Riffusion
generalGenerative AI for creating and remixing music
General LLM tools include frameworks, APIs, evaluation utilities, and infrastructure specifically built around large language models. This category covers 369 tools that help developers build, test, fine-tune, and run applications on top of LLMs, from embedding calculators to full model-serving platforms.
Generative AI for creating and remixing music
Convert AI text to natural, human-like writing
Generate Excel formulas and analyze spreadsheets without coding
Long-form writing editor for storytellers
Convert video to 3D animation instantly
Free AI sound effect generator from text
Generate unique text for blogs, marketing, and writing projects
Generate short videos from text prompts
Create videos from text prompts
Writing assistant for authors and novelists
Upscale photos and create images from descriptions
AI voice covers for songs with 10,000+ voices
Chat interface to automate tasks in apps
Generate story branches and plot ideas
SMS automation for local businesses
Transform images into videos with AI
Handwriting and math OCR
Automatically write and publish SEO blog posts
Generate story outlines and full narratives from prompts
Rewrite AI text to read human-written
Convert articles and text to video
Extract text from images and scanned docs
AI-powered writing and productivity tools
Online gaming platform
This is a technically focused category aimed primarily at developers and ML engineers. Tools like Cognee and UpTrain address retrieval-augmented generation (RAG) pipelines and model evaluation, while platforms like Dstack and PeriFlow handle compute infrastructure for training and inference. Embedding Similarity Calculator and similar utilities fill narrow but useful gaps in LLM development workflows. OpenAssistant and Cerebras-GPT represent open-source or open-weight models that developers can run or fine-tune directly. When comparing options, consider whether a tool is model-agnostic or tied to a specific provider, and whether it supports the models you are already using. Latency, throughput, and cost-per-token are the metrics that matter most for production workloads. Evaluation tools are often underinvested in early projects but become critical once you are shipping to users. Many tools here are open source with paid managed versions, while others are closed SaaS products with usage-based pricing.