Free Offline OCR Software: Features and Applications

Offline OCR Software

Offline OCR (Optical Character Recognition) software is a computer program that can convert text from scanned documents or images into editable and searchable electronic text without a network connection. The main features and applications of this software are as follows:

Features:

1. Offline Operation: Performs OCR tasks without the need for an internet connection.

2. Local Processing: All recognition and processing work is done on the user’s own device.

3. Privacy Protection: Since data does not leave the user’s device, personal and sensitive information can be better protected.

4. Flexibility: Users can use it anywhere without being restricted by network conditions.

Applications:

1. Document Digitization: Converts paper documents into electronic documents for easier storage and search.

2. Data Entry: Quickly extracts information from printed documents for database entry or other data processing.

3. Content Editing: Imports the text recognized by OCR into word processing software for editing.

4. Language Learning: Helps learners recognize and learn text in different languages.

5. Historical Archive Organization: Used by libraries, archives, and other institutions for the digitization of historical documents.

Examples of Offline OCR Software:

– ABBYY FineReader: A well-known OCR software that offers offline recognition capabilities.

– Tesseract OCR: An open-source OCR engine that can run offline and is suitable for various operating systems.

– Adobe Acrobat: Although primarily a PDF editor, it also includes OCR functionality that can be used offline.

Offline OCR software plays an important role in improving work efficiency, reducing manual input errors, and promoting information digitization. This advantage is particularly evident in environments with strict data security and privacy protection requirements.

Free, open-source, batch-capable offline OCR software for Windows 7 x64, Linux x64

• Free: All code for this project is open-source and completely free.

• Convenient: Unzip to use, runs offline, no network required.

• Efficient: Comes with a highly efficient offline OCR engine and built-in multi-language recognition libraries.

• Flexible: Supports command line, HTTP interface, and other external calling methods.

• Features: Screenshot OCR / Batch OCR / PDF recognition / QR code / Formula recognition

Getting Started

The software package is available for download as a .7z compressed file or a .7z.exe self-extracting file. The self-extracting file can extract files on computers without compression software installed.

This software does not require installation. After extraction, click Umi-OCR.exe to start the program.

If you encounter any issues, please raise an issue, and I will assist you as best as I can.

Interface Language

Umi-OCR supports multiple interface languages. When you first open the software, it will automatically switch languages according to your computer’s system settings.

If you need to manually switch languages, please refer to the image below, Global Settings → Language/Language.

Tabs

Umi-OCR v2 consists of a series of flexible and user-friendly tabs. You can open the tabs you need according to your preferences.

The top left corner of the tab bar allows you to switch Window Always on Top. The top right corner allows you to lock the tab to prevent accidental closure during regular use.

Screenshot OCR

Screenshot OCR: After opening this page, you can use a shortcut key to invoke the screenshot and recognize the text in the image.

• The left image preview bar allows you to directly select and copy with the mouse.

• The right recognition record bar allows you to edit text and select multiple records for copying.

• Also supports copying images from elsewhere and pasting them into Umi-OCR for recognition.

• About the formula recognition feature

Text Post-Processing

About OCR Text Post-Processing – Layout Parsing Scheme: This can organize the layout and order of OCR results, making the text more suitable for reading and use. Preset schemes:

• Multi-Column - Line Break by Natural Paragraph: Suitable for most scenarios, automatically recognizes multi-column layouts and performs line breaks according to natural paragraph rules.

• Multi-Column - Always Line Break: Every statement performs a line break.

• Multi-Column - No Line Break: Forces all statements to be merged into the same line.

• Single Column - Line Break by Natural Paragraph/Always Line Break/No Line Break: Similar to the above but does not distinguish multi-column layouts.

• Single Column - Keep Indents: Suitable for parsing code screenshots, retaining leading indents and spaces in lines.

• No Processing: The original output of the OCR engine, with each statement performing a line break by default.

The above schemes can automatically process horizontal and vertical layouts (from right to left). (Vertical text also requires support from the OCR engine itself)

Batch OCR

Batch OCR: This page is used to batch import local images for recognition.

• Supported formats: jpg, jpe, jpeg, jfif, png, webp, bmp, tif, tiff.

• Supported formats for saving recognition results: txt, jsonl, md, csv(Excel).

• Same as Screenshot OCR, supports Text Post-Processing to organize the layout and order of OCR text.

• No quantity limit, can import hundreds of images for tasks at once.

• Supports automatic shutdown/sleep after task completion.

• If you need to recognize large images or long images with high pixel counts, please adjust: Page Settings → Text Recognition → Limit Image Edge Length → [Increase Value].

• Has a special function Ignore Area.

Ignore Area

About OCR Text Post-Processing – Ignore Area: A special function in Batch OCR suitable for excluding unwanted text in images.

• In the settings on the right side of the batch recognition page, you can enter the Ignore Area editor.

• As shown in the example above, there are multiple watermarks/LOGOs at the top and bottom right of the image. If you batch recognize such images, the watermarks will interfere with the recognition results.

• Hold the right mouse button and draw multiple rectangular boxes. The text within these areas will be ignored in the task.

• Please try to make the rectangular boxes large enough to completely cover all possible watermark positions.

• Note that only entire text blocks within the ignore area box (not individual characters) will be ignored. As shown in the figure, the dark rectangle with a yellow border is an ignore area. Therefore, only key_mouse will be ignored. The text blocks pubsub_connector.py and pubsub_service.py will be retained.

Document Recognition

Document Recognition:

• Supported formats: pdf, xps, epub, mobi, fb2, cbz.

• Performs OCR on scanned documents or extracts existing text. Can output as double-layer searchable PDF.

• Supports setting ignore areas to exclude text from headers and footers.

• Can set automatic shutdown/sleep after task completion.

QR Code

Scan:

• Screenshot/paste/drag local images to read QR codes and barcodes within.

• Supports multiple codes in one image.

• Supports 19 protocols, as follows:

Aztec,Codabar,Code128,Code39,Code93,DataBar,DataBarExpanded,DataMatrix,EAN13,EAN8,ITF,LinearCodes,MatrixCodes,MaxiCode,MicroQRCode,PDF417,QRCode,UPCA,UPCE

Generate Code:

• Input text to generate a QR code image.

• Supports 19 protocols and error correction levels and other parameters.

Global Settings

Global Settings: Here you can adjust the global parameters of the software. Common functions include:

• One-click to add shortcuts or set to start on boot.

• Change the interface language. Umi supports Traditional Chinese, English, Japanese, and other languages.

• Switch the interface theme. Umi has multiple light/dark themes.

• Adjust the size and font of the interface text.

• Switch OCR plugins.

• Renderer: The software interface supports GPU-accelerated rendering by default. If you experience screen flickering or UI misalignment on your machine, please adjust Interface and Appearance → Renderer, try switching to different rendering schemes, or turn off hardware acceleration.

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