OCR for screenshots
Copy error messages, app labels, chat text, slides, video subtitles, and visible website content when direct text selection is unavailable.
Open screenshot to textOCR reduces manual typing when the source is a photo, scan, screenshot, or image-based table. The result remains a draft and should be checked against the original.
Copy error messages, app labels, chat text, slides, video subtitles, and visible website content when direct text selection is unavailable.
Open screenshot to textTurn clear handouts, printed notes, book passages, and slide images into searchable drafts. Check references, formulas, and punctuation.
Open image to textExtract visible model numbers, ingredients, directions, product details, and warning text for easier review and copying.
Create an editable draft from a clear image scan. Preserve the original and verify names, dates, amounts, and identifiers.
Propose rows and columns from a table image, correct the grid, then export reviewed values as CSV or XLSX.
Open table OCRConvert non-sensitive image text into corrected text that can be searched, indexed, enlarged, translated, or read with assistive software.
Screenshot OCR can capture error messages, product support conversations, app menus, system dialogs, and browser warnings. Crop to the relevant region and verify every code, path, and punctuation mark.
Students can use image to text conversion for clear printed notes, handouts, book passages, lecture slides, and photographed reference pages. OCR output can support search and note organization.
Equations, citations, page numbers, symbols, and connected handwriting require careful correction.
OCR can reduce typing when copying model numbers, product details, ingredient lists, instructions, or printed warnings. Small curved labels and reflective packaging can cause errors.
A clear scan can become an editable text draft for search, correction, and reuse. Multiple columns should be cropped separately when reading order matters.
OCR can help create drafts from non-sensitive printed reports, forms, meeting notes, or records. It should not replace validation controls for financial, legal, regulated, or identity data.
The image table converter uses recognized word positions to propose rows and columns. Users correct the grid before downloading CSV or XLSX.
Extracting a table from an image is useful for a simple printed matrix, schedule, comparison table, or non-sensitive data sheet. It does not guarantee formulas, merged cells, totals, or exact layout.
Corrected OCR text can be searched, enlarged, translated, indexed, or read with assistive tools. Accuracy corrections should happen before publication or sharing.
Select the source language during OCR, correct the extracted text, and then use a separate translation workflow. Recognition and translation are different tasks.
Do not make medical, legal, financial, identity, compliance, academic, emergency, or safety decisions from unverified OCR output. Keep the source image and obtain qualified review when errors could cause harm.
The official Tesseract.js documentation explains the OCR engine used in the browser workflow.