elevenlabs

World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.

An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI

ElevenLabs UI is a component library and custom registry built on top of shadcn/ui to help you build multimodal agents faster.

Automated YouTube Shorts pipeline: news → script → AI visuals → voiceover → captions → upload

Free, high-quality text-to-speech API endpoint to replace OpenAI, Azure, or ElevenLabs

AI-native video production toolkit for Claude Code

Realtime Voice AI with 100+ Models on Arduino ESP32 with Secure Websockets and Edge Functions for AI Companions, and Devices

The official ElevenLabs MCP server

Native speech-to-text for Linux - Fast, accurate, private, and hackable system-wide dictation

说点啥（BiBi Keyboard）:一个基于 Kotlin 的 Android 平台的 LLM 与 ASR 语音输入法键盘应用 An LLM ASR voice input method keyboard application for the Android platform based on Kotlin

Conversational voice AI agents

Local, OpenAI-compatible text-to-speech (TTS) API using Chatterbox, enabling users to generate voice cloned speech anywhere the OpenAI API is used (e.g. Open WebUI, AnythingLLM, etc.)

Like the macOS say command, but with a modern voice.

Your own personal voice assistant: Voice to Text to LLM to Speech, displayed in a web interface

用 ChatGPT／Codex 安裝 AI 剪輯環境，並依八大步驟完成可驗證的短影音剪輯。

This project is a digital human that can talk and listen to you. It uses OpenAI's GPT to generate responses, OpenAI's Whisper to transcript the audio, Eleven Labs to generate voice and Rhubarb Lip Sync to generate the lip sync.

A Conversational Assistant equipped with synthetic voices including J.A.R.V.I.S's. Powered by OpenAI and IBM Watson APIs and a Tacotron model for voice generation.

Collections of skills for building with ElevenLabs

End-to-end platform for building voice first multimodal agents