Tesseract OCR

OCR It is a Chrome and Firefox browser extension for extracting text from paginated document viewers, including scanned books, slide decks, PDFs, and embedded readers where text selection is unavailable. Users select a screen region, capture it with a hotkey, and append the locally generated OCR result to an ordered transcript; an automatic mode captures each page, advances the viewer, and stops when text repeats, paging fails, OCR fails, or a page limit is reached. OCR runs offline through a bundled Tesseract build without outbound requests, API calls, or image uploads. The extension crops, optionally enlarges, and converts the visible region to grayscale, queues OCR jobs serially, stores page text and verification thumbnails, flags consecutive duplicate pages, and exports the transcript as copied text or a TXT file with page separators. Page turning can use a picked screen point or keyboard event, including controls inside supported frames and shadow roots. It uses narrowly scoped browser permissions, relying on activeTab for single captures and requesting an additional site grant for automatic runs that persist across page loads or turn pages inside cross-origin iframes.

Umi-OCR is free, open-source, offline OCR software for Windows 7 x64 and later. It recognizes text from screenshots, pasted images, batches of local images, and PDF documents, and can save batch results as TXT, JSONL, Markdown, or CSV files. Its OCR post-processing can merge lines into natural paragraphs, preserve code-block indentation, handle vertical text, and ignore configured rectangular regions such as watermarks or logos. It also includes screenshot, image, and drag-and-drop scanning for QR codes and barcodes, plus QR-code generation. The application can switch between OCR engines through plugins and provides command-line and HTTP API interfaces. The release is distributed as a portable archive or self-extracting archive, requiring no installation or network connection to run. The project is hosted on GitHub and supports multiple interface languages and themes.

AWS Textract is a traditional OCR pipeline used as a baseline for measuring document parsing quality, particularly table extraction and layout fidelity.

LiteParse is an open-source, standalone document parser from LlamaIndex focused on fast, local parsing of PDFs and other documents without proprietary LLM features or cloud dependencies. Its Rust-based pipeline converts Office files and images to PDF when needed, extracts native text with PDFium, optionally applies Tesseract or an HTTP OCR service, merges the results, and reconstructs spatial layout using text positions and bounding boxes. It can output Markdown, JSON, or layout-preserved plain text, generate page screenshots, detect documents that need OCR or heavier processing, and expose classified layout blocks such as headings, paragraphs, lists, tables, code, and figures; the JSON representation can include per-cell table coordinates and other opt-in PDF metadata. LiteParse is distributed through CLI, Rust, Python, Node.js/TypeScript, and browser WebAssembly packages, and is licensed under Apache 2.0.