Readiris

Readiris provides tools for processing digital documents. OCR technology identifies text in more than 130 languages including Spanish, English, French, and German. The program maintains the original format during conversion and generates editable files in Word, Excel, or searchable PDF. The application includes functions to compress PDF files, reducing their size without visible quality loss. It is possible to combine multiple documents into a single organized PDF file. The PDF creation module allows generating documents from different sources and applications.

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• Multilingual OCR Recognition. The OCR engine identifies text in more than 130 languages and dialects, including language combinations within the same document. The technology processes documents with complex fonts and variable font sizes, preserving the original structure of tables, columns, and layout during conversion to editable formats.
• PDF Creation. Generates PDF files from various sources including Office documents, images, and text files. Configures document properties such as metadata, compression level, and compatibility standards. Sets viewing, printing, and modification permissions using differentiated security passwords.
• PDF Compression. Reduces the size of PDF files using compression algorithms that analyze and optimize images, fonts, and graphic elements. Selects specific compression levels for different content types, maintaining the visual quality required for text documents or high-resolution images.
• Document Combination. Merges multiple files from different formats into a single PDF document with an organized structure. Reorders pages via drag-and-drop interface, inserts separators and covers, applies consistent numbering in combined documents. Maintains hyperlinks and bookmarks during the merging process.
• Document Protection. Applies security using 256-bit AES encryption, setting opening passwords and permission restrictions. Configures differentiated permissions for printing, modification, content copying, and annotations. Includes visible watermark options for confidential documents.
• Batch Processing. Automates the conversion of multiple documents by configuring processing profiles. Establishes sequences of OCR, compression, and conversion operations applicable to entire folders. Monitors progress via an interface showing statistics of processed documents and errors.
• Direct Scanning. Captures documents from scanners compatible with TWAIN and WIA standards. Configures resolution parameters, color format, and save destination for each device. Previews scanned images before OCR processing and automatically applies basic corrections.
• Image Correction. Improves the quality of scanned documents through tilt, perspective, and orientation adjustments. Applies background fading filters, spot removal, and contrast enhancement to optimize text recognition. Automatically corrects common distortions in folded or wrinkled documents.
• Audio Export. Converts document text to audio files in MP3, WAV, or M4A formats. Selects synthetic voices in different languages and adjusts speed, pitch, and volume parameters. Automatically splits long documents into chapters based on heading structure.
• Cloud Integration. Saves processed documents directly to cloud storage services like Google Drive, Dropbox, and OneDrive. Establishes secure connections via OAuth protocols and manages access permissions from the application interface. Synchronizes local folders with cloud directories for automated workflows.

The first version of Readiris was developed by the Belgian company I.R.I.S. Group in 1990. The original software used optical character recognition technology developed internally. The initial implementation was done in C++ language for Windows systems, with subsequent compatibility for Mac OS platforms. I.R.I.S. Group specialized in digital imaging and document recognition technologies. The company maintained continuous product development, incorporating improvements in the OCR engine and expansion of supported formats. Later versions integrated support for PDF processing based on proprietary libraries. In 2015, I.R.I.S. Group was reorganized as IRISLink, focusing on document productivity software solutions. The development team maintained the C++ codebase with .NET components for user interfaces. The OCR engine architecture evolved by implementing machine learning algorithms to improve accuracy on complex documents.

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