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What is DocDigitizer?

Experience impeccable data capture with an automated system that ensures complete accuracy using only two lines of code. DocDigitizer offers remarkable benefits for partners, including Integrators, RPAs, ERPs, KYC/AML, and a range of Digital Transformation efforts. There are no requirements for upfront setup, infrastructure, licensing fees, or complex implementations, making it accessible for all. Its adaptable payment structure, which is based on the volume of documents processed, allows users to initiate their journey on a smaller scale with no minimum thresholds and to easily modify their usage as needed. Not limited to basic OCR and data extraction, DocDigitizer also validates the data, guaranteeing its dependability. This cutting-edge solution utilizes cognitive data capture for any text-based content, delivering a user-friendly plug-and-play experience with assured precision. By combining our distinctive cognitive data capture capabilities with an expertly designed human-in-the-loop approach, we achieve the speed and scalability of machine automation while ensuring that human oversight enhances quality. Our offering is distinguished by its high accuracy and cost-efficiency, surpassing traditional OCR systems that often fail to match this level of effectiveness. In conclusion, DocDigitizer transforms the landscape of data capture by fusing sophisticated technology with human insight, thereby establishing a new benchmark in the industry that is both innovative and reliable.

What is Affect-Tag RX?

Assessing emotions can yield critical insights for objective evaluations. By integrating cognitive data into your consumer and user research, you can make decisions that are based on genuine emotional reactions. The Affect-tag RX solution provides reliable and insightful emotional metrics through a secure web service and a customized dashboard. These metrics are obtained from physiological information collected via the Affect-tag RX mobile application and its unique smartband. This tool is designed for efficient data collection, fitting effortlessly into a variety of research methodologies. Participants can fully engage in their experiences without any potential biases interfering with the outcomes. Furthermore, our unique algorithms analyze physiological data in just a few minutes, granting researchers quick access to impactful insights. This rapid processing empowers researchers to respond promptly to the emotional data gathered, thereby enriching the overall research process and fostering a deeper understanding of consumer behavior. Ultimately, leveraging such technology not only streamlines research but also enhances the quality of insights derived from emotional analyses.

Media

Media

Integrations Supported

Adobe Acrobat
BizAPIs
Infosistema DMM
Microsoft Dynamics 365 Business Central
Odoo
SAP ERP
UiPath
Zapier

Integrations Supported

Adobe Acrobat
BizAPIs
Infosistema DMM
Microsoft Dynamics 365 Business Central
Odoo
SAP ERP
UiPath
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

$ 165.6 per month
Free Trial Offered?
Free Version

Pricing Information

$1500 per month
Free Trial Offered?
Free Version

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

DocDigitizer

Date Founded

2017

Company Location

Portugal

Company Website

www.docdigitizer.com

Company Facts

Organization Name

Neotrope

Date Founded

2007

Company Location

France

Company Website

affect-tag.com

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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