Magiclight.AI
generalTurn text prompts into AI-generated videos
llms 30
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.
Tolgee
generalApp translation with full context and human review
HumanizeAI.io
generalConvert AI text to natural, human-like writing
Formula Bot
generalGenerate Excel formulas and analyze spreadsheets without coding
Tiptap
generalOpen-source rich text editor framework with extensions
HumanizeAI Tools
generalMake AI text read more naturally
Podcraftr
generalAutomate podcast editing and social clips
EssayFlow
generalAI essay writing tool for students and professionals
VoiceDub
generalAI voice covers for songs with 10,000+ voices
An AI employee that works 24/7 for your business
generalSMS automation for local businesses
Talespinner
generalGenerate story outlines and full narratives from prompts
Undetectable Humanizer to Bypass AI Detectors
generalRewrite AI text to read human-written
Vidboard AI
generalAI video maker and editor
Kwirk
generalAI-powered writing and productivity tools
Vocalize
generalCreate AI voice covers and text-to-speech audio
Create N Play
generalCreate AI-generated text adventure games for Discord
Transcribe to Text Audio & Video
generalConvert audio and video to text transcripts
ImageComply
generalGenerate alt text for images automatically
Reescribir Textos
generalRewrite text and rephrase content
a0.dev
generalAI-powered mobile app builder
YouMusic.AI
generalGenerate original music tracks from text descriptions
Yozo
generalAI marketing team for e-commerce stores
Humanize AI
generalHumanize AI text for free without signup
Summarie
generalSummarize long-form text and extract key information
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.