Type.ai
generalLong-form writing editor for storytellers
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.
Long-form writing editor for storytellers
Turn text into memes with AI
Convert video to 3D animation instantly
Generate Anki flashcards from study materials
Generate quizzes from text, video, or audio content
Software deals for entrepreneurs
Directory of AI video creation tools with workflows
Canned responses and text shortcuts for support teams
Rewrite text while preserving meaning
Convert PDFs into TikTok-style study videos
AI SEO content creation tool
Extract text from images, documents, and screenshots
Domain name listing on Spaceship marketplace
Text-to-speech, voice-to-text, and translation
Create custom emojis with AI
French AI meeting transcription
Collaborative writing app with AI help
Extract summaries and key points from text
Create, translate, and resize on-brand images in 130+ languages
Information resource for craftui
Humanize AI writing to sound natural
Extract text from images and scanned documents
Text-to-video and image-to-video AI
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.