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ease
features
design
support

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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Lang revolutionizes support interactions by auto-tagging them with personalized data categories, leading to a reduction in average resolution time by over 60%. By leveraging your customer support data, you can create a more efficient and intelligent customer experience (CX) team. Enhanced categorization of support interactions allows for the automation of various manual tasks such as ticket routing, triage, and prioritization, which significantly shortens the time it takes to resolve issues. Every organization holds a wealth of customer interaction data, and Lang empowers you to establish tailored CX categories to gather and organize this data more effectively than ever before. With the ability to easily generate actionable insights from your data, you can enhance customer retention and identify potential revenue streams. Utilizing your own unique data language, Lang assists in the automatic tagging and categorization of customer interactions, revealing new patterns within your data. Moreover, you can effortlessly set up automation based on these insights, integrating seamlessly with essential CX systems. By enabling real-time auto-tagging and categorization of incoming support tickets, you can ensure a swift and organized response to customer inquiries. This approach not only streamlines processes but also enhances overall customer satisfaction.

Description

The PDFix SDK empowers users to automatically enhance the accessibility of existing PDF documents. It facilitates the conversion of standard PDFs into high-quality, accessible PDF/UA formats. With its auto-tagging capability, the SDK identifies crucial document elements such as text, images, tables, headers and footers, headings, lists, and reading order. By enabling automated batch processing, it not only saves valuable time but also significantly lowers remediation expenses. If you've ever attempted to extract information from multiple PDF files, you certainly understand the challenges involved. Utilizing advanced machine learning techniques, the SDK has developed an algorithm that enables seamless and structured data extraction. As a result, users can easily identify various logical components, including text, headings, images, tables, headers and footers, and lists. Furthermore, it allows for scraping data from PDFs and converting it into your preferred formats, such as HTML, CSV, JSON, or XML, making the process much more efficient and user-friendly. This functionality is particularly beneficial for organizations aiming to improve their document accessibility and streamline data management.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Dixa
Flip
Intercom
Salesforce
Zendesk

Integrations

Dixa
Flip
Intercom
Salesforce
Zendesk

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$490 per year
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

Lang.ai

Country

Spain

Website

www.lang.ai/

Vendor Details

Company Name

PDFix

Country

Slovakia

Website

pdfix.net

Product Features

Customer Feedback

Alerts / Notifications
Behavior Analytics
Bug Reports
Community Feedback Tools
Live Chat
Negative Feedback Management
Net Promoter Score (NPS)
Screenshot / Screen Capture
Surveys
User Testing Tools
Video Feedback
Visual Feedback Tools
Voice of the Customer (VoC)
Website Feedback

Product Features

PDF

Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking

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