Image to Text (OCR) Converter
Extract text from images online with Tesseract OCR. Supports 12 languages: English, Vietnamese, Japanese, Korean, Chinese and more.
Extract text from scanned images and screenshots across 12 languages using high-accuracy Tesseract OCR with automatic image cleanup.
Drop an image here to extract text
Supports JPEG, PNG, WebP, BMP, TIFF · Max 20MB per image
How do I use Image to Text (OCR) Converter?
Upload a scanned document, receipt, or screenshot, or click "Load Sample Data" to generate a sample OCR image.
Select the document language (`English`, `Vietnamese`, `Chinese`, `Japanese`, etc.) and run OCR.
Review the extracted text with confidence metrics and copy or download the UTF-8 result.
What features does Image to Text (OCR) Converter offer?
Tesseract LSTM neural network OCR engine (OEM 3) for high accuracy
12 languages: English, Vietnamese, Japanese, Korean, Chinese Simplified/Traditional, French, German, Spanish, Portuguese, Thai, Russian
Automatic image preprocessing: grayscale, sharpen, binary threshold for scanned docs
Confidence score indicator for recognition quality
Editable extracted text output — correct OCR errors before exporting
Download extracted text as .txt file
JPEG, PNG, WebP, BMP, TIFF image support up to 20MB
Files deleted immediately after processing — zero data retention
Tesseract.js LSTM Optical Character Recognition (OCR) Pipeline
Runs a WebAssembly port of Tesseract 5's Long Short-Term Memory (LSTM) recurrent neural network directly in a browser Web Worker.
| Image Input Factor | Optimal Specification | Degraded Input Symptom | Accuracy Impact |
|---|---|---|---|
| Text x-Height Resolution | ≥ 20–30 px per lowercase letter (300 DPI) | < 10 px character height | Drops accuracy from 99% to < 65% |
| Page Skew Angle | 0° – 2° horizontal alignment | > 5° tilted camera photo | Breaks baseline line-segmentation boxes |
| Foreground/Background Contrast | High-contrast dark text on uniform light bg | Shadows, creases, or colored gradients | Otsu thresholding misclassifies background noise |
| Language Traineddata Model | Exact language match (e.g., `vie` for Vietnamese) | Using `eng` on diacritic text | Strips tone marks (`ắ`, `ệ`, `đ`) into ASCII |
Frequently Asked Questions about Image to Text (OCR) Converter
Why does OCR misread `0` (zero) as `O`, or `1` (one) as `l` (lowercase L) and `I`?
In sans-serif fonts like Arial and Helvetica, the glyph bitmaps for `1`, `l`, and `I` are nearly identical. Tesseract's LSTM uses a word-level dictionary DAWG to disambiguate letters in prose, but random serial numbers and invoice codes lack dictionary context.
Why is the first OCR run slightly slower than subsequent scans?
On the first scan, the browser downloads and caches the compressed `.traineddata.gz` neural network weights (`~2–4 MB`) into IndexedDB. All subsequent OCR runs execute immediately from local cache inside a Web Worker.
How can I improve OCR accuracy on smartphone photos of paper receipts?
Crop tightly around the text area, ensure even lighting without harsh shadow lines across the paper, and keep the camera parallel to the page so text baselines remain horizontal (`< 3°` skew).
Does this OCR tool support Vietnamese diacritics and multi-language documents?
Yes. Selecting **Vietnamese (`vie`)** loads the Unicode tone-mark LSTM dictionary so characters like `ă`, `â`, `đ`, `ê`, `ô`, `ơ`, `ư` and all 5 tone marks are recognized accurately.
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