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This section describes the most common scenarios in which ABBYY FineReader Engine may be used. Each article contains a detailed description of the scenario, implementation advice, and suggestions on optimizing the code for specific tasks. Select the scenario appropriate for your task:
  • Data Extraction Suitable for extracting text, objects, and all useful data from the document and presenting it in a structured format.
  • Document Conversion Suitable for converting documents into an editable format.
  • Document Archiving Suitable for processing paper documents for electronic archives.
  • Text Extraction Suitable for extracting the entire document text, including areas other than the body text.
  • Field-Level Recognition Suitable for recognition of small text fragments to capture data from document fields.
  • Barcode Recognition Suitable for reading barcodes.
  • Business Card Recognition Suitable for converting business cards to electronic format.
  • Machine-Readable Zone Capture Suitable for extracting the data from a machine-readable zone and exporting it to electronic format.
  • Document Classification Suitable for assigning documents to one of the user-defined categories with the help of a pretrained database.
  • Document Comparison Suitable for comparing documents or pages to find mistakes and intentionally made changes.
  • Scanning (Windows) Suitable for getting images from a scanner and their subsequent processing.