Parse2ERPGentle Reminder
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Related Products
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About
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 JSON or CSV formats. Users can create custom parsers for their documents, automate workflows, and integrate the extracted data into tools like Zapier, QuickBooks, Xero, Salesforce, Google Sheets, etc.
DigiParser supports team collaboration with flexible billing options, allowing multiple team members to work on different parsers. With features like schema customization, review stages, and workflow automation, it ensures high accuracy in data extraction while saving time and reducing manual work.
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About
Parse2ERP is document-data extraction software for teams handling PDF invoices, purchase orders, and statements. It reads documents, extracts selected information, and prepares the resulting data for use in business workflows. Users can export extracted information to Excel or create import-ready files for downstream systems. The product is intended for operations, finance, and manufacturing teams that need to move information from business documents into structured records. Parse2ERP is part of Gentle Reminder's workflow automation product offering. Its described use cases focus on turning information contained in common business PDFs into data that teams can review and use in their processes, rather than manually re-entering each field.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
SMBs, enterprise organizations, finance and accounting firms, legal and compliance departments, workflow automation enthusiasts.
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Audience
Operations, finance and manufacturing teams that process PDF invoices, purchase orders and statements
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$29/month
DigiParser offers a transparent and flexible pricing options based on your document processing needs, starts at just $29 per month.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDigiParser
Founded: 2024
India
www.digiparser.com
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Company InformationGentle Reminder
Founded: 2019
India
gentlereminder.in/
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Alternatives |
AlternativesNo Alternatives
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Categories |
Categories |
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Data Extraction Features
Disparate Data Collection
Supported
Document Extraction
Supported
Email Address Extraction
Supported
Image Extraction
Supported
IP Address Extraction
Supported
Phone Number Extraction
Supported
Pricing Extraction
Supported
Web Data Extraction
Supported
OCR Features
Batch Processing
Supported
Convert to PDF
Supported
ID Scanning
Supported
Image Pre-processing
Supported
Indexing
Supported
Metadata Extraction
Supported
Multi-Language
Supported
Multiple Output Formats
Supported
Text Editor
Supported
Zone Selection Tool
Supported
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Integrations
Axis LMS
Supported
Google Sheets
Supported
QuickBooks Online
Supported
Salesforce
Supported
Xero
Supported
Zapier
Supported
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Integrations
Axis LMS
Not Supported
Google Sheets
Not Supported
QuickBooks Online
Not Supported
Salesforce
Not Supported
Xero
Not Supported
Zapier
Not Supported
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