LOVO
generalText-to-speech with 500+ voices in 100 languages
llms 24
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.
StealthWriter
generalRewrite AI-generated text to sound human
Magiclight.AI
generalTurn text prompts into AI-generated videos
Superwhisper
generalVoice-to-text for Mac, Windows, iOS
Tolgee
generalApp translation with full context and human review
Letterly App
generalVoice-to-text transcription for notes and messages
Tiptap
generalOpen-source rich text editor framework with extensions
HideMyAl
generalMake AI-generated text sound human and undetectable
HumanizeAI Tools
generalMake AI text read more naturally
Podcraftr
generalAutomate podcast editing and social clips
EssayFlow
generalAI essay writing tool for students and professionals
Free AI Logo Maker
generalGenerate custom logos from text
TakeNote
generalCapture financial adviser meetings with FCA-compliant notes
Vidboard AI
generalAI video maker and editor
Text to Speech.im：Convert Text to Speech Free Online
generalText to speech conversion
Lyrics to Song AI Generator
generalTurn lyrics into full songs with genre and mood control
Transcribe to Text Audio & Video
generalConvert audio and video to text transcripts
Image to Prompt AI
generalConvert images to detailed text prompts instantly
a0.dev
generalAI-powered mobile app builder
YouMusic.AI
generalGenerate original music tracks from text descriptions
txtpad.io
generalMinimalist text editor with cloud sync
ClipLab
generalTransform story ideas into short-form videos
Humanize AI
generalHumanize AI text for free without signup
Wisp
generalHeadless CMS for Next.js 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.