The tool extracts the text layer from graphic files and saves it into an editable Word document. It accepts raster images in common formats like JPG, PNG, or HEIC as input and uses the Tesseract optical character recognition engine to convert inscriptions into digital text. The resulting DOCX file contains the recognized material as a continuous stream, suitable for copying and editing.
When this is useful
First case: you've been given a paper manual or a scanned contract and urgently need to get the text for editing without retyping it manually. You simply take photos of the pages with your phone and upload them to the service. Second case: during a work meeting, you took a series of presentation screenshots, and now you need to quickly gather all the text theses from the slides into one structured document.
Step-by-step instructions
- Prepare and upload up to 15 photos or screenshots in one session, keeping within the file size limit.
- Click the recognition start button and wait for all images to be processed — the duration depends on the amount of text on them.
- The system will sequentially process each file and combine all found text into a single document.
- Download the finished DOCX file, which will open in any modern text editor.
How to verify the result
Open the resulting DOCX and compare the recognized text with the original on the images, especially in places with non-standard fonts or low resolution. Make sure all uploaded pages were processed and their content is present in the document, even if in a simplified form. If the text looks like an incoherent set of characters, the original photo was likely too blurry or the document's language is not supported.
Important limitations
Do not expect the final document to preserve complex layout, columns, tables, or embedded drawings — the tool is aimed solely at extracting textual content. Recognition accuracy directly depends on the quality of the original shot: clear photos with even lighting yield the best result. After processing, be sure to proofread the text, as errors are possible in rare terms or with a low-contrast background.