Extract editable text from photos, scans and screenshots. Your image is processed privately in your browser.
Turn text in photos, screenshots and scanned documents into editable text without typing it again. EKO24.NET Image to Text supports English, French and Arabic and works directly in your browser.
Use the OCR language selector to extract Arabic text from images, convert French images to editable text, or recognize English text from photos and screenshots. Mixed-language options are also available for images that contain Arabic, French and English together.
Use a clear, well-lit image with straight text and good contrast. Crop unnecessary areas before starting. Very small, blurry, handwritten or decorative text may require manual correction.
The selected image is processed locally on your device and is not uploaded to eko24.net. OCR language files may be downloaded when you start the tool. For a cleaner scan, use the Image Cropper before extracting text.
Yes. Select Arabic or a combined Arabic language option before starting the extraction.
Yes. The result appears in an editable text box, so you can correct it before copying or downloading.
No. Accuracy depends on image quality, font, language and layout. Always review important text.
Image-to-text conversion can save time when information is trapped inside screenshots, photographed notes, printed pages, receipts or scanned documents. After extraction, the text can be copied into a document, searched, edited or saved as a plain TXT file instead of being typed again manually.
OCR results depend on the quality and structure of the source image. Clear printed characters, good lighting, high contrast and a straight page generally improve recognition. Motion blur, shadows, handwriting, decorative fonts, very small letters and mixed-language layouts can reduce accuracy. Always review important names, numbers and punctuation after extraction.
Selecting the language that matches the visible text helps the recognition engine interpret characters and words more accurately. If an image contains several languages, try the dominant language first and review the result manually. Cropping unrelated graphics or empty margins can also help focus recognition on the useful text.