Read image-based text
Recognise text in scanned pages, screenshots, and image-heavy PDFs that do not contain a usable text layer.
OCR tool
Recover text and structure from scanned, image-based, or difficult PDFs. Clean the extracted content, translate it in LanguageOps, and deliver an editable HTML or DOCX file instead of trapping the result in another image.
Recover usable content
OCR creates the text, but translation teams also need reading order, headings, tables, and usable output. LanguageOps connects extraction and cleanup directly to the language workflow.
Recognise text in scanned pages, screenshots, and image-heavy PDFs that do not contain a usable text layer.
Reconstruct useful reading order and editable structure from multi-column pages, headings, lists, and other complex layouts.
Review OCR results, fix recognition errors, and translate the extracted content with memory, terminology, QA, and human approval.
How it works
Upload
Provide scanned pages, an image-based document, or a complex PDF that needs editable content.
Extract
LanguageOps identifies text and structure, then prepares the result as editable content.
Translate
Review recognition issues, translate the content, and run terminology and quality checks.
Export
Deliver an editable HTML or DOCX output containing the completed translated content.
Designed for difficult source material
The output is prepared for the next stage of work rather than delivered as an unstructured block of recognised text.
Work with documents where columns, sidebars, headers, and visual structure make basic text extraction unreliable.
Let a human correct names, numbers, broken words, and other OCR uncertainties before they propagate into translation.
Move extracted content through translation memory, terminology, AI assistance, review, proofreading, and QA.
Export clean HTML for flexible publishing or DOCX for familiar document editing and client delivery.
Outputs
Included in the suite
The OCR tool and translation workflow are included with LanguageOps. AI-assisted extraction and processing use AI tokens from your account usage.
FAQ
Yes. OCR recognises text in scanned or image-based pages and prepares editable content for correction, translation, and review.
The workflow is designed to recover useful reading order and structure from difficult documents. A human can then review the extracted result before translation.
Yes. The editable result moves into the LanguageOps translation workflow with memory, terminology, AI assistance, review, and QA.
The completed content can be exported as clean HTML or an editable DOCX file.
Test a complex page and see how it moves from OCR through translation to clean editable output.
Book a demo