Create Model
Create a new OCR model with a list of categories or fields to extract, before uploading training images.
Nanonets provides an AI-driven Intelligent Document Processing API that transforms unstructured documents into structured data, enabling efficient data extraction and workflow automation.
Create a new OCR model with a list of categories or fields to extract, before uploading training images.
Permanently deletes an OCR model from Nanonets. Use this action when you need to remove a trained model that is no longer needed. This action is irreversible - once deleted, the model and all its training data cannot be recovered. Prerequisites: Obtain the model_id from the 'Get all OCR models' action first.
Retrieve image classification models in the user's NanoNets account, including available model details and categories.
Retrieve a page of OCR prediction files for a Nanonets model, with available prediction details such as extracted text and field values. Choose a page and page size from 1 to 500; a 404 response is presented as an empty result.
Tool to retrieve details of an OCR model. Use when you need full metadata of a model by its ID.
Retrieve a page of training images associated with an OCR model for inspection before training or analysis. Specify the page and page size; a 404 response is presented as an empty result.
Retrieve the workflows in a Nanonets account to inventory or inspect their configurations.
Retrieve a paginated list of documents processed by a NanoNets workflow, with basic metadata, processing status, verification status, and page information.
Update AI Agent guidelines for an OCR model. Sets instructions for how the AI should handle field and table predictions. Only works for Instant Learning models. Use this to customize extraction behavior for specific document types.
Tool to upload a training image file to a specified OCR model. Use when adding a local image file to train the model. Supported file formats include PNG, JPEG, and PDF.
Upload one or more publicly accessible image URLs to a specified Nanonets OCR model for training.
The Nanonets integration connects your Dench AI CRM directly to Nanonets, so agents can read and act on your Nanonets data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
11 actions are available for agents to invoke on your behalf. Every call runs through Nanonets's own authorization, scoped to the account you connect.
Sign in to your Dench workspace and open Integrations.
Find Nanonets and click Connect — you'll authorize access through Nanonets's own sign-in flow. No API keys or code required.
Ask an agent to use Nanonets in chat, or call it from an automation.
Manage or disconnect the connection any time from workspace settings.
The Dench Nanonets integration connects your AI CRM to Nanonets, so AI agents can work with your Nanonets data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
The Nanonets integration currently exposes 11 actions, including Create Model, Delete OCR Model, Get All Models, Get All Prediction Files, Get OCR Model Details, and Get OCR Training Images. Agents invoke them on your behalf from chat or from automations.
No. You connect Nanonets from your Dench workspace using Nanonets's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Connections are authorized through Nanonets's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Nanonets connection from your workspace settings at any time.