Elai.io
generalAI video generator for training and tutorials
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.
AI video generator for training and tutorials
Generative AI for creating and remixing music
Generate custom T-shirt designs from text or images
Spreadsheet to published SEO articles
Convert text and images to SVG
Create videos from text prompts
Writing assistant for authors and novelists
Upscale photos and create images from descriptions
Rewrite AI content to read like human writing
Converts AI text to match human writing style
Text-to-speech with natural-sounding voices
Open-source framework for building AI applications
Convert articles and text to video
Extract text from images and scanned docs
Translate images to 130+ languages while preserving formatting
Write high-quality blog posts and content fast
Online gaming platform
Music, sound effects, and speech generation on edge hardware
Rewrite AI text to pass human detection
AI text generation in Spanish
Rewrite text for grammar and clarity
Image generation with Flux.1 models and LoRA support
Read Google Docs, PDFs, and webpages aloud
Chat with custom AI characters and roleplay scenarios
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.