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OSS Document Scanner

OSS Document Scanner — Free Download. Mobile document digitization
OSS Document Scanner is an open-source application for Android devices that turns your phone's camera into a portable document scanner. The tool captures document images, automatically detects their edges, and applies perspective transformations to achieve flat, readable results. Processed documents are saved in PDF or JPEG image formats, optimized for sharing and archiving.
★★★★★
5.0(1 ratings)

Download OSS Document Scanner (Official links)
File size: 17.1 MB
The latest version of OSS Document Scanner is: 1.16.0
Operating system: Android, iOS
Languages: English
Developer: Akylas
Price: $0.00 USD

  • Automatic edge detection. The algorithm identifies the document's outlines in the image captured by the camera. This process is triggered in real-time and adjusts a rectangular frame around the document, facilitating alignment before capture. The system's accuracy is maintained under varying lighting conditions.
  • Perspective correction. This function applies a geometric transformation to correct angular distortion in the image. This step is essential when the document is not photographed perpendicularly, as it straightens the content and presents it in a front-on view. The result is a two-dimensional representation of the physical document.
  • Image enhancement filters. Includes processing modes like Black & White, Grayscale, and Color Enhancement. The Black & White filter increases contrast for typed text, while Color Enhancement saturates the image to recover details in documents with chromatic elements. Each filter is applied after capture.
  • Saving in PDF format. Allows exporting one or several scanned pages into a single PDF file. The output format is compatible with standard viewers and document management systems. The PDF's resolution and compression are configurable, balancing quality and file size.
  • Multi-page capture mode. Designed for digitizing multi-page documents sequentially. The interface remains in scan mode after each capture, allowing pages to be added to the same batch. All images are processed and edited together before the final export.
  • Manual edge adjustment. Offers the ability to manually modify the automatically detected corner points. If the algorithm does not correctly identify the document's boundaries, the user can reposition each vertex precisely by dragging on the touch screen.
  • Image quality selection. Configures the output resolution of scans, from qualities optimized for email transmission to high resolution for archiving. This parameter directly affects the level of detail and the resulting file size.
  • Batch processing. Manages collections of captured images to apply bulk editing operations. Available functions include reordering pages, deleting individual items, and uniformly applying filters to the entire set.
  • Preview interface. Displays the scan result after perspective correction and filter application. From this screen, you can rescan the document if the result is unsatisfactory, or proceed to save it. The preview is interactive and allows zooming.
  • Local and cloud storage. Saves digitized documents to the device's internal memory or connected cloud storage services. The application manages write permissions and generates an organized folder structure for easy retrieval.
  • Filename customization. Sets a custom template for the automatic naming of generated files. The template can include variables such as creation date and time, allowing for a consistent organization system without manual intervention.
  • Autofocus mode. Uses the camera's focus system to guarantee maximum sharpness of the captured document. The mechanism prioritizes the area within the edge detection frame, ensuring text and graphics are legible.

The OSS Document Scanner application was created by developer Akylas. Its development began in 2018 as an open-source solution for the Android community. The project was built primarily using the Java programming language, leveraging native Android APIs for image processing and the user interface. The software's evolution has incorporated contributions from other developers through the GitHub platform, where the main repository is hosted.


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