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Description
Parsie is a sophisticated AI-based document parsing solution that efficiently retrieves essential information from various formats, including PDFs, Word documents, images, and emails, ensuring a high level of precision. This tool is particularly beneficial for handling resumes, invoices, contracts, and reports, as it automates the often tedious manual data entry process, thereby enabling businesses to enhance their workflows and conserve valuable time.
How It Operates
✅ Upload – Just drag and drop your PDFs, Word files, or images into the interface.
✅ AI Extraction – Our advanced AI technology identifies and extracts vital information automatically.
✅ Export & Integrate – You can download the structured data in formats like CSV and JSON, or synchronize it through API, Google Sheets, or Zapier.
Essential Features
🔹 AI-Powered OCR – Accurately reads and extracts text from scanned documents and images.
🔹 Custom Extraction Rules – Specify the exact data you wish to extract, without any programming skills needed.
🔹 Schema Generation – The AI provides recommendations for structured formats based on your extracted data.
🔹 API Access – Automate your parsing needs and seamlessly incorporate it into your existing workflow.
🔹 Batch Processing – Handle multiple documents simultaneously for efficient data extraction.
Additionally, Parsie offers an intuitive user interface that simplifies the entire process, making it accessible even for those with limited technical expertise.
Description
VDE+Images merges the top functionalities of both ImagEntry and VDE data entry software, enabling users to input data from images and physical documents seamlessly within a single software solution. By utilizing VDE+Images, organizations can cut costs while enhancing the accuracy of data entry, regardless of whether the information is derived from images or paper sources. This unified interface allows data entry personnel to operate more efficiently, thereby minimizing training duration and reducing the likelihood of errors. The open architecture of VDE+Images facilitates easy integration with various document imaging systems, making it a versatile choice for many organizations. Additionally, the design of VDE+Images optimizes the data entry workflow, resulting in user performance rates that frequently surpass the average power/precision rate of 11,600 keystrokes per hour. Users can also group images into sets, which aids in identifying images within multi-page documents or marking the start and end of file folders. With such capabilities, VDE+Images not only enhances productivity but also supports better organization and management of data entry tasks.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$12
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Parsie
Founded
2025
Country
United States
Website
parsie.pro
Vendor Details
Company Name
Viking Software Solutions
Founded
2000
Country
United States
Website
www.vikingsoft.com
Product Features
Resume Parsing
Automated Application Input
Automatic Updating
Customizable Macros
Data Extraction
Multi-Language
Resume Import
Resume Management
Semantic Matching
Social Media Corroboration
Sort / Filter
White Label Option
Product Features
Data Entry
Abbreviation Detection
Data Capture and Transfer
Data Cleansing
Data Entry Verification
Data Search Flexibility
Duplicate Detection
Flexible Search
Image Entry
Library Conversion
Mis-Keyed Variation Detection
Phonetic Variation Detection