Bangla OCR
Recognize Bangla text from scanned documents, printed pages, and photos using OCR.
How to Recognize Bangla Text from a Scan or Photo
- 1
Upload scan
Select a scanned document or photo with Bangla text. PNG, JPG, GIF, BMP, and WebP are supported.
- 2
Wait for OCR
Tesseract.js recognizes text from your scan. This may take 10-30 seconds depending on image size.
- 3
Review text
Recognized text appears in the output. Proofread — OCR is not 100% accurate.
- 4
Copy or download
Copy the text to your clipboard or download it as a .txt file.
- 1
Upload scan
Select a scanned document or photo with Bangla text. PNG, JPG, GIF, BMP, and WebP are supported.
- 2
Wait for OCR
Tesseract.js recognizes text from your scan. This may take 10-30 seconds depending on image size.
- 3
Review text
Recognized text appears in the output. Proofread — OCR is not 100% accurate.
- 4
Copy or download
Copy the text to your clipboard or download it as a .txt file.
Bangla OCR Features
When You Need Bangla OCR
Book & Magazine Scans
Convert scanned pages of Bangla books, magazines, and articles into editable Unicode text without retyping.
Printed Signs & Labels
Recognize Bangla text from photos of street signs, product labels, posters, and printed menus.
Archive Digitization
Digitize old Bangla documents, forms, and printed records into searchable text for digital archives.
Accessibility
Convert printed Bangla text from images into screen-reader-friendly text for visually impaired users.
Understanding OCR Technology
Optical Character Recognition (OCR) converts images of text into machine-readable text. This tool uses Tesseract.js, a JavaScript port of the open-source Tesseract OCR engine originally developed by Hewlett-Packard and now maintained by Google. Tesseract supports over 100 languages including Bengali (Bangla).
OCR accuracy depends heavily on scan quality. For best results, use high-resolution scans (300 DPI or higher) with clear, dark text on a light background. Avoid skewed, blurry, or low-contrast scans. Standard printed fonts produce the best recognition rates — decorative or handwritten text is much harder for OCR to process. For extracting text from digital screenshots or web-captured images, use our Image to Text tool instead. All processing happens in your browser, so your scans stay private.
Common OCR Problems & Fixes
| Problem | Cause | Fix |
|---|---|---|
| OCR accuracy is low — many errors in output | The scan or photo may be low resolution, blurry, have poor contrast, or use a decorative font that Tesseract cannot recognize well. | Use a higher-resolution scan (300 DPI or above) with clear, dark text on a light background. Crop to focus on the text area. Avoid skewed or rotated images — straighten them before uploading. |
| Text near book spine is garbled or missing | Pages scanned from bound books often curve near the spine, distorting the text shape. | Press the book flat when scanning, or crop out the curved area near the spine and scan it separately. You can also try scanning individual pages instead of two-page spreads. |
| OCR takes very long or the page freezes | The scan is very large or your device has limited processing power. | Resize the scan to a smaller resolution before uploading (around 1500-2000px wide is usually sufficient for text recognition). Close other browser tabs to free up memory. |
| Recognized text has extra spaces or broken words | The scan has uneven spacing, ligatures, or decorative elements that confuse the OCR engine. | Crop the image to remove borders and decorative elements. Ensure the text lines are horizontal. After recognition, manually fix spacing issues in the output text. |
Frequently Asked Questions
What is OCR?
OCR (Optical Character Recognition) is a technology that recognizes text within images. It converts images of typed, handwritten, or printed text into machine-encoded text that you can edit, search, and copy.
How accurate is Bangla OCR?
Accuracy depends on image quality, text clarity, and font. High-resolution images with clear, dark text on light backgrounds produce the best results. For standard printed Bangla text, expect 85-95% accuracy. Handwriting and decorative fonts produce lower accuracy.
Is my image uploaded to a server?
No. All OCR processing happens in your browser using Tesseract.js. Your images never leave your device, making this tool safe for sensitive or confidential documents.
What image quality do I need for best results?
Use images with at least 300 DPI resolution, dark text on a light background, and minimal skew or rotation. Avoid blurry, low-contrast, or heavily compressed images. If possible, crop the image to focus on the text area.
Can it recognize handwritten Bangla?
Tesseract.js is trained primarily on printed text. Handwritten Bangla recognition accuracy is significantly lower than printed text. For handwritten content, expect many errors and plan to proofread carefully.
Why does OCR take a long time?
OCR is computationally intensive. The Tesseract.js engine runs in your browser and processes the image pixel by pixel. Large images or pages with lots of text take longer. The first run also downloads the Bangla language data file, which adds to the initial wait time.
What is the difference between Bangla OCR and Image to Text?
Bangla OCR is designed for scanned documents, printed pages, and photos of physical text — it focuses on OCR accuracy for printed Bangla and explains the underlying Tesseract technology in depth. Image to Text is optimized for digital screenshots and web-captured images where the text is already pixel-clear. If your source is a physical scan or a photo of printed material, use Bangla OCR. If you have a screenshot from a phone or computer screen, use Image to Text.
Is this Bangla OCR tool free?
Yes, completely free. No registration, no daily limit, no image count cap. All OCR processing happens in your browser using Tesseract.js — there is no server-side processing. You can use it unlimited times for personal, educational, or commercial work.