Who this helps
- People copying text from screenshots
- People transcribing scanned notes or receipts
Document Utility
Image OCR Text Extractor
Extract text from JPG, PNG, and WEBP images using OCR. Supports multiple images, grayscale conversion, contrast enhancement, scaling, result copy, and TXT or CSV download.
Image Text Extraction
Convert text inside documents, receipts, screenshots, and images into editable text.
OCR Quality Options
Improve recognition quality with grayscale conversion, contrast enhancement, and image scaling.
Copy and Download
Copy the full OCR result or save it as TXT and CSV files.
Images
0
Language
KOR+ENG
Scale
2x
Output
Text
Image Upload
Upload images to extract text. You can select multiple images at once.
No images have been uploaded yet.
Uploaded Images
These are the images that will be processed by OCR. You can remove unnecessary images individually.
OCR Settings
Adjust language, recognition mode, and correction options based on the image condition.
Selecting the language included in the image can improve recognition accuracy.
Choose a mode that matches the structure of documents, receipts, or screenshots.
Small text may be recognized better with 2x or 3x scaling.
Recommended OCR Presets
Quickly apply common OCR settings based on the image type.
Preparing OCR...
0%
Extraction Result
Check the text extracted from images, copy it, or download it as a file.
Upload images, then click the extract text button.
Extract text from images and verify the result
Recognize text in JPG, PNG and WebP images using browser-based OCR. Select the image's language and layout, then copy or export the text after checking it against the image.
When to use this tool
- Turn a screenshot into editable text
- Read several receipt images in one run
From input to a checked result
- 1
Add up to 10 images, no more than 15 MB each and 60 MB combined.
- 2
Select the actual text language; the website language does not automatically choose OCR language.
- 3
Choose document, paragraph, single-line or sparse-text mode and compare preprocessing options.
- 4
Extract, verify the text and save it with Copy, TXT or CSV.
A single line
- Input
- Clear image showing SAMPLE 123; English; single-line mode
- Result
- An editable text candidate for SAMPLE 123
This is a suggested trial input, not a guaranteed recognition result.
Two document images
- Input
- 2 PNG pages; matching language; document mode
- Result
- Separate recognition results, with text export
CSV lists recognition results; it does not reconstruct the original table's cells.
How it works
Images are resized on a canvas, optionally converted to grayscale and given stronger contrast. Tesseract.js recognizes them in sequence. Scale is limited by a 40-million-pixel processed-image cap; confidence is an engine score, not a measured accuracy percentage.
Limitations
- Handwriting, blur, skew and complex backgrounds can cause errors.
- PDF input is not supported directly; convert pages to images first.
- Adding more languages or enlarging an image does not guarantee higher accuracy.
Your data
Image recognition runs in your browser without uploading the images to win-j. OCR code and language models may be downloaded from external services, so initial use needs network access.
References
Related tools
- PDF to images
Prepare page images for recognition.
- Crop an image
Keep the text area and remove surrounding clutter.
Frequently asked questions
Does 90% confidence mean 90% of characters are correct?
No. It is an internal engine score; compare important text with the source.
Why is PDF not accepted?
This tool takes image files. Convert PDF pages to PNG or JPG first.
Can CSV recreate a receipt table?
No. It exports recognition results, not reconstructed spreadsheet cells. Check and arrange rows yourself.