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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.
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Free browser tool to place text behind images for social media
Platform for publishing technical expertise to a global audience
Generate manga pages from story descriptions
Chrome extension for text-to-speech, speech-to-text, and dictation
Create AI-generated text adventure games for Discord
AI-assisted investment platform with automated savings and tax features
Essay writer for academic assignments
Rewrite AI text to pass human detection
Blueprint for converting videos and podcasts into books
Convert audio and video to text transcripts
Extract text from images, documents, and screenshots
Free paraphrasing tool for essays and articles
Generate alt text for images automatically
AI text generation in Spanish
Rewrite text and rephrase content
Write research papers and essays with citations
Converts still images into short videos
Generate consistent images and videos from text
AI workspace for filmmaking workflows
Rewrite text for grammar and clarity
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.