--- title: "Nanonets integration | Growf" description: "Nanonets provides an AI-driven Intelligent Document Processing API that transforms unstructured documents into structured… Connect Nanonets to Growf." url: "https://www.growf.io/integrations/nano_nets/" language: "en" --- Integration / Document & File Management ![Nanonets logo](https://logos.composio.dev/api/nano_nets) # Nanonets integration Nanonets provides an AI-driven Intelligent Document Processing API that transforms unstructured documents into structured data, enabling efficient data extraction and workflow automation. [Get a demo](https://www.growf.io/demo/) About Nanonets ## Nano nets is an AI-powered Intelligent Document Processing API for extracting structured data from unstructured documents. It boosts workflow automation by turning messy documents into clean, usable information. [All integrations](https://www.growf.io/integrations/) Category Document & File Management, AI & Machine Learning Connection API key Type Tool Actions 944 Tags library Example prompts ## What you can ask Growf to do with Nanonets - “Extract table data from recent invoices” - “Upload new receipts for OCR model training” - “List all documents processed by a workflow” - “Get metadata for a specific OCR model” Available actions ## 944 actions your agents can run in Nanonets - Create Model Tool to create a new image classification or OCR model. Use when you need to initialize a model before uploading training images. Provide a list of categories/classes that the model should learn to identify or extract. - Delete OCR Model 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' act… - Get All Models Retrieves all models (OCR and Image Classification) in the user's NanoNets account. Returns model details including ID, type, status, accuracy, and extractable fields/categories. Use to discover available models before performing predictions or training operations. - Get All Prediction Files Retrieve all prediction files (OCR results) for a NanoNets model. Use this tool to: - List all documents/images that have been processed by an OCR model - Get prediction results including extracted text and field values - Access file URLs and processing status for each prediction The response inclu… - Get OCR Model Details Tool to retrieve details of an OCR model. Use when you need full metadata of a model by its ID. - Get OCR Training Images Tool to retrieve training images for an OCR model. Use when you need to page through images associated with a model before training or analysis. - Get Workflows Tool to retrieve a list of all workflows in your Nanonets account. Use when you need to inventory or inspect all configured workflows. - List Workflow Documents Retrieve a paginated list of documents processed by a NanoNets workflow. Returns document metadata including processing status, upload timestamp, verification status, and page details. Use this to monitor document processing progress or access extracted data from previously uploaded documents. - Update Model AI Guidelines 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. - Upload Training Images by File 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 Training Images by URL Tool to upload training images by URL to a specified OCR model. Use when adding URLs of images to a model for training purposes. ## Put Nanonets to work inside Growf. Connect it once and every workspace, agent and workflow can use it — securely, with your team in the loop. [Get a demo](https://www.growf.io/demo/)