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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

DigiParser automates document workflows and extracts data from documents such as invoices, contracts forms, resumes and receipts. It uses advanced OCR, machine learning, and data extraction to extract, validate, process, and convert documents into structured CSV or JSON formats. Users can create custom parsers, automate workflows and integrate the extracted information into tools such as Zapier, QuickBooks Xero Salesforce, Google Sheets etc. DigiParser allows for team collaboration through flexible billing options. This allows multiple team members to be able to work on different Parsers. Its features, such as schema customization, review phases, and workflow automation ensure high accuracy in data extract while saving time and reducing the manual work.

Description

ParseRail is an innovative document AI API that transforms physical documents into well-structured, schema-compliant JSON. By submitting various types of documents such as invoices, receipts, bank statements, or contracts, users can receive organized data fields that seamlessly integrate into their applications or workflows. In addition to document extraction, ParseRail provides a variety of specialized AI functionality endpoints, all accessible through a single credit wallet and API key. Developers have multiple options for integration, including a REST API, SDKs available on npm and PyPI, or through an MCP server. For those preferring no-code solutions, integrations with Zapier and an n8n community node facilitate automation efforts. Moreover, the self-service signup process includes a complimentary monthly credit allowance, enabling teams to evaluate extraction quality before committing to a payment. This user-friendly approach ensures that businesses can confidently incorporate ParseRail's capabilities into their operations.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Axis LMS Yes 
Google Sheets Yes 
Model Context Protocol (MCP) No 
QuickBooks Online Yes 
Salesforce Yes 
Xero Yes 
Zapier Yes 

Integrations

Axis LMS No 
Google Sheets No 
Model Context Protocol (MCP) Yes 
QuickBooks Online No 
Salesforce No 
Xero No 
Zapier No 

Pricing Details

$29/month
DigiParser offers a transparent and flexible pricing options based on your document processing needs, starts at just $29 per month.
Free Trial Yes 
Free Version No 

Pricing Details

Free (500 credits/month)
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DigiParser

Founded

2024

Country

India

Website

www.digiparser.com

Vendor Details

Company Name

Kynth Studios

Founded

2026

Country

United States

Website

kynth.studio

Product Features

Data Extraction

Disparate Data Collection Yes 
Document Extraction Yes 
Email Address Extraction Yes 
IP Address Extraction Yes 
Image Extraction Yes 
Phone Number Extraction Yes 
Pricing Extraction Yes 
Web Data Extraction Yes 

OCR

Batch Processing Yes 
Convert to PDF Yes 
ID Scanning Yes 
Image Pre-processing Yes 
Indexing Yes 
Metadata Extraction Yes 
Multi-Language Yes 
Multiple Output Formats Yes 
Text Editor Yes 
Zone Selection Tool Yes 

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

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