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Image to CSV Table Converter — Free and Browser-Based

Last updated: February 2026 6 min read
Quick Answer

Table of Contents

  1. Supported inputs
  2. The three-click flow
  3. Three accuracy factors
  4. What OCR can't handle
  5. After export: CSV best practices
  6. Frequently Asked Questions

An image-to-CSV table converter turns a picture of a table — screenshot, scan, or phone photo — into structured comma-separated data you can paste into Excel, Google Sheets, or any database. The conversion uses OCR (optical character recognition) to read text, plus geometric analysis to determine which text belongs in which row and column. Here's which image types work best, what to expect in terms of accuracy, and the three settings that change the output the most.

What image types the tool accepts

FormatWorks well?Notes
PNG (screenshot)ExcellentIdeal — lossless, native resolution
JPG (photo)GoodKeep quality 85+ to avoid compression artifacts on text
WebPExcellentSame as PNG for lossless; quality 90+ for lossy
BMPExcellentUncompressed — works perfectly, but files are huge
HEIC (iPhone)Works via auto-convertBrowser converts to PNG first; no manual step needed
GIFLimitedOnly first frame read; 256-color palette affects accuracy
TIFFNot directlyConvert to PNG first
PDFNoUse our PDF table extractor instead

The three-click flow

  1. Drop the image onto the upload zone, or paste from clipboard with Ctrl+V / Cmd+V.
  2. Click Extract Table. Processing typically takes 2-5 seconds for a single-page table; longer for complex or high-resolution images.
  3. Review the preview. Click Download CSV or Copy CSV.

That's it. No account, no upload queue, no usage quota.

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Three factors that change accuracy the most

  1. Image resolution. A 1200-pixel-wide table image extracts cleaner than the same table at 600 pixels. For photos, shoot at 300+ DPI. For screenshots, use native resolution (2x/3x on Retina/high-DPI screens).
  2. Font style. Sans-serif fonts (Arial, Helvetica, Inter) OCR better than serif (Times, Georgia). Decorative or condensed fonts drop accuracy further. If you control the source, pick sans-serif when possible.
  3. Row spacing. Tightly-packed rows sometimes merge during column detection. A bit of vertical whitespace between rows helps. If the source is crammed, try zooming the browser to 150-200% before screenshotting.

What OCR cannot handle cleanly

After export — CSV best practices

A few post-export steps that almost always save time:

If you then need to convert the CSV to Excel .xlsx, our CSV to Excel tool does that in one step.

Turn Any Table Image Into Excel-Ready CSV

Drop the image, click Extract, download the CSV. Free, no account, runs entirely in your browser.

Open Free Table Extractor

Frequently Asked Questions

What image formats does the table extractor accept?

PNG, JPG, WebP, and BMP work directly. HEIC from iPhone auto-converts through the browser. TIFF requires conversion to PNG first. PDF is not supported — use our dedicated PDF table extractor for that.

How accurate is image-to-CSV conversion?

For clean screenshots with sans-serif fonts at 1080p+, expect 95%+ character accuracy. Phone photos of printed tables drop to 85-90%. Handwritten tables drop further, often below usable. Always spot-check numeric columns.

Can I extract tables from an iPhone photo?

Yes. HEIC photos from iPhone work directly — the browser auto-converts to PNG internally. For best results, shoot the photo straight-on (not at an angle) with good lighting and no shadows across the text.

Does this work for multi-page tables?

The tool processes one image at a time. For a table that spans multiple pages, take one screenshot per page and run each through separately, then concatenate the CSVs in Excel. For PDF documents with multi-page tables, use our PDF-to-Excel tool instead — it handles pagination automatically.

Michael Turner
Michael Turner OCR & Document Scanning Expert

Michael spent five years managing document-digitization workflows for a regional healthcare network.

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