Scannern

Scannern is a modular scanning and recognition platform designed to convert physical media into searchable digital formats. It combines high-resolution image capture with text recognition and metadata extraction to reproduce documents, photographs, and surface scans with fidelity. The system is intended for both standalone devices and integrated workflows within organizations that manage large volumes of paper, photos, or architectural surfaces.

Core components include a capture unit with optical sensors, an image processing pipeline to correct skew, crop, denoise, and color-balance, and an OCR engine that produces searchable text and structured layouts. Scannern also supports automatic zoning of pages, barcode or QR code detection, and metadata tagging such as date, author, and source. Exports include searchable PDFs, TIFFs, JPEGs, and archival formats such as PDF/A, along with structured metadata in XML or JSON.

Architecturally, Scannern can operate as a local device, a client-server system, or a cloud-based service. It offers modular plugins for document types, including books, documents, postcards, and 3D surface scans. Variants include Scannern Core for processing, Scannern Studio for workflow management, and Scannern Cloud for centralized storage and collaboration. Security features typically cover encryption, access control, and audit trails.

Applications span libraries and archives that require long-term preservation, offices for digitization campaigns, and research institutions performing large-scale data capture. The platform emphasizes interoperability through open file formats and metadata schemas, and compatibility with standard OCR engines and image formats to support long-term accessibility.