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
- Create or open a Switchy Project.
- Open Integrations and connect Nanonets OCR.
- Authorise through api_key. Switchy stores the connection against your org.
- 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.