X-Me AI
generalGenerate avatar videos from text in 10 seconds
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.
Speechki
generalText-to-speech with 1,100+ voices in 80+ languages
Text Wallpaper Generator
generalFree custom text wallpapers for devices and servers
Text2Note
generalExtract summaries and key points from text
Translate.Photo
generalCreate, translate, and resize on-brand images in 130+ languages
All-in-One AI (オールインワンAI)
general200+ AI tools in one app for text and image generation
PureCode AI
generalAI code generation for.NET teams
AudioBot
generalText to speech
Nexform
generalBuild forms from ideas using AI
AI Voice Generator Bot
generalText to speech with 25+ voices
Data Science in Libraries
generalData science programs in libraries
Novli
generalLearn Chinese by photographing text
Официальный сайт Вавада
generalRussian casino with free spins
Transcripo
generalConvert audio and video to text or subtitles, with summaries
Docugram
generalTurn documents and text into flowcharts with AI
LemonChat
generalText and video chat with strangers worldwide, no signup required
Imagine Stories
generalCreate children's stories and therapeutic texts with AI
Summarie
generalSummarize long-form text and extract key information
craftui.studio
generalInformation resource for craftui
Soundify
generalGenerate sound effects for videos and memes with AI
SIREN
generalTranscription, speech-to-text, text-to-speech, dubbing, and live captions
Productly
generalImport products from Amazon and AliExpress to Shopify with AI
Neunera
generalAutomate Pinterest marketing and affiliate growth
HumanizeAI
generalMake AI-generated text sound natural and human-written
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.