Nanonets
Intelligent document processing turning invoices, receipts, and forms into structured fields.
Reads an uploaded document, returns its fields as data, and flags low-confidence values.
Use Nanonets with Snow
Snow is a personal AI assistant that builds real apps for you, and they can put Nanonets to work.
What Snow can do with Nanonets
These are the Nanonets operations Snow and the apps you build with it can run. Sign in to choose which ones Snow may run without asking.
Reads6
Look at your data without changing it.
- 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 includes prediction labels with extracted text, confidence scores, and bounding box coordinates for each processed file.
- 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.
Creates3
Add something new to your account.
- 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.
- 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.
Updates1
Change something that is already there.
- 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.
Deletes1
Remove something. This often cannot be undone.
- 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' action first.
Related integrations
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