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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Lios (Linux-Intelligent-OCR-Solution) is a free, open-source desktop program for turning printed pages and document images into editable text on Linux. Its project documentation describes input from scanners, cameras, PDFs, images, image folders, and screenshots, alongside tools for reading and exporting recognized text. Features and dependencies can vary by package and version, so check the documentation for your distribution before installing.
What Lios does
Lios combines document capture and optical character recognition (OCR). It can send a scanned page or an existing image-based document through an OCR engine and display the recognized text beside the source image. The project says it was designed with accessibility for visually impaired users in mind and describes the software as written in Python 3 and licensed under GPL-3. Project README
Unlike a general-purpose PDF viewer, Lios is intended to help convert printed material into text that can be edited or read with assistive features. Recognition quality depends in part on the quality of the source paper or scan; the user guide does not provide a guaranteed accuracy rate. Lios user guide
Inputs and documented features
The project README lists several ways to provide material and work with the resulting text:
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| Area | Documented options |
|---|---|
| Input | Scanner, webcam, PDF, image, folder of images, or screenshot |
| Recognition | Tesseract and Cuneiform are named in the README; engine and language are selected before recognition |
| Page handling | Automatic rotation, document navigation, scanner brightness controls, and OCR of a selected rectangular region |
| Text and output | Side-by-side source and recognized text, text cleanup and match-replace dialog, spell-checking, audio conversion, and PDF export |
| Reading support | A highlighted text reader with user-selected appearance |
These are features stated in project documentation, not results from independent tests of every current build. Engine availability may differ: the project website also names GOCR and ABBYY FineReader, while the README and Debian package information identify Tesseract and Cuneiform. Confirm which engines your installed version supports rather than assuming the lists are interchangeable. README · Project website · Debian Sources package metadata
How a typical OCR workflow works
- Provide a page. Scan or capture it with supported hardware, or open an existing PDF, image, image folder, or screenshot.
- Choose recognition settings. Select an available OCR engine and language, then choose where recognized text should be inserted, as described in the user guide.
- Recognize and review. Run OCR and compare the text with the source image. Correct errors before relying on the result, especially if the original is faint, skewed, or otherwise difficult to read.
- Use or export the text. Apply cleanup or spell-checking as needed, use the documented reading or audio features, or export as PDF.
The exact controls may differ by release and packaging; follow the guide corresponding to your installed version. Lios user guide
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Accessibility features and their scope
Lios documents a highlighted reader and audio conversion, with controls to change the reader’s appearance. The guide describes an automatic operation for visually impaired users, but says that workflow is available only for English in the documented version because it depends on Lios’s spellchecker. Treat that as a version-specific guide limitation and verify behavior in the release you use. Lios user guide
Linux installation and version details
Lios has Linux-specific system dependencies. The project lists Python 3, SANE-related scanner bindings, OCR engines, image/PDF utilities, speech support, and spell-checking components among its requirements. Debian packaging lists Python, SANE, Tesseract, Cuneiform, ImageMagick, and Poppler utilities. Those lists are not a universal install recipe: names, package availability, and dependencies vary by distribution and release. Consult your distribution’s package information and the Lios documentation for your system. Project README · Debian Sources package metadata
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Version references need care. Debian Sources identifies the source package path as lios/2.7.2-8, where 2.7.2-8 is the Debian package revision; the spec file identifies the application version as 2.7.1. These are different version labels, not proof that either is the latest release. Debian’s experimental manpage documents the command form lios [-h] [-s] [-v] [files ...], including -s / --ocr-screenshot. Its source metadata was last updated on 2023-04-03, which describes the manpage history rather than the current application release. Debian Sources · Debian experimental manpage
Who should consider Lios
Lios may suit Linux users who want a desktop OCR workflow that brings scanning or image input, editable text, and documented reading features together. It is especially relevant if you need to process scanned pages rather than text already embedded in a digital document. Before depending on it, check that your distribution provides a compatible package, that the needed OCR engine and language are available, and that its workflow meets your accessibility needs.
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If you need a scanner, look for a Linux- and SANE-compatible document scanner and verify support for the exact model in your distribution’s SANE device information before buying. The cited documentation does not test or certify individual scanner models. Project README
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What is not established
The available project documentation does not establish a numerical OCR accuracy benchmark, independent usability evaluation, or a current compatibility matrix across Linux distributions. Results depend on source quality, and package-specific support should be checked against the release you plan to use. That makes a trial with representative pages more useful than assuming a published accuracy figure that the documentation does not provide.
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