ocr-mcp
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Alternatives to ocr-mcp
No user-submitted related servers found.
Related Servers
- 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.-
- AlicenseAqualityDmaintenanceEnables parsing and extraction of content from various document formats (PDF, Word, Excel, PowerPoint) into Markdown format using the Niutrans document API.15MIT
- FlicenseNot gradedqualityCmaintenanceProvides OCR (Optical Character Recognition) capabilities through MCP, including text extraction and document layout parsing to Markdown. Supports multiple PaddleOCR models like PP-OCRv5, PP-OCRv6, and PP-StructureV3.-
- FlicenseNot gradedqualityDmaintenanceEnables OCR on images and PDFs, including full-page OCR, region OCR by description or bounding box, and caching with summary capabilities.-
- FlicenseNot gradedqualityBmaintenanceEnables conversion between PDF/Office documents and structured JSON, supporting extraction and generation of document content.-
- FlicenseNot gradedqualityDmaintenanceEnables integration between MCP clients and the Handwriting OCR service, allowing users to upload images and PDF documents, check processing status, and retrieve OCR results as Markdown.17-
TDQS
Scored across 7 tools
The tools are well-differentiated: parse_document submits, get_task_status checks status, list_tasks lists, and the three getter tools retrieve different result formats (markdown, content blocks, full result) with clear boundaries.
All tools follow a consistent verb_noun snake_case pattern (e.g., get_markdown, list_tasks, parse_document). Only reprocess_task slightly deviates as a compound verb but still fits the pattern.
With 7 tools, the server covers the essential OCR workflow (submit, status, retrieve results, list, reprocess) without unnecessary redundancy, making the count appropriate for its purpose.
The tool set covers the core lifecycle: submission, status polling, result retrieval in multiple formats, listing, and reprocessing. Minor gaps like deletion or batch operations exist but are non-essential for typical OCR tasks.