iOS File Extractor

Purpose: This tool extracts content from documents by performing format recognition, text extraction, and optional OCR. It accepts PDFs, Word, PowerPoint, text, and image formats; for image‑based content, OCR is used to recover text. It returns text blocks, page structure hints, and metadata like author and creation date. It is designed for iOS users and developers integrating document workflows in offline or online environments.
Processing flow: detect format, extract textual content via canonical parsers, apply OCR when necessary, collect metadata, and assemble outputs in the requested format. Example: input report.pdf yields extracted_text for all pages, metadata with author and creation date, and embedded_images with references. The output can be downloaded as JSON or TXT for reuse in search indexes or data pipelines.
Audience and differentiators: suited for developers building data pipelines, researchers performing literature reviews, and operations teams digitizing paper archives. Unique differentiators include offline processing on-device in select deployments, strong privacy controls, support for OCR in multiple languages, and extraction of embedded assets like images and tables with minimal formatting loss.
Core features include: input_file, output_format, include_metadata, languages, OCR_languages, and batch processing. Optional features enable preserving page order, exporting to structured JSON, and controlling output size. The tool emphasizes accuracy, speed, and privacy for iOS‑centric workflows.