OCR kinyerő

Több mint 100 nyelv, beleértve az angolt, spanyolt, franciát, németet, hindit, kínait, arabot és még sok mást.

Tiszta beolvasásoknál magas. A pontosság csökken kézírás, alacsony felbontás vagy ferde dokumentumok esetén.

Nem. A Tesseract WASM teljes egészében a böngészőjében fut.

Fájlok feldolgozása a böngésző memóriakorlátjáig.

Igen — a kinyert szöveg rejtett rétegként beágyazódik a kimeneti PDF-be.

Yes — select multiple languages in the language picker (e.g., English + Hindi for bilingual Indian documents, or English + Chinese for translated materials). Tesseract will attempt to recognize text in all selected languages simultaneously. Accuracy may decrease slightly with more languages selected, so only add the languages actually present in your document.

Tesseract is primarily trained on printed fonts. It may recognize clearly written block letters, but cursive handwriting is largely misread. For handwriting OCR, specialized neural networks (Google Cloud Vision HTR, Azure Computer Vision) are needed — these require uploading your document, which contradicts our privacy model.

OCR is computationally intensive: each page is rendered to a high-resolution canvas (~3000×4000 pixels for A4 at 2× scale), then Tesseract analyzes every pixel cluster. In the browser, this takes 3–10 seconds per page depending on your CPU. Keep the browser tab active during processing — backgrounded tabs may be CPU-throttled by the browser. We show real-time per-page progress so you always know what's happening.

Refinata offers three structural advantages: (1) Your document never leaves your device — zero upload, zero server storage, zero privacy risk. (2) We show confidence scores per word and per page — competitors don't. (3) We support 18 languages with multi-language mode — competitors support fewer with 100% cloud processing. The OCR accuracy itself is comparable (both use Tesseract-class engines), but you get full transparency and complete privacy.