---
title: "Nanonets OCR integratie | Growf"
description: "Nanonets OCR extracts structured data from documents using trained, model-based OCR workflows. Koppel Nanonets OCR aan Growf."
url: "https://www.growf.io/nl/integrations/nanonets_ocr/"
language: "nl"
---

Integratie / Document & File Management

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

# Nanonets OCR integratie

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

[Demo aanvragen](https://www.growf.io/nl/demo/)

Over 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.

[Alle integraties](https://www.growf.io/nl/integrations/)

Categorie

Document & File Management

Verbinding

API-sleutel

Type

Tool

Acties

945

Tags

library

Voorbeeldprompts

## Wat je Growf kunt vragen te doen met Nanonets OCR

- “Extract invoice totals from uploaded PDFs”

- “Read purchase orders into structured fields”

- “Convert scanned receipts to expense data”

Beschikbare acties

## 945 acties die je agents kunnen uitvoeren 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.

## Zet Nanonets OCR aan het werk in Growf.

Koppel het één keer en elke workspace, agent en workflow kan het gebruiken — veilig, met je team in de loop.

[Demo aanvragen](https://www.growf.io/nl/demo/)