Quick OCR text recognition

Jisu OCR text recognition software is a domestic shared tool designed for Windows systems. It is designed to convert text in pictures, scanned documents, PDF and other files into editable text formats (such as Word, TXT).

Software features

Multi-format support and compatibility

Supports common image formats such as JPG, PNG, BMP, PDF, TIF, and GIF, as well as document formats such as DOC, covering the diverse needs of users.

Compatible scanners can directly scan books or documents to achieve seamless "scanning-recognition" connection.

High-precision identification and error correction technology

Using advanced OCR algorithms, the recognition accuracy is as high as 99%, and it can accurately identify complex fonts and mixed content of Chinese and English traditional tables and figures.

Built-in intelligent error correction function automatically detects document styles, titles, etc., reducing manual proofreading costs.

Extremely fast processing and batch operations

The new "extremely fast core" greatly improves batch processing efficiency and supports the conversion of multiple pictures or files at one time.

The operation process is simplified, supporting drag-and-drop uploading and one-click identification, reducing user learning costs.

Format restoration and image and text analysis

Automatically restore the logical structure and layout format of the document without re-entering or typesetting, and retain the paragraphs, tables and other information of the original document.

Automatically analyze documents mixed with images and text, and accurately identify text areas after dividing them to avoid missing information.

Software function

Core recognition function

Image recognition: Supports text extraction from local images or screenshots, covering daily office and study scenarios.

PDF recognition: directly convert text-based PDFs into editable documents, or perform OCR processing on image-based PDFs.

Ticket recognition: It can identify ID cards, bank cards, business licenses and other document information to meet the needs of specific scenarios.

Format conversion and editing

Various output formats: support editable formats such as Word and TXT to facilitate subsequent modification and sharing.

Typesetting optimization: Adjust fonts, font sizes, and paragraph spacing according to the original document to improve readability.

FAQ

Recognition accuracy is low

Reason: The picture is blurry, the light is insufficient, the text is deformed or the background is complex.

Solution:

Use high-definition original images to ensure the text is clear and legible;

Adjust scanning parameters (such as resolution, contrast) to avoid tilting or distortion;

For low-quality manuscripts (such as newspapers), you can use a copier to adjust the contrast before scanning.

1. Fixed several bugs;

2. Optimize details;