Text Reader
generalConvert text to audio with natural voices
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.
Note This Down
generalTranscribe and summarize meetings and lectures
Wordfixerbot
generalRephrase text quickly and clearly
AI Sound Effect Generator
generalGenerate sound effects with AI
Podcast Show Notes Generator
generalAuto-generate podcast summaries
Tellers
generalAI video editor with auto-transcription
I Have a Dream
generalScript and video editor for social media
Flickify
generalConvert articles and text to video
Humanizey AI
generalRewrite AI text to bypass detection
BypassGPT.co
generalHumanize AI text to bypass detection
Image to Text Converter
generalExtract text from images and scanned docs
Vidboard AI
generalAI video maker and editor
OK9
generalContent and code generation platform
Translate Images with OCR while Preserving Text Formats to 130+ Languages
generalTranslate images to 130+ languages while preserving formatting
Kwirk
generalAI-powered writing and productivity tools
CopyGenius
generalWrite product descriptions, ad copy, and blog outlines
XA AI Music
generalGenerate royalty-free music across multiple styles
Yippity
generalTurn notes into study decks with AI tutoring
Wordhero
generalWrite high-quality blog posts and content fast
MagicBlog
generalAuto-generate and publish SEO blog content daily
Textomap
generalTurn text, images, and prompts into interactive maps
GACOR25
generalOnline gaming platform
Text to Speech.im：Convert Text to Speech Free Online
generalText to speech conversion
AdoriAI
generalAI video generation
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.