Optical Character Recognition (OCR) is a powerful technology that turns images of text into actual, editable digital data. Whether you're digitizing a printed contract, extracting notes from a whiteboard, or saving data from a receipt, OCR can save you hours of manual typing.
However, OCR isn't magic. Its accuracy depends heavily on the quality of the input image. In this guide, we'll share the professional techniques to get 100% accurate text extraction every time.
Most "bad" OCR results aren't because of the engine, but because of the image. Common issues include:
Always photograph documents in bright, even light. Avoid using a flash if it creates a "hot spot" or glare on glossy paper. Natural daylight is the best friend of OCR.
Place your document on a flat surface and hold your camera directly above it, parallel to the paper. This prevents distortion and ensures every character is the correct shape for the engine to recognize.
Our tool includes built-in filters. For most documents, checking the "Grayscale" and "High Contrast" options will significantly improve results by making the black text stand out sharply against the white background.
Receipts use thermal printing which fades over time. Flatten them out and use the "Threshold" slider in our tool to darken the faint text until it becomes crisp.
Our engine supports both English and Korean. Ensure you have the right settings active if you're processing bilingual documents to avoid "gibberish" results from character confusion.
Some advanced cloud models can, but local browser-based OCR is currently optimized for printed text. For best results with handwriting, ensure the writing is extremely neat and use high-contrast settings.
No. Since the processing happens on your device, the only limit is your browser's memory. You can process long documents without worry.
Try adjusting the Clean-up Threshold slider in our OCR tab. Sometimes making the image slightly lighter or darker can clear up character confusion.
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