docsapi_key

Nanonets OCR

Nanonets OCR extracts structured data from documents using trained, model-based OCR workflows.

Integration

Vendor
Nanonets OCR
Category
docs
Auth
API_KEY
Tools
6
Composio slug
nanonets_ocr

Tools

  • 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.

  • Get OCR Model

    Get readiness, accuracy, extraction fields, and table configuration for one Nanonets OCR model.

  • 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.

  • Get OCR Prediction Page

    Get normalized extracted fields and tables for one OCR prediction page.

  • List OCR Models

    List the OCR models available to the connected Nanonets account, including each model's ID, readiness state, and extraction categories.

  • 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.

Setup

  1. Create or open a Switchy Project.
  2. Open Integrations and connect Nanonets OCR.
  3. Authorise through api_key. Switchy stores the connection against your org.
  4. Everyone in the Project can now @-mention the Nanonets OCR tools in chat.

What teammates see: by default, memories from Nanonets OCR are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.

Works well with

Top models

Compatibility data appears once enough Projects have used this MCP together with a given model.

How Switchy teams use it

Not enough Projects yet to publish anonymised usage stats (we require ≥ 50 Projects per week).

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Data last verified 31 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.