Add a voice-powered question-and-answer assistant to an existing documentation site.
Self-host a voice AI pipeline instead of depending on a third-party widget service.
Deploy a Next.js server and a lightweight client script to give users spoken doc search.
| anandwana001/doc-talk | 0xradioac7iv/tempfs | 7vignesh/pgpulse | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 3/5 | 4/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a free Agora account, Node.js 18+, and pnpm before the voice pipeline will run.
DocTalk is an open-source tool that adds a voice assistant to any documentation website. Instead of typing a question and searching through pages, a visitor clicks a button, speaks their question out loud, and hears a spoken answer pulled directly from the site's documentation. The README describes the flow simply: the user's speech gets converted to text, sent to an AI model to figure out the answer, that answer is turned back into speech, and the whole thing is spoken back to the user, with a search step in the middle that finds the relevant pieces of documentation to base the answer on. The project is self-hosted, meaning you run it yourself rather than relying on someone else's service. It ships as two parts: a server piece built with Next.js that you deploy to a hosting provider like Vercel or Railway, and a tiny client script you paste into your existing website with just two lines of code. Because you host it yourself, you use your own account with Agora, the company that provides the voice technology, and your own documentation and data stay on your own infrastructure. Getting started involves creating a free Agora account, having Node.js and the pnpm package manager installed, cloning the repository, installing dependencies, and filling in a configuration file with your Agora credentials and a pointer to your documentation. Once it's running locally, you can test the voice interface in your browser before adding the small embed script to your real website. Under the hood, it combines Agora's real-time voice and transcript tools with a GPT-4o-mini language model and MiniMax text-to-speech, plus a lightweight search system called MiniSearch that finds the right documentation chunks for each spoken question. The project includes written guides covering how it works, configuration options, integration steps, and deployment. It is released under the MIT license, so it is free to use, modify, and even host commercially.
A self-hosted, open-source SDK that adds a voice assistant to any documentation website, letting visitors ask questions out loud and hear spoken answers.
Mainly TypeScript. The stack also includes TypeScript, Next.js, Agora.
MIT license: free to use, modify, and even self-host commercially with no restrictions.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.