OCR Lab
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- FlicenseNot gradedqualityDmaintenanceEnables OCR on images and PDFs, including full-page OCR, region OCR by description or bounding box, and caching with summary capabilities.-
- FlicenseNot gradedqualityDmaintenanceProvides OCR capabilities to extract text from PDF documents using Tesseract, with support for multiple languages including English and Simplified Chinese.3-
- AlicenseNot gradedqualityDmaintenanceProvides intelligent OCR and PDF processing capabilities that automatically detect whether PDFs contain digital text or scanned images and apply appropriate extraction methods. Supports text extraction, OCR processing, structure analysis, and batch operations.MIT
- FlicenseNot gradedqualityCmaintenanceEnables OCR of scanned PDFs and images, returning searchable PDFs, Markdown, and JSON with block coordinates, with optional proofreading to correct OCR errors. Supports uploads via web console, public URL, or one-time token, and exposes tools for job status, page text, document listing, and deletion.-
- AlicenseNot gradedqualityCmaintenanceProvides OCR capabilities to add searchable text layers to scanned PDFs, with tools to check OCR need, process single files or batch folders, and integrate with Zotero attachment storage.MIT
- AlicenseNot gradedqualityDmaintenanceEnables comprehensive PDF processing including text extraction, image extraction, and OCR capabilities for reading text within images across multiple languages.13MIT
TDQS
Scored across 6 tools
Each tool has a fairly distinct role: pdf_info for metadata, read_page/read_pages for extraction, find for pattern search, words_in for box-scoped word retrieval, read_image for images. The only real overlap is read_page vs read_pages, but the descriptions explicitly clarify that read_pages returns metadata while read_page gives the actual text.
There is a partial read_* convention (read_page, read_pages, read_image) but the remaining tools (pdf_info, find, words_in) break it, mixing noun-phrases and bare verbs. Names are readable and descriptive, but no single predictable pattern holds across the set.
Six tools is a well-scoped set for a PDF/image OCR library, with no redundant or filler entries. Each tool maps to a clear capability without bloat.
Coverage spans metadata, single/multi-page reading, image OCR, pattern search, and box-level word extraction, which handles most OCR workflows. Minor gaps exist, such as no explicit export/save output or a tool to force/refresh OCR on a text-less page.