Image workflow · Practical guide
Extract English text from an image and correct OCR mistakes
Turn a clear PNG, JPEG or WebP into editable text, proofread the result, and save a TXT copy.
Uvar solutions Pvt Ltd · Updated 12 October 2026
Open image-to-text OCR →1. Prepare a clear image of printed English
Use an upright PNG, JPEG or WebP up to 10 MB, 16 megapixels and 8,192 pixels per side. Prefer sharp text with good contrast and a simple layout. Crop irrelevant surroundings without cutting letters. Handwriting, multiple columns, tables, rotated text and faint scans can produce incorrect or out-of-order results.
2. Try an example with a known answer
Make a clear screenshot containing INVOICE 12345. Choose it and select Extract English text. The release test recovered that exact phrase and the downloaded TXT contained it. Use the same comparison method on your own example: recognition is an estimate, and successful recognition of one phrase is not a guarantee for other documents.
3. Wait for local recognition
The English model and recognizer download from this site when processing starts; your selected image is not uploaded. Initial loading and phone processing can take time. Progress describes model loading and reading. Use Cancel to stop the pending operation, then choose a sharper or smaller image if needed.
4. Proofread before copying or downloading
Compare the editable text with the image line by line. Check 0 versus O, 1 versus l, punctuation, identifiers and decimal values. Correct mistakes, then choose Copy text or Download TXT. Open the saved file and compare it again before using the text in another system. Formatting, table structure and fonts are not preserved.
5. Choose the right PDF workflow
This tool accepts images, not PDFs. For a scan inside a PDF, render the required page with PDF to PNG & JPG, then recognize the resulting image. For a PDF with selectable embedded text, use PDF to Text first to avoid unnecessary OCR. English support does not imply accurate recognition of other languages.
Try the workflow
Start with a small example and check the result before using your own data.
Open image-to-text OCR →