Convictional
generalTeam communication platform replacing Slack
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.
TranscriptionPlus
generalFast AI transcription of audio and video
AIMusixer
generalGenerate and download AI-created songs instantly
makeaudio.app
generalText-to-audio conversion with multiple languages and voice options
Patee.io
generalAI speech-to-text and tape transcription service
Behnevis Persian (Farsi) Keyboard, Editor and Speech to Text
generalPersian keyboard, editor, and speech-to-text converter
tulz.AI
generalAI audio transcription for multiple languages
Flux Video AI
generalText-to-video and image-to-video AI
PhxTemplates
generalElixir Phoenix SaaS templates and boilerplate
Online Tools
generalVideo downloader for social media
AI Voice Generator
generalGenerate celebrity voices from text in seconds
LanguageGUI
generalOpen-source UI toolkit for formatting LLM outputs as rich interfaces
Free AI Infographic Generator
generalCreate professional infographics with an intuitive AI maker
Kaggle Competitions
generalParticipate in AI competitions and benchmark models against thousands
Vectify
generalConvert text prompts into scalable vector designs and illustrations
Audeus
generalRead PDFs, Google Docs, Word files aloud with immersive text-to-speech
Char
generalAI notepad that executes your tasks
CoreWeave
generalGPU cloud infrastructure optimized for AI workloads
Creative Arena by Contra
generalAI model comparison and evaluation
Paperspace
generalCloud GPU platform with NVIDIA H100 for AI workloads
Lambda Cloud
generalGPU instances for AI training and inference
Cerebras-GPT
generalOpen-source GPT models for large-scale deployment
OpenAssistant
generalOpen-source LLM for local or self-hosted deployment
Dataloop AI
generalData management and labeling for LLM development
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.