Amharic OCR

Extract Amharic text from images using Tesseract.js — drag-and-drop upload, real-time progress bar, confidence score, download as .txt, entirely browser-side.

Upload or drop an image containing printed Amharic text to extract it as editable text using OCR technology.

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Drop an image here

or click to choose a file

JPG, PNG, TIFF, BMP supported

Tips for Best Results

  • • Use high-contrast images — dark text on light background
  • • Printed text works much better than handwriting
  • • Minimum font size: 12pt in the original document
  • • Avoid blurry or skewed images
  • • OCR accuracy varies; always review the extracted text

About the Ethiopian Amharic OCR Tool

This tool uses Tesseract.js, a powerful open-source optical character recognition engine, to extract text from images containing Amharic script. The remarkable feature of this tool is that all processing happens directly in your browser. No image is ever uploaded to any external server, ensuring complete privacy and security for your documents. The Tesseract engine uses the amh language data file specifically trained for Amharic recognition, enabling accurate extraction of Ethiopian Ge'ez script characters from various image sources.

The tool interface provides several helpful features to make the OCR process transparent and manageable. It displays real-time progress as the OCR engine processes your image, giving you visual feedback on how the extraction is proceeding. A confidence score is shown after processing, indicating how certain the engine is about its recognition accuracy. Higher confidence scores suggest more reliable text extraction, while lower scores may indicate areas where the extracted text should be carefully reviewed.

Once text has been successfully extracted, you can download the result as a plain text file with the .txt extension. This makes it easy to save your extracted text for use in other applications, further editing, or archiving. You can start the process by either dragging and dropping an image file directly onto the upload area, or by clicking the upload area to select an image file from your device.

Amharic OCR has many valuable applications in both personal and professional contexts. Researchers can use it for digitizing printed Ethiopian documents and historical records that exist only in printed form. Students can extract text from book scans for easier study and reference. Old Amharic newspapers and magazines can be converted to editable digital format, preserving these valuable historical resources and making them searchable. Libraries and archives can use this technology to make their Amharic collections accessible in searchable digital formats. The ability to transform printed Amharic text into editable digital format opens up many possibilities for research, education, and cultural preservation.

Frequently Asked Questions

Is my image uploaded to a server?
No. All OCR processing happens entirely in your browser using Tesseract.js. Your image never leaves your device.
What image formats are supported?
The tool accepts JPG, PNG, TIFF, and BMP images. For best results, use high-resolution images with clear, dark text on a light background.
How accurate is Amharic OCR?
Accuracy depends on image quality. Clear, well-lit text with consistent sizing typically yields 80–95% accuracy. Handwriting, low contrast, and noisy backgrounds reduce accuracy.
What does the confidence score mean?
The confidence score (0–100%) is Tesseract's self-reported estimate of how certain it is about the extracted text. Scores below 60% suggest the image quality should be improved.

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