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Extract text from images and PDFs with Yandex Vision OCR.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "yandex-vision-ocr-mcp" yet — see the docs or source repo.
Use yandex-vision-ocr-mcp to recognize the text in this scanned PDF and return it in a structured text format.
Text extracted from the PDF pages, organized in the selected output format.
Process this image with yandex-vision-ocr-mcp, recognize the text in it, and return the result using an appropriate recognition model.
OCR text output from the image, formatted according to the selected model and output format.
Use the different recognition models supported by this tool on the same document and return each output for comparison.
OCR outputs for the same document from different recognition models, making comparison easier.
Developers or office workers can extract text from images and PDFs for downstream organization, search, or processing. It is useful for scanned files, screenshots, and image-based documents.
Teams automating document handling can add this MCP tool to their workflows and use the Yandex Vision API for OCR. It supports multiple recognition models and output formats for different process needs.
Researchers or students can capture text from photos, screenshots, or other image-based materials. This reduces manual transcription and improves organization efficiency.
It is an MCP tool that provides OCR for images and PDFs through the Yandex Vision API. It supports multiple recognition models and output formats.
Based on the provided description, it can process images and PDF files. For exact file requirements and limits, see the source repository.
It is known to rely on the Yandex Vision API, so related API access is typically required. For installation steps, credential setup, and runtime requirements, see the source repository.
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