> ## Documentation Index
> Fetch the complete documentation index at: https://pipit.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Providers

> Configure AI providers for enhanced transcription

## Supported Providers

Pipit supports AI providers for post-processing your transcriptions:

<CardGroup cols={2}>
  <Card title="OpenRouter" icon="server">
    Access to Google Gemini, Claude, and many other models through a unified API.

    **Default model:** google/gemini-2.5-flash-lite
  </Card>

  <Card title="Custom Endpoint" icon="database">
    Any OpenAI-compatible API, including local models on your machine.

    **Recommended for:** Privacy-focused users, offline use, cost savings
  </Card>
</CardGroup>

## Why Use Local Models?

Running AI models locally offers three key advantages: **Privacy**, **Cost**, and **Offline Use**. Your transcriptions never leave your machine, and you don't pay per-token fees.

<Card title="Local Model Guide" icon="computer" href="/configuration/local-models">
  Learn how to set up Ollama, LM Studio, and other local inference servers for Pipit.
</Card>

## OpenRouter

For cloud-based AI without managing infrastructure, [OpenRouter](https://openrouter.ai) provides a unified API to access dozens of models including Google Gemini, Anthropic Claude, and open-source models.

<Steps>
  <Step title="Get API Key">
    1. Go to openrouter.ai and sign in
    2. Create an API key from your account settings
    3. Copy the key (you will not see it again)
  </Step>

  <Step title="Configure Pipit">
    1. Open Pipit Settings → AI Processing
    2. Select OpenRouter as the provider
    3. Paste your API key
    4. Choose a model (google/gemini-2.5-flash-lite offers good speed/cost balance)
  </Step>
</Steps>

## Custom Endpoints (Generic)

Any service that provides an OpenAI-compatible API works with Pipit. This includes local inference servers as well as specialist cloud providers.

<Tip>
  Custom endpoints require a valid base URL. API keys are optional and can be left blank for local servers.
</Tip>

### Configuration

To use a custom endpoint, select **Custom Endpoint** in Pipit Settings:

| Setting          | Description                                                                                  |
| :--------------- | :------------------------------------------------------------------------------------------- |
| **Endpoint URL** | The base URL of the API (e.g., `https://api.together.xyz/v1` or `http://localhost:11434/v1`) |
| **API Key**      | Your secret API key (leave blank for local servers)                                          |
| **Model Name**   | The specific model identifier to use                                                         |

### Common Compatible Services

| Service         | URL Format                    | Notes                                                |
| --------------- | ----------------------------- | ---------------------------------------------------- |
| **Ollama**      | `http://localhost:11434/v1`   | [See Local Model Guide](/configuration/local-models) |
| **LM Studio**   | `http://localhost:1234/v1`    | [See Local Model Guide](/configuration/local-models) |
| **Together AI** | `https://api.together.xyz/v1` | High-performance open-source models                  |
| **Fireworks**   | `https://api.fireworks.ai/v1` | Fast, reliable serverless inference                  |
| **LocalAI**     | `http://localhost:8080/v1`    | Docker-based self-hosted AI                          |

## Timeouts

* **OpenRouter:** 3 seconds for fast fallback to raw transcription.
* **Custom endpoints:** 15 seconds to accommodate slower local inference.

## Troubleshooting

For issues specific to running models on your own machine, please refer to the [Local Model Troubleshooting](/configuration/local-models#troubleshooting-local-models) section.