What kind of tables are supported?

We support standard tables, merged cells, and borderless tables. Extremely complex nested tables may require some manual adjustment.

Can I adjust the exported Excel format?

Yes. The exported file is a standard Excel file. You can freely adjust fonts, colors, and styles in any spreadsheet software.

Ensure the image is clear, horizontal, and well-lit. Very blurry lines or heavy background noise may affect recognition.

Precise table structure recognition and perfect restoration

Make data entry painless.
100% local processing, secure and efficient.

OCR Language

Click or drag images/folder here to upload

Supports JPG, PNG, WebP formats

Preview

Quickly extract balance sheets, income statements, and other financial data with precise multi-column restoration.

Accurately capture complex experimental data tables from academic papers, supporting mixed language layouts.

Process various registration and approval forms, supporting complex layouts with merged cells.

Identify purchase lists and invoices, easily converting paper contract data into digital format.

Automatically recognize rows, columns, and merged cells, minimizing manual adjustments.

Perfectly supports mixed-language tables (CN, EN, JP, KR) with industry-leading accuracy.

All table data is processed locally in your browser. Never uploaded, protecting your business data.

Drag and drop images or folders containing tables. Supports batch processing.

Our engine automatically locates tables and extracts cell content with high precision.

Verify results in the workbench and export them as standard .xlsx files instantly.

What kind of tables are supported?: We support standard tables, merged cells, and borderless tables. Extremely complex nested tables may require some manual adjustment.
Can I adjust the exported Excel format?: Yes. The exported file is a standard Excel file. You can freely adjust fonts, colors, and styles in any spreadsheet software.
Why is my table not being recognized?: Ensure the image is clear, horizontal, and well-lit. Very blurry lines or heavy background noise may affect recognition.

Visual Tutorial