Good input files
Use clear screenshots, scanned reports, receipts, invoices, photographed pages, or single-page PDFs. To extract table from image content accurately, keep the full table visible and avoid heavy blur.
Upload a screenshot, scan, photographed page, or single-page PDF. The tool reads the visible table, rebuilds the rows and columns, and gives you a result you can review before copying or downloading it.
Use clear screenshots, scanned reports, receipts, invoices, photographed pages, or single-page PDFs. To extract table from image content accurately, keep the full table visible and avoid heavy blur.
The result is not just a block of OCR text. You get a table preview that can be edited, copied, or downloaded as CSV, Markdown, JSON, or HTML.
Dense tables, merged cells, tilted photos, and cropped edges can still need review. Use the preview to make quick fixes before moving the data into a spreadsheet or report.
Pull a table from a saved dashboard, analytics screen, or report page when the original spreadsheet is not available.
Work with scanned tables from printed pages, old reports, forms, or office records that are hard to copy from.
Extract line items, quantities, totals, or other tabular sections before checking the result manually.
Turn a table image from a paper, PDF page, or reference document into a format that is easier to review.
Practical Notes
You do not need a perfect file, but a cleaner source usually means less cleanup after extraction.
Keep the table inside the image frame.
Use a source where row and column lines are readable.
Avoid screenshots with heavy compression or motion blur.
Crop unrelated content if it makes the table easier to read.
Yes. Screenshots are a common input, especially when the table comes from a webpage, dashboard, report, or locked document.
Yes, as long as the table is clear enough to read. A flat scan usually works better than a tilted or blurry photo.
You can review the extracted table and use CSV, Markdown, JSON, or HTML output depending on where the data needs to go next.
Blur, cropped columns, very small text, dense merged cells, and low contrast can all make the result harder to parse.