Image to text without uploading: private OCR in your browser
The screenshot you want to copy is often a ticket, a payroll line, or a customer chat. The words are the point. Sending the whole image to an unknown converter is optional, not required.
Image to text without uploading: private OCR in your browser?
The screenshot you want to copy is often a ticket, a payroll line, or a customer chat. The words are the point. Sending the whole image to an unknown converter is optional, not required. OCR finds letters in pixels: screenshots, phone photos, receipts, whiteboards, scanned PDF pages.
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The file you want to copy is often the file you should not upload
OCR finds letters in pixels: screenshots, phone photos, receipts, whiteboards, scanned PDF pages. Output is text you can paste. The privacy question is where recognition runs. A typical “image to text” site posts the file. A browser OCR tool downloads an engine, then reads the image on the device.
Inputs that actually show up
| Input | Usually fine | Check by hand |
|---|---|---|
| Support screenshot | UI text | Names, ticket IDs, hostnames |
| Receipt | Merchant line | Totals, dates, tax IDs |
| Phone photo of a letter | Printed body | Skew, shadows |
| Scan PDF | Clean pages | Column order |
| Handwriting | Unreliable | Do not skip a human pass |
Catch the errors that matter
- Use the original PNG/JPEG, not a third recompress.
- Crop chrome and icons.
- Pick the language. “Auto” here is English, not script detection.
- Compare names and numbers to the image.
- Export text if you want to paste; searchable PDF if you want to keep the page look.
First-party test data: what browser OCR actually catches
Rather than relying on marketing claims about "99% OCR accuracy", we run open benchmarks against real-world documents in our research lab. In our 2026 Multilingual OCR Benchmark, testing English freelance invoice OCR-EN-2026-001 achieved a 93.8% key-field match (15/16 fields correct, character error rate 0.1782). The engine captured all numeric values ($4,250.00, $1,800.00, IBAN), email, and URLs with 100% fidelity, but missed a stylized uppercase header ("INVOICE").
That error pattern proves the rule: browser OCR is reliable for body paragraphs, addresses, and standard numbers, but stylized display typography and low-contrast headers still require human verification. See the complete 10-language failure taxonomy and download raw datasets at /labs/ocr-benchmark/dataset/.
No upload is not the same as airplane mode
The engine and language data still load from this site the first time. After that they may be cached. That is different from posting the document to a recognition API. If you care about privacy, watch whether file bytes and extracted text leave the tab.
After a redaction, running OCR on the export is a decent way to see if an email address is still in the pixels. Receipt-specific mistakes live in the receipt note.