How this works in your browser
The tool loads Tesseract.js, a WebAssembly build of the long-established open-source Tesseract OCR engine, directly into the page along with its trained English language data. Recognition proceeds roughly as it does in any OCR system: the image is binarised into text and background, connected components are grouped into lines and words, and each character shape is classified against the trained model. That classification is genuinely expensive computation, which is the honest explanation for why this tool is slower than every format converter on the site. The trade is real, though: because the engine and its model run in your tab rather than on a server, an image containing personal or confidential information is never transmitted anywhere.
Extract Text from Image (OCR) vs. traditional online converters
| Feature | Extract Text from Image (OCR) (in-browser) | Traditional online converters |
|---|---|---|
| File upload required | No - never leaves your device | Yes - file is sent to a server |
| Processing queue | None - starts instantly | Often, especially at peak times |
| Watermark on output | Never | Common on free plans |
| Usage limits | None - free, unlimited use | Often capped per day or file size |
| Works offline once loaded | Yes, for most tools | No - requires a live connection |
| Account required | No | Often, for anything beyond a trial |
Who uses Extract Text from Image (OCR)
Copying text from a screenshot
Recover text from an image where it cannot be selected, such as a capture of an error message or a slide.
Digitising printed pages
Turn a photographed page from a book, report or letter into editable text.
Reading text out of receipts
Pull amounts and line items off a receipt photo instead of typing them out.
Handling sensitive documents
Extract text from confidential paperwork without sending the image to an online OCR service.
How to use Extract Text from Image (OCR)
- 1
Open the Extract Text from Image tool
Go to tools.slaytic.com and open the OCR tool. No sign-up or account required.
- 2
Drop your image
Add a photo or screenshot containing printed text. A close, sharp, well-lit image works best.
- 3
Wait for recognition
The engine runs on your own device, so give it a moment on large or text-dense images.
- 4
Copy the extracted text
Review the output for misreads, then copy it wherever you need it.
Frequently asked questions
Why is this slower than other image tools?
Optical character recognition is computationally intensive. Since it all runs on your own device rather than a server, larger or more text-dense images take noticeably longer than a simple format conversion.
How accurate is the text recognition?
Accuracy is good for clear, well-lit printed text. Handwriting, low-resolution scans, and stylised fonts will have more recognition errors.
Which languages are supported?
The tool is configured for English text recognition by default.
How can I improve the accuracy?
Give it more pixels and more contrast. Recognition depends heavily on how many pixels each character occupies, so a close, sharp photo of one paragraph beats a distant shot of a whole page. Straightening a tilted image and converting to greyscale before running it also helps noticeably.
Does it work on handwriting?
Poorly, and it is better to say so plainly. Tesseract is trained on printed type, where letter shapes are consistent. Handwriting varies too much between writers and even between words, so expect scattered results at best. Cursive is effectively out of reach.
Will it preserve the layout of a table or form?
Not reliably. The engine reads text and returns it as text, so columns, table cells and multi-column layouts tend to come out interleaved or flattened into reading order. Cropping to one column or one cell at a time gives far cleaner results.
Is the image uploaded to an OCR service?
No, and that is the meaningful difference from most OCR sites. The recognition engine itself runs in your browser, so an ID document, a payslip or a confidential contract is never sent anywhere.