Elai.io
generalAI video generator for training and tutorials
llms 64
This category covers tools built around large language models: infrastructure for deploying, fine-tuning, evaluating, and monitoring LLMs in production. With 369 tools listed, it is one of the more technical categories on the site, aimed primarily at developers and ML engineers rather than end users.
Riffusion
generalGenerative AI for creating and remixing music
Napkin
generalTurn text into visual charts and infographics
Artificial Intelligence
generalScalable cloud compute
Meilisearch
generalFast, open-source search and AI retrieval engine
Twelve Labs
generalSearch and analyze video with AI
Audioread.com
generalListen to articles and PDFs
Postwise
generalWrite and schedule posts for Twitter, LinkedIn, and Threads
TeeAI
generalGenerate custom T-shirt designs from text or images
ReadPartner
generalNews monitoring and trend analytics for business teams
Shorts Generator
generalTurn text into short-form video
Esyblog
generalSpreadsheet to published SEO articles
Superflex
generalConvert design to production code
AiVOOV
generalGenerate realistic voices in multiple languages
neoSVG
generalConvert text and images to SVG
Luma AI Video Generator Free Online
generalCreate videos from text prompts
Bookwiz
generalWriting assistant for authors and novelists
Fine Pixel
generalUpscale photos and create images from descriptions
Immersive Fox
generalConvert PDFs into interactive courses with adaptive quizzes
AI Humanize
generalRewrite AI content to read like human writing
Humanize AI Text
generalConverts AI text to match human writing style
TTSVox
generalText-to-speech with natural-sounding voices
Koast
generalLaunch, automate, and scale Meta ads from one dashboard
Model Fusion
generalOpen-source framework for building AI applications
LLM tooling has exploded alongside the models themselves, and the category now spans several distinct problem areas. Deployment and serving tools like PeriFlow and Dstack help teams run models efficiently at scale. Evaluation and observability tools like UpTrain and AIWatch track model quality, drift, and cost over time. Memory and retrieval tools like Cognee add persistent context or RAG capabilities to LLM applications. When choosing, the key questions are infrastructure fit (cloud, on-prem, or hybrid), model compatibility (OpenAI-only vs. open-weight models), and whether the tool addresses your actual bottleneck, whether that is latency, cost, accuracy, or developer velocity. Pricing structures vary: some tools charge per token processed, others per seat or per API call. Open-source options exist across most sub-categories, which is worth considering for teams with engineering capacity to self-host.