JSON schema and JavaScript model classes for dealing with time-aligned transcripts of speech.
Fetch transcript from a youtube video
Fetch transcript from a YouTube video
n8n community node for Transcript.lol - AI-powered audio and video transcription service
Pi extension. The /btw slash command, for putting a one-off side question to the same primary model without polluting the main conversation.
A server built on the Model Context Protocol (MCP) that enables direct downloading of YouTube video transcripts, supporting AI and video analysis workflows.
Assistant-first CLI for running, inspecting, and debugging local testkit suites
A YouTube video transcript extractor based on reverse-engineered youtube-transcript.io
This is an MCP server that allows you to directly download transcripts of YouTube videos.
Fetch transcript from a youtube video
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ProseMirror's document model
Harness-backed AI testing on top of Vitest.
The headless CRM for Claude
Paperclip adapter for Hermes Agent — run Hermes as a managed employee in a Paperclip company
3-pass meeting transcript extraction pipeline (structural -> synthesis -> brief).
Mesh terminal agent CLI. Zero-config: ships with a shared Mesh LLM proxy so no AWS credentials are needed.
MCP App Server for live speech transcription
Microsoft Omnichannel Chat SDK
Telegram daemon for Claude Code that preserves the OpenClaw per-chat session model. Migration path for OpenClaw users moving to Claude Code.
Get accurate and well named css box model information about an Element 📦
An easy-to-use speech toolset. Includes tools for synthesis, recognition, alignment, speech translation, language detection, source separation and more.
Parser and generator for CSS color strings
Local CLI for turning YouTube captions into rich Markdown context files for agents.
Idiomatic Ruby client for Groq's OpenAI-compatible API. Covers chat completions (sync + streaming), embeddings, audio (speech, transcription, translation), models, files, and batches. Built on Net::HTTP, with parameter validation via dry-schema and internal Result-based control flow via dry-monads.
`ai_client` is a versatile Ruby gem that offers a seamless interface for integrating a wide range of AI service providers through a single, unified API. With `ai_client`, you can simply specify the model name and quickly leverage advanced features such as chatting, transcription, and speech synthesis. The gem supports prominent providers, including OpenAI, Anthropic, Google, Mistral, LocalAI, Ollama, and OpenRouter, making it easier than ever to build innovative applications. Plus, its flexible middleware architecture allows for easy customization of request and response handling, ensuring that you can harness the power of AI without vendor lock-in.