DigiParser

Extract data from documents and emails and automate business processes

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DigiParser is a document workflow automation platform that simplifies data extraction from documents like invoices, contracts, forms, resumes, and receipts.
It uses advanced OCR and machine learning to extract, validate, and process data, converting documents into structured formats like JSON and CSVs. Users can create custom parsers for their documents, automate workflows, and integrate the extracted data into tools like Zapier, Quickbooks, Xero, Salesforce, etc.
DigiParser supports team collaboration with flexible billing options, allowing multiple team members to work on different parsers. With features like validation, error detection, automated import and export, and review stages to have human in the loop, it ensures high accuracy in data extraction while saving time and reducing manual work.
DigiParser
2024
India
7 Industries
1 Language
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Screenshot & Video

1/5

LICENSING & DEPLOYMENT

SUPPORT

  • Email
  • Chat
  • 24x7 Support

Training

  • Documentation

DigiParser Core Features

Artificial Intelligence

  • Data Ingestion
  • Image Recognition
  • Natural Language Processing
  • Machine Learning
  • Visual Search
  • Workflow Automation

Workflow Management

  • Business Process Automation
  • Document Management
  • Forms Management
  • Workflow Configuration

Business Process Management

  • Data Management
  • Process Automation
  • Workflow Management
  • AI Features

Data Extraction

  • Data Cleansing
  • Document Extraction
  • Email Address Extraction
  • Image Extraction
  • Unstructured Data Extraction
  • AI Features

Forms Automation

  • Forms Automation
  • Workflow Management
  • AI Features

Robotic Process Automation

  • AI Integration
  • Low-Code Capabilities
  • Process Automation
  • Workflow Design and Management
  • AI Features

DigiParser Pricing

Pricing Type

  • Usage Based

Preferred Currency

  • USD ($)

Free Version

  • No

Payment Frequency

  • Monthly Payment
  • Annual Subscription

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