Colossyan Creator
generalCreate videos with AI actors
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.
Create videos with AI actors
Fast translations across multiple languages
AI regex generator and tester
Extract text from images, PDFs, and handwritten notes
Automate workflows across macOS apps
Convert AI text to human-sounding content for free
Convert text to human-sounding voiceovers for videos
Writing tools for brainstorming, drafting, and copy refinement
AI medical documentation for clinical notes
Humanize AI text to pass detection
Content and code generation platform
Summarize videos, audio, PDFs, and websites
Generate consistent images and videos from text
Study complex topics through your favorite characters and memes
Rewrite text in Spanish and remove plagiarism
Free online notepad for quick note-taking and organization
Document summarization and Q&A
Build forms from ideas using AI
Data science programs in libraries
Generate sound effects for videos and memes with AI
Free online tool that translates text from images to English or other languages
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.