Welcome to the getting started guide for Nanonets!
You can now capture data from any document, in any format and language, and automate repetitive tasks. Our AI-powered, template-agnostic solution is flexible and can be tailored to your specific needs.
Whether it’s managing accounts payable, vendor receipts, customer benefits, restaurant onboarding, or employee data verification, let us do the data extraction so you can focus on what matters most
Use this checklist to get started with Nanonets
Choose your AI model
If you have a common use case such as invoices, tables, receipts, bills, purchase orders, or IDs, we have pre-built models that are trained on millions of documents and can automatically extract your data. If your document type is not included in the available options, you can create your own model based on your specific requirements.
Using a Pre-Built model
If you have selected any of the following document types: invoices, tables, receipts/bills, US driver's licenses, passports, or purchase orders, then follow the steps below or learn how to train a custom model.
Step 1: Upload your documents on the Extract Data screen
Step 2: Verify your data by clicking on the file
Step 3: Download data by clicking on the button at the bottom left
Voila! You can now extract data using Nanonets like a pro! Wasn't that a piece of cake? :
Using a Custom model
Training the model is only necessary until the AI extracts data with the desired accuracy.
If you want to create your model, you can look at this video guide.
- Step 1: Upload Files (min 10 files here)
- Step 2: Add the fields you want to capture, like the date, name, ID, address, etc. Once done, click Start Training.
- Step 3: Add examples for each of these fields. For guidance, please take a look at the above video.
- Step 4: Hit Train Model Button
- Step 5: Once your model is trained, you can extract data by uploading new files
Covered with 101, here are a few more things you can look into
If you have any doubts or questions, please feel free to reach out to Nanonets Support.