Codev
generalTurn text descriptions into full-stack web apps
llms 369
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.
Free Instant AI Alt Text Generator
generalGenerate SEO-friendly alt text for images automatically
16x Prompt
generalCode context management for AI coding
clipvideo.ai
generalFree AI video editor with auto captions
Solace
generalDocument summarization and Q&A
a0.dev
generalAI-powered mobile app builder
AI Text Humanizer
generalRewrite AI text to sound human
Voisi
generalText-to-speech, voice-to-text, and translation
AI Emoji Generator
generalCreate custom emojis with AI
Free AI Text Humanizer
generalRewrite AI text to sound more natural
Text to Speech Converter (Free TTS)
generalFree text-to-speech in multiple languages
Voice Out
generalRead Google Docs, PDFs, and webpages aloud
Humanizador de IA (Humanizar Texto IA Gratis)
generalConvert AI-generated Spanish text to human-like writing
Generador de Textos Gratis Online con IA Automático
generalGenerate professional Spanish copy instantly
KitForStartups
generalSvelteKit and TypeScript starter for SaaS apps
Rizz AI
generalGenerate dating app reply options instantly
YouMusic.AI
generalGenerate original music tracks from text descriptions
Privee AI
generalChat with custom AI characters and roleplay scenarios
Agilotext
generalFrench AI meeting transcription
Wispr Flow
generalVoice-to-text dictation and transcription
SpeedyAudios
generalConvert WhatsApp audio messages to text
txtpad.io
generalMinimalist text editor with cloud sync
Landing
generalAI landing page builder for marketers
Parafact
generalVerify claims against reliable sources
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.