OCR Text Recognizer

This OCR tool converts image or PDF content into editable text with multi-language support and layout preservation. It detects text regions, recognizes characters, and outputs either plain text or structured data with block and line boundaries. The system uses modern ML models to handle scanned documents, screenshots, and form-like content, providing per-word confidence scores for quality assessment. It is designed for editors, researchers, data engineers, and content teams who need to digitize legacy documents, index content, or feed data pipelines. The tool emphasizes accuracy, batch processing, and API readiness to integrate into automated workflows. Output formats include UTF-8 encoded text, JSON with positional metadata, or CSV for data analysis. Distinctive value comes from layout-aware extraction, multilingual robustness, and scalable processing across large document sets. Typical use cases include digitizing invoices, academic papers, scanned contracts, and archival material, where preserving structure improves downstream tasks such as translation or indexing.