# Nanonets OCR

```json
{
  "name": "Nanonets OCR",
  "slug": "nanonets_ocr",
  "url": "https://composio.dev/toolkits/nanonets_ocr",
  "markdown_url": "https://composio.dev/toolkits/nanonets_ocr.md",
  "logo_url": "https://logos.composio.dev/api/nanonets_ocr",
  "categories": [
    "document & file management"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:33:17.278Z"
}
```

![Nanonets OCR logo](https://logos.composio.dev/api/nanonets_ocr)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Nanonets OCR MCP or direct API to extract document fields, process invoices, read receipts, and query OCR results through natural language.

## Summary

Nanonets OCR is a model-based OCR service for extracting structured data from invoices, receipts, forms, and other documents.
It helps turn messy scanned files and PDFs into clean, usable data with trained workflows.

## Categories

- document & file management

## Toolkit Details

- Tools: 6

## Images

- Logo: https://logos.composio.dev/api/nanonets_ocr

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Nanonets OCR.
  - Setup:
    - Configure Api Key credentials for Nanonets OCR.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Extract invoice totals from uploaded PDFs
- Read purchase orders into structured fields
- Convert scanned receipts to expense data

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NANONETS_OCR_EXTRACT_FROM_URL` | Extract From Public URL | Synchronously extract model-defined fields and tables from one publicly reachable document URL. Returns durable page and file IDs even when the model finds no matching fields. |
| `NANONETS_OCR_GET_MODEL` | Get OCR Model | Get readiness, accuracy, extraction fields, and table configuration for one Nanonets OCR model. |
| `NANONETS_OCR_GET_PREDICTION_FILE` | Get OCR Prediction File | Get normalized extraction results for every page of one previously processed Nanonets OCR file. A successful page can have no extracted fields. |
| `NANONETS_OCR_GET_PREDICTION_PAGE` | Get OCR Prediction Page | Get normalized extracted fields and tables for one OCR prediction page. |
| `NANONETS_OCR_LIST_MODELS` | List OCR Models | List the OCR models available to the connected Nanonets account, including each model's ID, readiness state, and extraction categories. |
| `NANONETS_OCR_LIST_PREDICTIONS` | List OCR Predictions | List compact OCR prediction-page summaries for a model within an inclusive UTC date range. Nanonets returns the entire matching range without pagination, so prefer narrow ranges when a model has substantial history. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Nanonets OCR Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Nanonets OCR actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Extract invoice number, vendor name, due date, and total amount from the latest invoice using Nanonets OCR'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Extract invoice number, vendor name, due date, and total amount from the latest invoice using Nanonets OCR'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Nanonets OCR
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Nanonets OCR tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Extract line items, subtotal, tax, and total from a scanned invoice using Nanonets OCR')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Extract line items, subtotal, tax, and total from a scanned invoice using Nanonets OCR'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Nanonets OCR Integration

- Supports both Nanonets OCR MCP and direct API based integrations
- Structured, LLM-friendly schemas so agents can run OCR workflows without brittle glue code
- Rich coverage for extracting, reading, and querying structured document data from Nanonets OCR

### 2. Managed Auth

- Secure API key handling so you don't have to hard-code Nanonets OCR credentials
- Central place to manage, scope, and revoke Nanonets OCR access
- Per user and per environment credentials for safer document automation

### 3. Agent Optimized Design

- Tools are designed for AI agents to understand document extraction tasks clearly
- Reliable schemas help agents map invoice totals, receipt fields, form values, and OCR outputs into useful results
- Comprehensive execution logs so you always know what document action ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Nanonets OCR
- Scoped, least privilege access to Nanonets OCR document workflows
- Full audit trail of agent actions to support review and compliance

## Use Nanonets OCR with any AI Agent Framework

Choose a framework you want to connect Nanonets OCR with:

None listed.

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## Frequently Asked Questions

### Do I need my own developer credentials to use Nanonets OCR with Composio?

Yes, Nanonets OCR requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
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