Image to Text Converter

Purpose & User Intent: The tool performs optical character recognition to extract text from user-supplied images. It is used by researchers, students, editors, and archivists who need editable text from receipts, scans, screenshots, or posters. Core Logic & Features: It applies OCR with optional preprocessing and language handling. Required features include image input and language settings; advanced options add deskew, contrast enhancement, and bounding box metadata. Inputs & Outputs: Inputs include image (required, image/*, sample: receipt.jpg), language (optional, ISO 639-1 code or name, sample: eng), output_format (optional, plain_text or structured_json). Outputs include text (string, newline-delimited), language_detected (string), confidence (0-1), and length_chars (number). Optional structured_output provides blocks with text and coordinates. Algorithms & Calculations: OCR engine selects models by language, performs auto-detection when language is not provided, and applies post-processing to normalize whitespace and hyphenation. It optionally preserves basic layout cues. Error & Edge Cases: Missing or invalid image yields an error; very large files may be chunked; low confidence can result in flagged text or trimmed output; text in handwriting is less reliably recognized. Industry/Region & Localization: Supports Latin-script languages; uses ISO codes and allows multilingual processing. Privacy considerations include optional on-device processing and configurable data retention. Assumptions & Exclusions: Assumes printed or clearly legible text; handwriting, cursive, or heavily stylized fonts are less reliable; not a form-extraction tool without explicit layout parsing; no guarantees of 100% accuracy.