IBM Datacap Features

Supports Microsoft Windows operating system This feature was mentioned in 13 IBM Datacap reviews.

Supports macOS operating system

Supports Linux operating system

Based on 14 IBM Datacap reviews. Supports a variety of file types (E.g. DOC, XLS, PPT, PDF, JPG, PS, TIFF, etc.)

Processes data from unstructured and semistructured data sources This feature was mentioned in 14 IBM Datacap reviews.

As reported in 11 IBM Datacap reviews. Allows for mobile upload of documents and images

Provides AI and machine learning tools to accelerate data analysis 12 reviewers of IBM Datacap have provided feedback on this feature.

Provides image enhancement before processing (E.g. rotation, image cropping, removing noise, enhancing contrast, etc.) 13 reviewers of IBM Datacap have provided feedback on this feature.

Integrates with other applications to support document storage, document management, process automation and/or workflow management 13 reviewers of IBM Datacap have provided feedback on this feature.

As reported in 13 IBM Datacap reviews. Supports the conversion of uploaded documents to other file types

Supports operations on both Windows and Mac This feature was mentioned in 10 IBM Datacap reviews.

Allows the user to process documents in various formats such as PDF, DOCX, and JPEG.

Gives user the ability to convert different types of documents into machine-readable text using Optical Character Recognition (OCR).

Enables the user to identify and extract specific entities like names, dates, and addresses from documents.

Gives user the ability to categorize sections of text within the document based on preset criteria.

Provides the user with the capability to validate the extracted data for accuracy.

Enables the user to process multiple documents in a single batch operation.

Gives user the ability to connect to automation technology, such as robotic process automation (RPA).

Enables users to search through the content of processed documents easily.

Allows the user to track changes and manage different versions of a document.

Gives user the ability to train custom machine learning models for specific data extraction tasks.

Provides the user with the ability to analyze the sentiment expressed in the textual content of the document.

Allows the system to understand the context of words and phrases for better data extraction and classification.

Provides the user with the ability to integrate the IDP system into other applications through APIs.

Assures the user that the system complies with industry regulations like GDPR.

Ensures that all data processed is encrypted for security.

Capability to perform complex tasks without constant human input