• VISION
  • AUDIO
  • DATA
  • HUMAN

How to run specialized AI inference with your AI

Connect DeepInfra to your AI client to handle tasks like transcription or image reading. Once connected, your agent uses specialized models to process data that standard LLMs struggle with.

Ask AI about this page

Short answer

How can I run specialized AI inference with my AI?

You use the DeepInfra MCP to trigger specialized models for tasks like OCR or speech-to-text. Your agent sends the data to DeepInfra's serverless infrastructure and gets the processed result back. This gives your agent new ways to interpret files.

The outcomes

What your agent produces

DeepInfra provides the raw data your agent needs to understand non-text files.

VISION

Text from images

The AI uses OCR models to read documents or screenshots. You get structured text back from visual files.

AUDIO

Speech to text

Your agent converts audio files into written text. This makes spoken recordings searchable and readable.

DATA

Complex file parsing

Specialized models handle data formats that standard text prompts can't parse. You get clean data for your agent to work with.

HUMAN

Manual verification

You review the transcribed text or OCR results. This ensures the specialized model didn't miss any critical details.

The workflow

What your AI does when specialized data arrives.

The agent offloads heavy computation to specialized models.

  1. Identify the task

    Your agent looks at the file or request and realizes it needs a specialized model for OCR or audio processing.

    run_native_inference

  2. Execute inference

    The agent sends the raw data to DeepInfra to run the specific model required for the job.

    run_native_inference

  3. Receive processed data

    DeepInfra returns the text, transcription, or analysis back to your agent.

    run_native_inference

  4. Finalize the response

    Your agent takes the new information and answers your original question or completes the requested task.

    run_native_inference

Try it

Copy these to start.

Use these prompts to trigger specialized tasks.

Starting points

These are opening lines. Swap out the file names or specific tasks to match your actual files.

DeepInfra Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_RMvS2UlIMhdShOjNbZfqar6XAZE9QfzTMbaejxJY/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — DeepInfra capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deepinfra-serverless-llm-inference-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RMvS2UlIMhdShOjNbZfqar6XAZE9QfzTMbaejxJY/mcp"
    }
  }
}
Copy into chat04

  • Run OCR on the screenshot in my project folder to extract the table data.

  • Transcribe the audio file from the meeting in my downloads folder.

  • Use specialized inference to read the text in this uploaded PDF.

  • Analyze the contents of the image I just attached using the OCR model.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect DeepInfra once, then ask.

Click the link to connect your account. Your credentials stay encrypted, and you can start using these tools in your preferred AI client immediately.

Connect DeepInfra to your AI

FAQ

How specialized inference behaves

  • 01

    Can my AI run these models locally?

    No. The inference runs on DeepInfra's serverless infrastructure, not on your computer.

  • 02

    Does the AI decide which model to use?

    Yes. Your agent determines if a task requires specialized inference and calls the tool accordingly.

  • 03

    Can the AI edit the original audio or image files?

    No. The tool only reads and processes the data to return text or analysis. It does not modify your files.

  • 04

    What happens if the OCR fails?

    The agent will receive an error or empty result from the tool, and you will need to check the file quality.

  • 05

    Do I need to provide my own API keys for the models?

    No. Once you connect DeepInfra, the MCP handles the necessary connections to the inference engine.

  • More questions about DeepInfra? The Connector page answers them. See everything the DeepInfra Connector can do

Connect DeepInfra to Claude, Cursor, ChatGPT & more