Nanonets uses advanced OCR and Deep Learning Capture  data  from  documents text images emails

Advanced OCR and Deep Learning are used by Nanonets to extract pertinent data from unstructured text and documents.

Nanonets: What is it?

With the use of deep learning, the optical character recognition (OCR) platform Nanonets OCR may assist organisations in digitising receipts, PDFs, and other documents. It enables managers to transform meal menus into structured data on a single platform, complete with names and pricing.

Organizations may scan invoices and upload the information retrieved to the system using Nanonets OCR. By adding new categories of text for detection, uploading and annotating photos for each group, and training developed models, organisations may speed up the OCR process. In order to track user postings, managers may also log odometer readings from automobiles and automate the process of creating tags for photographs on social networking platforms.

Various documents, including bills, ID cards, tax returns, income statements, and more, are supported by Nanonets OCR.

Nanonets features

Access Controls/Permissions
Approval Process Control
Batch Processing
Collaboration Tools
Data Capture and Transfer
Data Extraction
Data Import/Export
Data Verification
Document Automation
Document Conversion
Document Imaging
Document Management
Document Review
Document Storage
Document Templates
Drag & Drop
Email Address Extraction
File Transfer
ID Scanning
Image Pre-processing
Invoice Management
Invoice Processing
Metadata Extraction
Multiple Data Sources
Multiple Format Support
Multiple Output Formats
Offline Access
Process Control
Role-Based Permissions
Secure Data Storage
Text Editing
Text Extraction
Third Party Integrations
Workflow Management
Zone Selection Tool