Realistic AI Voices
generalFree AI sound effect generator from text
llms 32
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.
RegexMy
generalAI regex generator and tester
ShortGen Video
generalGenerate short videos from text prompts
Picture To Text Converter
generalExtract text from images, PDFs, and handwritten notes
Dream Page
generalBuild a blog or website in minutes
Omnipilot
generalAutomate workflows across macOS apps
Audionotes
generalVoice and audio to structured notes
Xpeacho
generalConvert text to human-sounding voiceovers for videos
Cliptics
generalFree AI image and audio tools without signup
InstaSnippet
generalChat interface to automate tasks in apps
Txt Muse
generalWriting tools for brainstorming, drafting, and copy refinement
Context Clue
generalOrganize and search technical documentation across teams
Humanize.im：Humanize AI Text Free Online
generalMake AI-generated text read naturally
Undetectable AI
generalText humanization for AI-generated content
Free AI Kissing Generator
generalTransform images into videos with AI
Rizzle
generalTurn articles into professionally edited video
Lunchbreak AI
generalHumanize AI text to pass detection
AIBypasser.Pro
generalRewrite AI-generated text to avoid detection
CopyOwl.ai
generalWrite research papers and essays with citations
Stable Video Diffusion Online
generalConverts still images into short videos
Story Diffusion Gen
generalGenerate consistent images and videos from text
CAMBIADOR DE PALABRAS
generalRewrite text in Spanish and remove plagiarism
16x Prompt
generalCode context management for AI coding
Solace
generalDocument summarization and Q&A
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.