OCR Text Recognition extracts editable plain text from images and screenshots so the content can be searched, quoted, or pipelined into other modules for summarization, translation, or analysis. Upload a photo, scanned document, screenshot, or screen capture and the AI scans the entire frame and returns the recognized text in reading order. Common use cases include digitizing paper receipts and invoices for bookkeeping, converting handwritten notes into searchable text, lifting specific paragraphs out of books or papers before sending them to the paper or summary module, turning whiteboard photos into editable meeting-minute drafts, and pasting code or error-message screenshots into the programming module for debugging. Mixed Chinese/English, Traditional/Simplified Chinese, and partial Japanese are supported; very messy handwriting or low-resolution images may degrade accuracy, so a clearer mobile photo or better lighting helps. Output can be copied directly, paired with sc2tc / tc2sc for script conversion, or chained into translate_to_english / translate_to_tc for one-stop digitization-plus-translation.