Convert PNG to WORD, Free
Files convert instantly in your browser. 100% private, any file size, no account needed.
Drop your PNG file here
or click to browse. Any file size.
Conversion runs entirely in your browser. Your file never leaves your device.
How to convert PNG to WORD
Converting a PNG image to a Word document (DOCX) typically serves one of two purposes: embedding the image in an editable document, or extracting text from a scanned or photographed document using OCR (Optical Character Recognition). If your PNG is a photo of a document, a scanned page, or a screenshot containing text, OCR extracts that text and places it in a Word document where you can edit it. The OCR processing runs locally in your browser using a WebAssembly-compiled Tesseract engine.
OCR accuracy depends on the quality of the source PNG. Clean, high-contrast, straight (not skewed), and high-resolution scans (at least 300 DPI equivalent for text) produce the best results. Handwriting is much harder for OCR than printed text; mixed layouts with tables and columns require more advanced processing. After downloading the Word document, expect to spend some time correcting errors, particularly with unusual fonts, numbers, and special characters.
Upload your PNG
Drop a .png file containing a document, scanned page, screenshot, or any image with text you want to extract.
Select the document language
Choose the language of the text in your PNG. This helps the OCR engine choose the correct character set and dictionary.
Process with OCR
The Tesseract OCR engine runs in your browser via WebAssembly. Your image is never uploaded. Processing time depends on image size.
Download the Word document
Save the .docx file. Review and correct any OCR errors before using the document in a professional context.
Frequently asked questions
How accurate is OCR for extracting text from images?
For clear, printed, high-resolution text, accuracy can exceed 98%. For low-resolution, handwritten, or stylized text, accuracy drops significantly. Always proofread the output.
What image resolution works best for OCR?
300 DPI or higher (in terms of actual pixel density for the text size) is the standard recommendation. Text that appears small in the PNG will have lower accuracy.
Can it extract text from screenshots?
Yes. Screenshots with clean system fonts (code editors, UI text, web pages) usually OCR very accurately because the text is pixel-sharp at screen resolution.
What if my document has tables?
Basic table recognition is supported. Complex multi-column layouts may not preserve structure perfectly in the Word output and may require manual reformatting.
Does it work for handwriting?
Standard OCR has very limited accuracy on handwriting. For handwritten documents, specialized handwriting recognition models (not included here) are needed.