IBM Datacap FastDoc Local

1. Document Capture: FastDoc Local enables users to capture documents from various sources, such as scanners, multifunction devices, email, and network folders.

2. Image Enhancement: The solution includes image enhancement capabilities to improve the quality of scanned documents, such as deskew, despeckle, and background removal.

3. Barcode Recognition: FastDoc Local supports barcode recognition to automatically identify and process documents based on barcoded information, such as document type or index values.

4. Indexing and Data Extraction: Users can define index fields to capture metadata from documents, such as invoice numbers, customer names, or purchase order dates. FastDoc Local also supports basic data extraction capabilities.

Before learning IBM Datacap FastDoc Local, it would be beneficial to have the following skills:

1. Document Management: Understanding the basics of document management, including document types, formats, and metadata, will provide a foundation for learning document capture and processing concepts.

2. Scanning and Imaging: Familiarity with scanning technologies, image formats, and image enhancement techniques will be helpful for working with scanned documents in FastDoc Local.

3. Data Capture and Indexing: Knowledge of data capture methods, including barcode recognition, optical character recognition (OCR), and manual indexing, will aid in understanding how FastDoc Local captures and extracts data from documents.

4. Content Management Systems (CMS): Experience with content management systems or document repositories will facilitate understanding how FastDoc Local integrates with these systems for document storage and retrieval.

By learning IBM Datacap FastDoc Local, you gain several valuable skills related to document capture, processing, and management. Some of these skills include:

1. Document Capture Techniques: You learn various techniques for capturing documents, including scanning, importing, and uploading digital files.

2. Data Extraction and Recognition: You acquire skills in extracting data from documents using advanced techniques such as optical character recognition (OCR), barcode recognition, and data extraction rules.

3. Document Classification and Separation: You learn how to classify documents automatically based on content and separate multi-page documents into individual files.

4. Document Indexing and Metadata Management: You gain skills in indexing documents with relevant metadata and managing metadata for efficient document retrieval.