Talkito
Enables developers to interact with AI systems through speech across multiple channels, functioning as both a command-line tool and a Python library.
About
Talkito empowers developers to seamlessly engage with AI code editors and other AI assistants using natural speech. It bridges the gap between human voice commands and AI systems, offering text-to-speech (TTS) for AI responses and automatic speech recognition (ASR) for user input. Beyond the terminal, Talkito extends its reach to popular communication platforms like Slack and WhatsApp, allowing for integrated voice and text interactions. It also provides an MCP (Model Context Protocol) server, enabling AI applications to easily integrate advanced voice capabilities.
Key Features
- Pluggable support for various TTS, ASR, and communication providers (e.g., OpenAI, AWS, Google, Twilio)
- 3 GitHub stars
- Usable as a command-line tool, Python library, and web extension
- Multi-channel communication: terminal, Slack, WhatsApp, and SMS
- Voice interaction with AI (Text-to-Speech and Automatic Speech Recognition)
- MCP Server for integrating voice capabilities into AI applications
Use Cases
- Automating AI responses and interactions across messaging platforms like Slack and WhatsApp
- Integrating real-time speech-to-text and text-to-speech into custom AI applications
- Voice-controlled interaction with AI code editors (e.g., Claude Code, Cursor, Aider)