Nanonets
Automate receipt capture, review, and export from multiple sources
Nanonets uses OCR to extract data from receipts and digitize receipt-processing workflows. It’s built for teams that need structured data from scans, PDFs, and images without relying on manual entry or fixed templates.
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About
Nanonets Receipt OCR is a cloud-based document processing tool focused on extracting structured data from receipts and related expense documents. It’s aimed at businesses and operations teams that handle high volumes of receipts or invoices and want to move that data into downstream systems with less manual work.
According to the product page, you can start by uploading documents from email, API, desktop tools, Drive, Dropbox, RPA, or cloud storage. The platform then extracts data, lets you review the output, and exports the structured results into systems like CRMs, WMS tools, databases, or file formats such as XLS, CSV, and XML.
The strongest part of the product is the workflow around ingestion, extraction, review, and export. It appears to be more than a simple OCR scanner: Nanonets says it can use decision engines to flag files, validate them, and enrich missing data before export. It also claims support for receipts from multiple countries and says its extractors do not rely on predefined templates.
Some details remain unclear from the page, including public pricing, the exact model/provider behind the OCR, and privacy or retention terms. The product looks best suited to business teams that need document automation rather than individuals who just want to scan a few receipts. If you need a fully local, open-source, or offline tool, this does not appear to be that kind of product.
Executes tasks you assign, one step at a time, within narrow domains.
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