
Google Meet assistant that generates notes and action items
Run AI models locally without setup
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.