AI Document Tools

AI Table Extractor

Detect tables in JPG, PNG or WebP document images with browser AI, reconstruct rows and cells with OCR, and export CSV without uploading the source file.

Choose document image

JPG, PNG or WebP

Table detection and OCR run in your browser. The source image is not uploaded to Zavilo.

About AI Table Extractor

AI Table Extractor combines online table detection and OCR to locate tables and reconstruct useful row and cell data.

Common use cases

Move printed tables into spreadsheets

Extract rows and cells from a photographed or scanned table before cleaning the result in a spreadsheet.

Digitize simple reports

Turn clearly structured tabular information from document images into CSV-ready working data.

Reduce manual retyping

Use table detection and OCR as a starting point when copying many values by hand would be slow.

How it works

1

A browser AI model looks for regions that appear to contain a table.

2

OCR reads text inside the detected table and the tool estimates row and cell structure.

3

The reconstructed values are presented as editable tabular data that can be exported to CSV.

Privacy & file handling

Table detection and OCR run in the browser

The supported table-extraction workflow processes the selected document image on the device rather than requiring it to be uploaded to Zavilo.

Limitations and important notes

  • Merged cells, nested headers, faint grid lines and irregular layouts can be reconstructed incorrectly.
  • OCR can misread small, blurred, handwritten or low-contrast text.
  • Always verify financial values, dates, identifiers and other consequential data against the source image.

Table extraction vs plain OCR

FeatureBest forOutput
AI Table ExtractorRows and columns with visible table structureCSV-oriented tabular data
Image to Text OCRParagraphs, labels and general textPlain recognized text without guaranteed table structure

How to use AI Table Extractor

  1. 1

    Choose a document image containing a table.

  2. 2

    Run AI table extraction.

  3. 3

    Review the reconstructed data.

  4. 4

    Download the result as CSV.

Tips for better results

  • Use a sharp, front-facing image for best OCR accuracy.
  • Complex merged cells may need manual cleanup.

Frequently asked questions

Which file formats can I use?

Check the file picker and tool description for the supported formats. Available formats can vary by tool.

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