SimpleOCR

SimpleOCR is an optical character recognition application that converts scanned documents and images into editable text. The software processes graphic files and extracts textual information for further processing.

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• Text recognition in images. The function identifies characters in raster image files. The algorithm analyzes pixels and compares patterns with a font database. Accuracy is maintained in documents with standard scan quality.
• Batch processing. The system handles multiple files simultaneously. Users select entire folders for automatic conversion. Settings are applied uniformly to all documents in the batch.
• Integrated spell checking. The module verifies linguistic errors in the recognized text. The dictionary contains grammatical rules for the selected language. Replacement suggestions appear in a separate interface.
• Export to office formats. Results are saved in Word, Excel, and PDF documents. The original document structure is preserved during conversion. Tables and basic formats are transferred to the output file.
• Support for TWAIN scanners. Direct connection with capture devices accelerates the workflow. Scanning parameters are configured from the main interface. Resolution and image format are optimized for recognition.
• Table recognition. The function detects tabular structures in scanned documents. Cells are identified through line and space analysis. Data is exported while maintaining row-column relationships.
• Color document processing. The algorithm works with RGB and grayscale images. Automatic contrast improves text readability. Complex backgrounds are filtered before analysis.
• Document layout understanding. The system distinguishes between columns, headers, and footers. The logical arrangement of content is reconstructed in the output. Page breaks and margins are interpreted correctly.
• Handwritten character recognition. The technology identifies structured handwriting. Irregular strokes are normalized using mathematical filters. This function requires prior training with handwriting samples.
• Integration with external applications. Automation is performed via a command-line interface. Scripts control processing parameters and file paths. Compatibility includes document management systems.
• Recognition zone selection. Users define specific areas for OCR analysis. Non-textual regions are excluded from processing. Coordinates are saved in reusable templates.
• Multilingual support. The engine recognizes texts in Spanish, English, French, and German. Languages are detected automatically or selected manually. Special characters and diacritics are processed correctly.

SimpleOCR was developed by the company SimpleSoftware. The project began in 2003 as a document recognition solution. The first commercial version was released in 2005. The developers used the C++ language for the recognition core. The graphical interface libraries were implemented in C#. The team has maintained regular updates since its founding year. The software architecture evolved with improvements in machine learning algorithms.

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