# Introduction

Welcome to the official documentation for Hidoba Research APIs. This documentation provides comprehensive guides and references for integrating our AI-powered services into your applications.

## API Offerings

Hidoba Research provides the following API offerings:

| API | Base URL |
| --- | --- |
| Voice calls, transcription, TTS, and dialog analysis | `https://backend.hidoba.com` |
| Messages API v3 | `https://msg.hidoba.com` |
| Knowledge API | `https://knowledge.hidoba.com` |
| Voice API | `https://voice.hidoba.com` |

### Voice Calls SDK

Enable real-time voice conversations with AI characters in your web applications. The SDK handles all the complex audio processing, streaming, and communication with our backend services.

[Get started with Voice Calls SDK](./voice-calls/overview.md)

### Messages API v3

Send OpenAI-compatible text generation requests to `https://msg.hidoba.com`. Use it for chat completions, Responses API calls, character prompts, configured knowledge context, streaming, fallback models, and quota-tracked usage.

[Get started with Messages API v3](./msg-api/overview.md)

### Transcript API

Convert audio to text. Provide an audio URL or upload a file, and receive a full speech-to-text transcription.

[Get started with Transcript API](./transcript-api/overview.md)

### TTS API

Convert text into speech audio with the OpenAI-compatible `https://backend.hidoba.com/v2/audio/speech` endpoint.

[Get started with TTS API](./tts-api/overview.md)

### Dialog Analysis API

Analyze conversations to extract user insights and generate structured feedback. Pass in dialog history and user profile, and receive updated profile data along with custom feedback metrics.

[Get started with Dialog Analysis API](./dialog-analysis/overview.md)

## For LLMs and AI assistants

This documentation is also available in LLM-friendly plain text: `/llms.txt` links to every page as Markdown, and `/llms-full.txt` contains the full content of all pages in a single file. Every individual page is also available as raw Markdown by appending `.md` to its URL.