Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Achieve flawless data capture through an automated platform that guarantees 100% accuracy with just two lines of code. DocDigitizer presents unprecedented advantages for partners including Integrators, RPAs, ERPs, KYC/AML, and various Digital Transformation initiatives. There’s no need for any upfront setup, infrastructure, licensing fees, or complicated implementations. With a flexible payment model based on documents processed, you can start on a small scale without minimum requirements and easily adjust your usage as needed. Beyond mere OCR and data capture, DocDigitizer not only extracts data but also validates it, ensuring reliability. This innovative solution harnesses cognitive data capture for any readable content, offering a seamless plug-and-play experience with guaranteed accuracy. By merging our unique cognitive data capture technology with a well-crafted human-in-the-loop procedure, we provide the quickness and scalability of machine automation while retaining the quality that only human oversight can offer. Our solution stands out in terms of both precision and cost-effectiveness, outshining conventional OCR systems that struggle to deliver the same level of performance. Ultimately, DocDigitizer redefines data capture by integrating advanced technology with human expertise, setting a new standard in the industry.
Description
By effortlessly handling diverse invoice formats from various channels and seamlessly integrating with your ERP system, Neil automates the entire AP process. This empowers your team to focus on strategic initiatives while Neil ensures accurate and timely invoice processing with an impressive 85%+ accuracy rate.
Going beyond conventional RPA and OCR limitations, Neil leverages advanced AI and machine learning to extract critical data, optimize workflows, and maintain open communication with vendors. Result? 90% straight-through processing (STP), significantly reduced human error, strengthened vendor satisfaction, and overall optimized cash flow with better visibility and vendor discounts with timely payments.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Adobe Acrobat
Yes
BizAPIs
Yes
Facebook
No
Gmail
No
Infosistema DMM
Yes
Invoice Tally
No
Microsoft Dynamics 365 Business Central
Yes
Microsoft SharePoint
No
Microsoft Teams
No
NetSuite
No
Integrations
Adobe Acrobat
No
BizAPIs
No
Facebook
Yes
Gmail
Yes
Infosistema DMM
No
Invoice Tally
Yes
Microsoft Dynamics 365 Business Central
No
Microsoft SharePoint
Yes
Microsoft Teams
Yes
NetSuite
Yes
Pricing Details
$ 165.6 per month
Billed annually
Free Trial
No
Free Version
Yes
Pricing Details
$0
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
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
DocDigitizer
Founded
2017
Country
Portugal
Website
www.docdigitizer.com
Vendor Details
Company Name
E42
Founded
2012
Country
India
Website
e42.ai/
Product Features
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No