Nanonets integration

Document AI: OCR, invoice/receipt extraction, custom trainable models, table extraction

Help CentreConnectors

Overview

Nanonets is a document AI platform – OCR, invoice/receipt extraction, custom trainable models, table extraction. The Automize Nanonets connector covers these.

  • Regions: Global.
  • Plans: Per-page pricing.

Setting up the connection

Auth type: HTTP Basic.

  1. Nanonets dashboard → API Keys → copy.
  2. In Automize → Settings → Connectors → Nanonets. Paste key.

Find your credentials at https://app.nanonets.com/.


Rate limits

Per-account.


Data model

Document AI:

    Models – prebuilt (invoice, receipt, ID) + custom-trained
    Documents – uploaded + parsed
    Workflows – multi-step extraction pipelines

Available operations

5 operations available. Click any row to jump to its detail.

OperationCategoryWhat it does
Get ModelGeneralGet model details and status
Get PredictionGeneralGet a specific prediction result
List PredictionsGeneralList recent predictions for a model
Predict from FileGeneralExtract data from a document using a model
Predict from URLGeneralExtract data from a document URL

Operations

Get Model

Get model details and status

ParameterRequiredTypeDescription
Model Id model_idYestext

Get Prediction

Get a specific prediction result

ParameterRequiredTypeDescription
Model Id model_idYestext
Prediction Id prediction_idYestext

List Predictions

List recent predictions for a model

ParameterRequiredTypeDescription
Model Id model_idYestext

Predict from File

Extract data from a document using a model

ParameterRequiredTypeDescription
Model Id model_idYestext

Predict from URL

Extract data from a document URL

ParameterRequiredTypeDescription
Model Id model_idYestext
Urls urlsYestext

FAQ

Custom training?
Upload labeled samples in Nanonets UI. Service trains + returns model_id. Then call with model_id.

Related connectors

See it working on your own data

Everything documented here ships with the platform – try the document tools free, or go live in 7 days.