Codev
generalTurn text descriptions into full-stack web apps
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.
Turn text descriptions into full-stack web apps
Generate SEO-friendly alt text for images automatically
Code context management for AI coding
Free AI video editor with auto captions
Document summarization and Q&A
AI-powered mobile app builder
Rewrite AI text to sound human
Text-to-speech, voice-to-text, and translation
Create custom emojis with AI
Rewrite AI text to sound more natural
Free text-to-speech in multiple languages
Read Google Docs, PDFs, and webpages aloud
Convert AI-generated Spanish text to human-like writing
Generate professional Spanish copy instantly
SvelteKit and TypeScript starter for SaaS apps
Generate dating app reply options instantly
Generate original music tracks from text descriptions
Chat with custom AI characters and roleplay scenarios
French AI meeting transcription
Voice-to-text dictation and transcription
Convert WhatsApp audio messages to text
Minimalist text editor with cloud sync
AI landing page builder for marketers
Verify claims against reliable sources
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.