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About

Forget about manual content classification and data entry. Doculayer.ai offers a configurable pipeline with document processing services like OCR, document type classification, topic classification, data extraction and data masking. Doculayer.ai puts business users in the driver's seat by making training/learning easy via an intuitive user interface for labeling of documents and data. With our hybrid data extraction approach machine learning models can be combined with rules, patterns and library scripts to obtain better results with less training data in less time. For the protection of sensitive data within documents, data masking can be anonymized or pseudonymized. Doculayer.ai adds document intelligence to your Content Services Platform, Business Process Management systems, and RPA solutions. Supercharge your existing IT environment for document processing with machine learning, natural language processing, and computer vision technologies.

About

Libelle DataMasking (LDM) is a robust, enterprise-grade data masking solution that automates the anonymization of sensitive or personal data—such as names, addresses, dates, emails, IBANs, credit cards—and transforms them into realistic, logically consistent substitutes that maintain referential integrity across SAP and non‑SAP systems, including Oracle, SQL Server, IBM DB2, MySQL, PostgreSQL, SAP HANA, flat files, and cloud databases. Capable of processing up to 200,000 entries per second and supporting parallelized masking for massive datasets, LDM uses a multithreaded architecture to efficiently read, anonymize, and write data back with high performance. It features over 40 built‑in anonymization algorithms—such as number, alphanumeric, date shifting, name, email, IBAN masking, credit card obfuscation, and mapping algorithms—as well as templates for SAP modules (CRM, ERP, FI/CO, HCM, SD, SRM).

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies searching for a solution to turn unstructured documents into structured data

Audience

IT teams in need of a solution to anonymize large-scale sensitive datasets for secure, realistic non‑production use

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Doculayer
Founded: 2007
Netherlands
www.doculayer.com/doculayer-platform

Company Information

Libelle
Founded: 1994
Germany
www.libelle.com/products/datamasking/

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ClassiGenius

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Categories

Categories

Integrations

Amazon Web Services (AWS)
Google Sheets
IBM Db2
JSON
MariaDB
Microsoft Azure
Microsoft Excel
MySQL
Oracle Database
PostgreSQL
SAP Adaptive Server Enterprise (ASE)
SAP CRM
SAP Cloud Platform
SAP ERP
SAP HANA
SAP HANA Cloud
SAP MaxDB
SAP S/4HANA Finance
SQL Server
XML

Integrations

Amazon Web Services (AWS)
Google Sheets
IBM Db2
JSON
MariaDB
Microsoft Azure
Microsoft Excel
MySQL
Oracle Database
PostgreSQL
SAP Adaptive Server Enterprise (ASE)
SAP CRM
SAP Cloud Platform
SAP ERP
SAP HANA
SAP HANA Cloud
SAP MaxDB
SAP S/4HANA Finance
SQL Server
XML
Claim Doculayer and update features and information
Claim Doculayer and update features and information
Claim Libelle DataMasking and update features and information
Claim Libelle DataMasking and update features and information