LOVO
generalText-to-speech with 500+ voices in 100 languages
Browse the best free llms tools on Listof.Best — 103 options, ranked by popularity. Compare features, pricing and alternatives at a glance.
Text-to-speech with 500+ voices in 100 languages
Rewrite AI-generated text to sound human
Turn text into visual charts and infographics
Turn text prompts into AI-generated videos
Create videos with AI actors
Voice-to-text for Mac, Windows, iOS
App translation with full context and human review
Rewrite AI text to read like human writing
Fast translations across multiple languages
Portfolio platform with galleries and zero-commission sales
Voice-to-text transcription for notes and messages
Open-source rich text editor framework with extensions
Fast, open-source search and AI retrieval engine
AI-powered ad creation with optimization for conversions
AI regex generator and tester
AI assistant with web search and file integration
Extract text from images, PDFs, and handwritten notes
Make AI-generated text sound human and undetectable
Turn text into short-form video
Automate workflows across macOS apps
Write essays and homework with AI assistance
Convert AI text to human-sounding content for free
Make AI text read more naturally
Automate podcast editing and social clips
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.