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Description
Parserdata is an innovative platform that leverages AI to automate financial data extraction, significantly reducing the need for time-consuming manual data entry by effectively pulling structured information from various unstructured financial documents such as invoices, receipts, transaction reports, bank statements, and balance sheets, all without the need for templates or manual intervention. Utilizing advanced machine learning algorithms and scanning technologies, it accurately identifies and extracts critical fields like vendor information, monetary amounts, dates, and totals, providing users with organized data that is primed for analysis or seamless integration into accounting software. This automation leads to a substantial decrease in errors and minimizes the time spent on repetitive tasks such as copying and reformatting data. Furthermore, Parserdata emphasizes strong data security and regulatory compliance through encryption measures and is designed to accommodate increasing document volumes, enabling teams to enhance their workflows within accounts payable and reporting functions. As a result, organizations can achieve greater efficiency and accuracy in their financial operations.
Description
Effortlessly extract vital information from supply chain documents and correspondence without code, allowing data synchronization with any IT infrastructure. This includes business communications that feature forecasts, orders, and delivery confirmations. Spreadsheets can effectively capture all the nuances of your workflow, but a cohesive structure is essential for growth. It is important to establish and uphold consistent data entry standards across various departments. Our AI technology can automatically extract data from emails that include attachments and fill spreadsheets. Since each customer operates differently, adhering to your established protocol may prove difficult. Nonetheless, AI can seamlessly adjust to these variations on your behalf. For instance, you can provide a sample document to create a straightforward template in Excel and ensure the accuracy of the results. By directing emails to a designated and secure email address, templates can be populated with data extracted from incoming messages. Additionally, data can be synchronized with enterprise software, enabling the effective use of structured information throughout your organization while enhancing efficiency and productivity. Implementing such a system not only streamlines operations but also fosters better collaboration among departments.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Google Sheets
Yes
Microsoft Excel
Yes
Acumatica Cloud ERP
No
HubSpot CRM
No
HubSpot Customer Platform
No
IBM Cloud
No
Infor CRM
No
JSON
Yes
Katana
No
Kinaxis Maestro
No
Integrations
Google Sheets
Yes
Microsoft Excel
Yes
Acumatica Cloud ERP
Yes
HubSpot CRM
Yes
HubSpot Customer Platform
Yes
IBM Cloud
Yes
Infor CRM
Yes
JSON
No
Katana
Yes
Kinaxis Maestro
Yes
Pricing Details
$25 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Parserdata
Founded
2025
Country
United States
Website
parserdata.com
Vendor Details
Company Name
extrakt.AI
Country
United States
Website
www.extrakt.ai/
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
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
