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General LLM tools include frameworks, APIs, evaluation utilities, and infrastructure specifically built around large language models. This category covers 369 tools that help developers build, test, fine-tune, and run applications on top of LLMs, from embedding calculators to full model-serving platforms.
Get instant feedback on your writing to sound more natural
Make AI-generated text sound natural and human-like
Publish 50+ SEO-optimized articles monthly with full automation
Extract text from images, PDFs, and handwritten notes
Generate custom T-shirt designs from text or images
Translate subtitles in SRT, VTT, MP3, MP4, and WAV files
Transform AI-generated content to read more naturally
Fast, SEO-ready blogging platform with zero maintenance
Make AI-generated text sound human and undetectable
Build a blog or website in minutes
News monitoring and trend analytics for business teams
Turn text into short-form video
Automate workflows across macOS apps
Spreadsheet to published SEO articles
Voice and audio to structured notes
Write essays and homework with AI assistance
SVG.io to PicTrix migration guide and membership mapping
Quick and accurate translation across multiple languages
Convert AI text to human-sounding content for free
Make AI-generated text read more naturally and less robotic
Make AI text read more naturally
Automate freight forwarding and logistics workflows
Match similar names and addresses in databases
Automate podcast editing and social clips
This is a technically focused category aimed primarily at developers and ML engineers. Tools like Cognee and UpTrain address retrieval-augmented generation (RAG) pipelines and model evaluation, while platforms like Dstack and PeriFlow handle compute infrastructure for training and inference. Embedding Similarity Calculator and similar utilities fill narrow but useful gaps in LLM development workflows. OpenAssistant and Cerebras-GPT represent open-source or open-weight models that developers can run or fine-tune directly. When comparing options, consider whether a tool is model-agnostic or tied to a specific provider, and whether it supports the models you are already using. Latency, throughput, and cost-per-token are the metrics that matter most for production workloads. Evaluation tools are often underinvested in early projects but become critical once you are shipping to users. Many tools here are open source with paid managed versions, while others are closed SaaS products with usage-based pricing.