PDF පරිවර්තනය කරන්න

Copying PDF text into a translation service and then reformatting the result into a new document is a workflow that consumes an afternoon and still produces a document that looks different from the original. Fonts change, columns collapse, images drift. If you need the translated version to look like a professional document — not a paste job — you need a tool that handles both translation and layout simultaneously. Dokk.ai's PDF translation tool extracts text from your document, translates it using neural machine translation, and places the translated text back into the original layout. Columns stay columns. Headers stay headers. Page numbers, footers, and image positions are preserved. The output PDF looks like a professional translation produced by someone who rebuilt the document from scratch — because under the hood, that is exactly what happened. The tool supports over 50 languages spanning major European, Asian, Middle Eastern, and Latin American markets. Right-to-left languages including Arabic and Hebrew are handled correctly with proper text direction and adjusted layout flow. For languages with significantly different character widths (such as translating from English to German, which expands text by roughly 30%), the tool adjusts line spacing and text box sizing to accommodate the longer translated text without overflow. Translation quality is powered by neural machine translation models trained on document-specific corpora — technical documents, legal texts, and business content are handled with better terminology accuracy than general-purpose consumer translators. For highly specialised content such as medical or pharmaceutical documents, a human review of the output is always recommended. For scanned documents without a text layer, run OCR first to extract text, then use translate. This two-step process handles virtually every real-world document type. After translation, the PDF Editor can be used to make manual corrections before the final version is distributed. All document content is encrypted in transit and deleted after processing. Translation requests are not stored or used for model training.