Integration / Document & File Management
Nanonets OCR integration
Nanonets OCR extracts structured data from documents using trained, model-based OCR workflows.
About Nanonets OCR
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.
All integrations- Category
- Document & File Management
- Connection
- API key
- Type
- Tool
- Actions
- 6
- Tags
- library
Example prompts
What you can ask Growf to do with Nanonets OCR
- “Extract invoice totals from uploaded PDFs”
- “Read purchase orders into structured fields”
- “Convert scanned receipts to expense data”
Available actions
6 actions your agents can run in Nanonets OCR
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.
Put Nanonets OCR to work inside Growf.
Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop.