AI Text Generator Free
generalGenerate unique text for blogs, marketing, and writing projects
llms 27
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.
Superblog
generalFast, SEO-ready blogging platform with zero maintenance
MemoriPy
generalLearn faster with spaced repetition and active recall
Story Path
generalGenerate story branches and plot ideas
Textbuddy
generalAI writing tools for clear, human-like content
Botowski
generalAI content generation for businesses
The Best Handwriting OCR with latex equations
generalHandwriting and math OCR
Satellitor
generalAutomatically write and publish SEO blog posts
Articly.ai
generalGenerate SEO blog posts automatically
MagicBlog
generalAuto-generate and publish SEO blog content daily
Anifusion
generalGenerate manga pages from story descriptions
GPT Reader & Transcriber
generalChrome extension for text-to-speech, speech-to-text, and dictation
Essay Typer
generalEssay writer for academic assignments
Turn Your Videos Into Books, Lead Magnets & Sales Funnels
generalBlueprint for converting videos and podcasts into books
Vexub
generalCreate short videos from text with AI
Thundr
generalFree video chat with random people
Rayo AI Blog Writer
generalFree AI blog writing tool
SpeedyAudios
generalConvert WhatsApp audio messages to text
Symvol
generalTransform complex ideas into consistent educational videos
aiausmalbilder
generalGenerate free printable coloring pages with AI
AI Song Generator
generalConvert text descriptions into full songs
AI Voice Generator Bot
generalText to speech with 25+ voices
DaVinci AI
generalGuide to using AI tools for content creation
KQBD
generalLive soccer scores and match schedules
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.