StealthWriter
generalRewrite AI-generated text to sound human
Browse the best open-source llms tools on Listof.Best — 29 options, ranked by popularity. Compare features, pricing and alternatives at a glance.
Rewrite AI-generated text to sound human
Rewrite AI text to read like human writing
Fast translations across multiple languages
Portfolio platform with galleries and zero-commission sales
Fast, open-source search and AI retrieval engine
Extract text from images, PDFs, and handwritten notes
Automate workflows across macOS apps
Automate podcast editing and social clips
Generate Anki flashcards from study materials
Generate realistic voiceovers and download as MP3 or WAV
Launch, automate, and scale Meta ads from one dashboard
Convert long-form content into short social videos
Content and code generation platform
Canned responses and text shortcuts for support teams
Free browser tool to place text behind images for social media
Convert audio and video to text transcripts
Auto-publishes SEO blog posts weekly
Convert text to audio with natural-sounding voices
Convert images to detailed text prompts instantly
Generate SEO-friendly alt text for images automatically
Document summarization and Q&A
SvelteKit and TypeScript starter for SaaS apps
Minimalist text editor with cloud sync
Humanize AI text for free without signup
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.