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What is DigiParser?

DigiParser streamlines document management by automating workflows and extracting essential data from various documents, including invoices, contracts, resumes, and receipts. By leveraging cutting-edge OCR technology, machine learning, and data extraction techniques, it efficiently extracts, validates, processes, and reformats documents into organized CSV or JSON files. Users have the capability to design personalized parsers, automate their workflows, and seamlessly integrate the extracted data with platforms like Zapier, QuickBooks, Xero, Salesforce, and Google Sheets. Additionally, DigiParser fosters collaboration among team members through adaptable billing options, allowing different users to work concurrently on multiple parsers. Its robust features, such as customizable schemas, review phases, and automated workflows, not only enhance the precision of data extraction but also significantly minimize manual labor and save valuable time. With DigiParser, teams can enhance their productivity and accuracy in handling document-based tasks.

What is A-Parser?

A-Parser is a sophisticated self-managed system built for efficient web scraping and data collection, specifically aimed at SEO professionals, marketers, software developers, data engineers, and e-commerce teams. The platform includes over 110 ready-made parsers that accommodate a wide range of online platforms, such as search engines, Google Maps, YouTube, SEO analytics tools, keyword research platforms, and domain services, among others. Furthermore, it empowers users to develop personalized scrapers using languages like RegEx, XPath, JavaScript, and TypeScript, while also enabling automated browser-based data extraction via Chromium and Puppeteer. Users can effectively manage and rotate proxies, and they can perform both nested and sequential scraping operations seamlessly. A-Parser is compatible with Windows and Linux systems, and it can also be utilized on macOS through Docker, featuring a web-based user interface alongside an HTTP/JSON API tailored for enterprise users. This extensive range of capabilities positions A-Parser as an essential resource for those seeking to gather and interpret data from the internet with maximum efficiency. With its robust features and user-friendly interface, it caters to both novice and expert users alike, enhancing the data collection experience.

Media

Media

No images available

Integrations Supported

Axis LMS
Google Sheets
QuickBooks Online
Salesforce
Xero
Zapier

Integrations Supported

Axis LMS
Google Sheets
QuickBooks Online
Salesforce
Xero
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

$29/month
DigiParser offers a transparent and flexible pricing options based on your document processing needs, starts at just $29 per month.
Free Version
Free Trial Offered?

Pricing Information

$179/lifetime
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DigiParser

Date Founded

2024

Company Location

India

Company Website

www.digiparser.com

Company Facts

Organization Name

A-Parser

Date Founded

2012

Company Location

United Kingdom

Company Website

a-parser.com/en/

Categories and Features

Data Extraction

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

OCR

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

Categories and Features

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