QuickMerge100% private — your files never leave your browser. No uploads, no servers, no sign-up.
Screenshot to Excel — Convert Images to Spreadsheets, Free
Drop a screen capture of a table below. Optical character recognition runs on your own device, rebuilds the rows and columns, and hands you a real .xlsx file to download. The image is never uploaded.
- Free to use
- No sign-up
- Real .xlsx output
- Works with PNG and JPG
- Runs in your browser
- No uploads
How do I convert a screenshot to Excel?
Drag & drop an image here
or click to browse. PNG, JPG, WebP, GIF and BMP screen captures all work. Recognition runs on your device and fills the editor below — the image is never uploaded.
The file is read only in this browser and placed in the editable table input below.
How to convert a screenshot to Excel
Four steps, about two minutes, and nothing leaves your device at any point.
- Select your screenshot. Drag the image onto the upload box above, or click it to browse. The file is read directly by this page, so there is no upload to wait through and no copy of your data on anyone’s server.
- Let the recognition run. Text extraction starts by itself and reports progress as it goes. The first run is slower than the rest because it downloads the recognition engine and its English training data; after that they are cached.
- Check and correct the table. The recognised rows land in the editor and the live preview underneath shows the finished sheet. Fix any misread characters directly, and change the delimiter if a column split in the wrong place.
- Download the .xlsx file. Name the worksheet and the file, then press Download Excel. You get a real workbook that opens in Excel, Google Sheets, LibreOffice and Numbers — or take the plain CSV instead.
Get a better result from the capture itself
Recognition quality is decided before the image ever reaches this page. Three habits do most of the work:
- Capture big, not small. Zoom the page or document until the table nearly fills the screen, then capture. Character height is what recognition depends on, and it is the one thing entirely within your control.
- Keep it PNG. Screen capture tools default to PNG, which is lossless. A JPG that has been re-saved a few times — forwarded through a chat app, for instance — has soft, smeared letter edges that cost accuracy.
- Crop to the table. Surrounding menus, sidebars and page furniture add words that are not part of your data. Cropping to just the table before you convert is the single biggest accuracy improvement after resolution.
When you'd use this
- Invoices and receipts. Line items and totals from a supplier portal that offers a view but no export, pulled into a sheet for expense tracking.
- Bank and card statements. Online banking that shows transactions on screen and offers a PDF at best. Capture the table, convert, and reconcile in a spreadsheet.
- Reports and dashboards. Analytics and BI tools frequently render a table with no download button. A screen capture recovers the numbers.
- Data trapped in images. A table pasted into a chat, embedded as a picture in a slide deck, or shipped inside a PDF that turned out to be a scan.
- Sensitive data you must not upload. Payroll, patient identifiers, customer lists. A screenshot-to-spreadsheet service that processes your image on its own servers is a data transfer; this one is not.
Why QuickMerge for screenshot to Excel
- Private by architecture, not by promise. There is no upload step to trust, because there is no upload. Everything happens in the browser tab, and you can verify it yourself in the network panel — see proof of privacy.
- Free, with no account. No sign-up wall, no email capture, no credit card, no export limit.
- Nothing to install. No extension and no desktop app, so it works on a managed work machine.
- A real Excel file. Genuine Office Open XML, with numbers written as numeric cells so formulas and sorting work immediately.
- You review before you export. The tool always fills an editable preview rather than downloading straight away, because OCR should never be trusted blind.
Honest limits
- Recognition uses English training data. Other Latin-script languages are often partly readable, but accented characters and non-Latin scripts are not reliable.
- Merged cells, cells whose text wraps onto two lines, and borderless layouts with tight columns usually need a manual fix in the editor.
- Only the values convert. Colours, fonts, borders, conditional formatting and formulas from the original are not reproduced.
- Processing is local, so a very large capture on an older phone can be slow. A desktop browser handles big images more comfortably.
- Always read the preview before you rely on the numbers. This tool saves you the typing; it does not remove the need to check.
Which QuickMerge tool do I want?
- A screen capture — you are on the right page.
- A photo or a flatbed scan — use image to Excel, which covers angle, lighting and scan-resolution problems a screenshot never has.
- Text you can select and copy — text to Excel is exact and far faster; skip recognition entirely.
- Words rather than a table — OCR returns the text of a scanned PDF or image without trying to rebuild columns.
- Something else entirely — the QuickMerge home page lists every tool, and OCR & extraction groups the ones related to this job.
For the longer version of all of this — why the data ends up in a screenshot in the first place, what an upload actually costs you, and how to check a converted table before you trust its numbers — read how to convert a screenshot to Excel without uploading your data.
Frequently Asked Questions
Yes, and without an account. The conversion runs on your own device rather than on our servers, so there is no per-file cost to pass on: no sign-up, no trial period, no watermark and no monthly limit to run down.
That is exactly what it is for. The recognition engine returns a bounding box for every word it finds; the tool then groups words into rows by their vertical position and splits each row into columns wherever there is a wide enough horizontal gap. Clean screen captures of on-screen tables are the best case for that approach, because the glyphs are sharp and the columns are already aligned.
The screenshot is never uploaded. It is read from your device into browser memory and passed to a recognition engine running in the same page, and the spreadsheet is assembled there too. Closing the tab clears everything. The engine itself is a JavaScript library (Tesseract.js) fetched from a public CDN, and it downloads English training data the first time you use it — those requests carry no part of your image. You can watch all of it in your browser’s own network panel; the method is on our proof of privacy page.
Any still image your browser can decode: PNG, JPG, WebP, GIF and BMP. PNG is what Windows, macOS, iOS and Android all produce by default when you take a screen capture, so in practice you can use whatever your screenshot key gave you. A PDF is not an image — convert the page with PDF to JPG first, or use OCR if you only need the words rather than the table.
No. There is no extension, no desktop app and no add-in. The page you are on is the whole tool, which also means it works on a locked-down work computer where you cannot install software.
On Windows, Win + Shift + S opens the snipping overlay; drag a box around the table. On macOS, Cmd + Shift + 4 does the same. On iPhone and Android, take a normal screenshot and crop it. Capture at the largest zoom level that still fits the whole table on screen — more pixels per character is the single biggest thing you control.
Three causes account for almost all of it. Small text: if the characters are under roughly ten pixels tall, zoom in before capturing. Compression: a JPG screenshot re-saved a few times smears letter edges, so prefer PNG. Tight columns: when columns nearly touch, the gap detector merges them — widen the columns on screen before capturing, or split the cell in the editor afterwards. OCR also confuses 0/O, 1/l/I, 5/S and 8/B more than anything else, which is why the editable preview exists.
Download the .xlsx here, then open it in Google Sheets with File → Import. Because the file is a genuine Office Open XML workbook rather than a renamed CSV, numeric cells arrive as numbers and sorting works straight away. A plain CSV download is available too if you prefer.