Upload the image, choose the recognition language, and click the extract button. The OCR engine reads the visible text and shows a copyable result in your browser.
Image to Text Converter
Use this image to text converter to extract text from an image with OCR. Upload a JPG, PNG, WebP, GIF, BMP, or TIFF file, choose the recognition language, and copy the detected text from the result box. The OCR runs in your browser, so your image is processed on your device instead of being uploaded for conversion.
What This Image to Text Tool Does
This tool reads text inside an image and returns editable text that you can copy. It is useful for photos, screenshots, scanned image files, labels, receipts, notes, and other image files where the words are visible but not selectable.
The workflow is focused: upload one image, choose one OCR language, run text recognition, then review and copy the result. It does not convert PDFs, translate text, export Word files, or recreate the original layout. OCR output depends on the source image, so clear, high-contrast text gives better results than blurry, angled, or heavily compressed images.
| Input | What the tool does | What to expect |
|---|---|---|
| Photo with printed text | Uses OCR to recognize visible words | Best when the photo is sharp and well lit |
| Screenshot | Extracts text from the captured image | Useful for copying text from apps, websites, or error messages |
| Scanned image file | Reads text from a saved image, not a PDF | Good for JPG, PNG, WebP, GIF, BMP, or TIFF scans |
| Multilingual image | Recognizes text using the language you choose | Pick the main language in the image for better accuracy |
| Image with complex layout | Returns detected text, not the page design | Tables, columns, and spacing may need manual cleanup |
How to Convert Image to Text
1
Upload an image
Choose a file from your device or drag it into the upload area. The converter accepts common image formats, including JPG/JPEG, PNG, WebP, GIF, BMP, and TIFF.
2
Select the OCR language
Choose the language that matches the text in your image. The OCR engine uses that selection to load the right recognition model, which helps with letters, accents, scripts, and character shapes.
3
Extract the text
Click the extract button and wait for the progress indicator to finish. The page shows the recognized text and a confidence score when OCR completes.
4
Review and copy
Read through the extracted text before using it. OCR can miss letters or spacing when the source image is blurry, small, tilted, or low contrast. Use the copy button when the result is ready to paste into a document, note, email, or search field.
JPG to Text, PNG to Text, and Other Image Formats
Many people search for JPG to text or PNG to text because the text is trapped inside a saved image. This page handles those OCR tasks directly: upload the image file, select the language, and extract the text into a copyable result.
| Format | Supported? | Notes |
|---|---|---|
| JPG / JPEG | Yes | Common for photos, camera images, receipts, and screenshots exported as JPEG |
| PNG | Yes | Good for screenshots, UI captures, diagrams, and crisp text on solid backgrounds |
| WebP | Yes | Useful when a downloaded web image contains text you need to copy |
| GIF | Yes | Works as an image input, but the tool is not an animated frame extractor |
| BMP | Yes | Works for bitmap images from older Windows or scanning workflows |
| TIFF | Yes | Useful for scanned image files, as long as the file is an image rather than a PDF |
If you need to convert PNG to text, keep the original PNG when possible. Re-saving a screenshot as a low-quality JPG can introduce compression artifacts around letters and make OCR less reliable.
OCR Languages Supported
The recognition language matters. This image to text OCR tool supports English, Simplified Chinese, Traditional Chinese, Japanese, Korean, French, German, Spanish, Italian, Portuguese, Russian, Arabic, Hindi, Thai, and Vietnamese.
Use the language selector before starting OCR. For example, choose Japanese when extracting Japanese text from image files, Chinese when you need to read Chinese text from image files, and Arabic when you need to extract Arabic text from image files. If an image contains several languages, choose the language that covers the most important text first and review the result carefully.
This page is for extracting text, not translating it. After OCR finishes, you can copy the recognized text into a separate translation tool if that is part of your workflow.
Tips for Better Text Extraction from Image Files
🔍
Use the clearest source available
OCR works best when letters are sharp, upright, and separated from the background. A direct screenshot usually works better than a photo of a screen. A well-lit document photo works better than one with glare, shadows, or motion blur.
✂️
Crop only when it helps readability
If the image has a lot of empty space, cropping closer to the text can help. Do not crop through letters, lines, or labels. Leave enough margin so the OCR engine can read full words.
🌐
Choose the right language
Selecting the wrong language can reduce accuracy, especially for Chinese, Japanese, Korean, Arabic, Hindi, Thai, and Vietnamese. If the result looks strange, run OCR again with the correct recognition language.
📄
Expect plain text, not perfect formatting
The result is editable text. It may not preserve columns, tables, bullets, line breaks, or decorative spacing exactly. For important content, compare the output with the original image before sending or publishing it.
✅
Avoid using OCR as proof without review
OCR is a helpful time saver, but it is not a legal, medical, or financial verification tool. Review numbers, names, addresses, dates, and codes manually when accuracy matters.
Privacy and Browser-Based OCR
This image to text converter performs OCR in your browser. The image file is loaded on your device, the recognition model runs client-side, and the extracted text appears on the page after processing.
That browser-based workflow is useful for personal notes, work screenshots, receipts, labels, and other files where you do not want an unnecessary upload step. It also means performance depends on your device, browser, image size, and the selected OCR language.
Use this page when you need a quick text extractor from image files. If the source is a PDF, use a PDF-specific workflow first, because this uploader is built for image formats rather than PDF documents.
Frequently Asked Questions
To convert image to text, start with a clear image file such as JPG, PNG, WebP, GIF, BMP, or TIFF. Select the text language, run OCR, then review and copy the extracted text.
After OCR finishes, use the copy button next to the result. Check the output first, because OCR may need manual correction when the image has blur, glare, small type, or unusual fonts.
Upload the screenshot as an image file, select the language used in the screenshot, and extract the text. Screenshots usually work well when the text is large, sharp, and not hidden behind overlays or compression artifacts.
Yes. Upload a `.jpg` or `.jpeg` image, select the OCR language, and extract the text. For the best JPG to text result, use the clearest original image available and avoid repeated compression.
Yes. PNG images are supported. PNG to text often works well for screenshots and interface captures because PNG usually keeps text edges sharper than heavily compressed JPG files.
The upload field accepts JPG/JPEG, PNG, WebP, GIF, BMP, and TIFF images. The tool is built for image files, not PDF documents or Word files.
The language selector includes English, Simplified Chinese, Traditional Chinese, Japanese, Korean, French, German, Spanish, Italian, Portuguese, Russian, Arabic, Hindi, Thai, and Vietnamese.
No. The OCR workflow runs in your browser using client-side processing. Your selected image is used locally on your device to generate the text result.
OCR accuracy depends on image quality, contrast, text size, orientation, language selection, and font clarity. If the result has mistakes, try a sharper image, crop closer to the text, or select a more accurate recognition language.