Screenshots are everywhere — Slack messages, report dashboards, web pages you can't export from, legacy systems with no API. When the data you need is locked in a screenshot, here's how to get it into a spreadsheet.
Unlike a CSV file or a web page, a screenshot is just pixels. There's no underlying data structure — no rows, columns, or cell values. To extract data from a screenshot, you need optical character recognition (OCR) combined with table structure detection.
Upload the screenshot to Google Drive, right-click, and open with Google Docs. Google will run OCR and give you the text. However, it won't preserve table structure — you get a flat block of text that you'll need to manually reformat into columns.
Best for: Extracting raw text, not structured table data.
Services like OnlineOCR.net or i2OCR can extract text from images. Some attempt table detection, but most produce plain text or poorly formatted results. You also need to upload your image to a third-party server.
Best for: Simple text extraction when privacy isn't a concern.
TableGrab is purpose-built for this. It combines OCR with intelligent table structure detection — identifying rows, columns, headers, and cell boundaries from the visual layout of the table.
The whole process takes about 5 seconds per table.
Skip the manual work — extract tables in seconds
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