BityClips
generalDirectory of AI video creation tools with workflows
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.
Directory of AI video creation tools with workflows
Create music from text prompts or melodies
Voice cloning and text-to-speech on a pay-as-you-go model
Canned responses and text shortcuts for support teams
Extract text from images via OCR
Rewrites AI text to mimic natural human writing
Voice and keyboard note-taking with dictation
Business reporting with automated data analysis
Convert AI-generated text to human-sounding writing
Music, sound effects, and speech generation on edge hardware
SMS, WhatsApp, and voice agents for Microsoft Teams
Convert typed text to realistic handwritten notes
Generate videos with customizable templates
Create AI voice covers and text-to-speech audio
Rewrite text while preserving meaning
AI voice generator with 450+ voices
Professional plagiarism detection for text
Convert PDFs into TikTok-style study videos
Create AI music and songs for free
Summarize videos, audio, PDFs, and websites
AI SEO content creation tool
Rewrite AI-generated text to avoid detection
Turn lyrics into full songs with genre and mood control
Convert audio and video to text
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.