Image to Text (OCR) Extractor
Snap a photo of book pages, bills, or notes to extract editable text.
Choose a document photo or snap with camera
Initializing Optical Recognition Engine...
Extracted Text
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How Optical Character Recognition (OCR) Works
Optical Character Recognition translates pixel bitmaps of letters, punctuation marks, and numbers into ASCII and Unicode text streams. QuickDocHub executes Tesseract OCR compiled directly to WebAssembly. The engine segments glyph contours, compares structural features against language dictionaries, and renders clean, editable sentences without cloud round-trips.
Improving Recognition Accuracy
- Adequate Lighting: Prevent harsh diagonal shadows across lines of text.
- Resolution: High-resolution camera photos (1080p and above) yield higher OCR accuracy on fine print.
- Text Alignment: Keep lines of text as horizontal as possible to assist column segmentation.