Nanonets

Nanonets is an online platform that extracts data from documents with remarkable speed.

How to use Nanonets

1. Create an account and choose “New Workflow” from the dashboard.
2. Upload sample files—PDFs, images or scanned forms—to train the model.
3. Label the fields you want captured with the drag-and-drop editor.
4. Run a test batch to check field recognition and tweak if required.
5. Connect your preferred storage or ERP through the built-in integrations.
6. Schedule automatic runs or trigger extraction via the API when fresh documents arrive.
7. Review the captured data in the validation screen, then export to CSV, JSON or a live database.

Our Experience with Nanonets

Advantages

• Accuracy that sticks: During trials, the tool picked up invoice totals, dates and line items almost flawlessly, matching the “amazing and reliable” sentiment we read in community feedback.
• Speed at scale: Large batches processed in minutes, echoing claims of improved throughput in the reviews.
• Custom fields made simple: We could reshape the model to new document types without coding, which lines up with comments about “great customization options”.
• Plays nicely with others: Out-of-the-box links to Google Drive, Zapier and popular ERPs meant no messy middle layer, reflecting the “seamless integration capabilities” noted by other testers.
• Grows with demand: The cloud setup handled spikes in volume, supporting the description of a “reliable, scalable solution for intelligent document processing”.

Drawbacks

• Interface learning curve: The dashboard hides some advanced settings behind several clicks; first-time users may spend an afternoon exploring before feeling at home.
• Pricing transparency: Tiers differ by page count, model limit and support level, yet the public site leaves a few details vague until you speak with sales.
• Limited on-prem deployment: Organisations with strict data residency rules might wish for a self-hosted option, which is not currently offered.
• Basic analytics: Extraction statistics exist, but deeper audit reporting or trend charts would help operations teams fine-tune workflows.

Where Nanonets Fits in Our Stack

For day-to-day back-office automation, the service fills the gap between manual data entry and heavyweight optical character recognition suites. Its combination of quick setup, precise extraction and straightforward connections slots neatly into finance, logistics or HR pipelines where incoming paperwork still rules the roost. Teams that value speed and flexibility will appreciate what it brings; however, those needing granular cost forecasts or on-site hosting should weigh their requirements before committing.