A clear local workflow
How to extract text from an image
Choose an image, identify its printed language, and select the processing mode that fits the image and your device.
Which of the three modes?
Default starts fastest for clear screenshots. Best uses higher-accuracy language data without changing the image. Best + Preprocess uses the Best data after locally enlarging small images, converting them to grayscale, and stretching contrast, then performs conservative text cleanup.
What local processing means
Tesseract.js and its WebAssembly core are served from NoUpload App. The chosen language file comes from the dedicated NoUpload App model host. Your image is read from browser memory and is not uploaded with those requests.
Recommended computer
Default works best with a current 64-bit browser, a dual-core CPU, and at least 4 GB RAM. For Best, use 8 GB RAM and four logical CPU cores. For Best + Preprocess, 8 GB is the practical minimum, while 16 GB RAM and four or more modern CPU cores are recommended. A dedicated GPU is not required.
Image and browser limits
For Best + Preprocess, keep images near 12 megapixels or below for smoother work. Very large photos can use hundreds of megabytes of temporary browser memory. Phones and low-memory tablets should use Default with a cropped image. Keep the tab open until processing finishes.
What automatic correction can and cannot do
The final cleanup fixes a small set of characteristic OCR substitutions, broken word joins, spacing, and punctuation. For Chinese, it focuses on incorrect spaces between Han characters and nearby punctuation. It is not a full dictionary, grammar checker, translator, or factual verifier, so always review names, codes, prices, and dates.
Accuracy limitations
Tesseract is primarily for printed text. Handwriting, curved pages, glare, shadows, perspective distortion, decorative fonts, tiny characters, multi-column reading order, tables, formulas, and mixed-language pages can still produce errors. Automatic enhancement cannot recreate detail that is missing from the original image.