Image to CSV - Extract Tables From Photos & Screenshots

Upload the image, the OCR detects the table structure, and a UTF-8 encoded CSV is generated and downloaded. Commas inside cells are quoted, headers stay in the first row, and trailing whitespace is stripped, so the file is ready to drop into Google Sheets, Excel, Numbers, or any BI tool that consumes CSV.

Yes. The CSV is RFC-4180 compliant with UTF-8 encoding and CRLF line endings, which Google Sheets, Excel, Numbers, Airtable, Notion and most CRMs ingest without prompting for advanced import options. Just choose File → Import and pick the downloaded .csv — no extra cleanup needed.

Yes. Currency markers ($, €, £, ¥, ₹), percentage signs and common date formats (YYYY-MM-DD, MM/DD/YYYY, DD-MM-YYYY) are preserved verbatim inside cells. Re-format inside your spreadsheet of choice if you want them treated as numbers — most apps detect the patterns automatically and convert.

The default separator is a comma and the encoding is UTF-8 (BOM optional), which suits English, Spanish, French and most Western datasets. For locales where decimal commas are common (Germany, France), open the CSV with the semicolon import option in Excel, or use the CSV-to-Excel converter in our toolbox for a styled .xlsx instead.

Yes. If the photo contains several distinct tables, the tool detects each one and lets you download a ZIP of separate CSV files — one per table — so you can drop them into different sheets or import them as separate datasets into your CRM, accounting tool or BI dashboard.

Uploads run on isolated servers, are deleted within minutes, and never train any model. No watermark, no attribution, no tracking — the CSV is yours to use commercially. That makes the tool safe for sales pipelines, customer lists, inventory exports and any data you would not want stored long-term.