Access Transkribus document collections, perform handwritten text recognition (HTR) and OCR, and manage transcription models via REST API. Built for developers integrating document digitization and text extraction into applications.
io.github.lazyants/transkribus
Local install
STDIO
No auth required
How models use it and what it is built for.
Access Transkribus document collections, perform handwritten text recognition (HTR) and OCR, and manage transcription models via REST API. Built for developers integrating document digitization and text extraction into applications.
Local install — runs as a subprocess.
Where to find authoritative docs and source for Lazyants Transkribus.
Paste any of these into Agent Studio after connecting Lazyants Transkribus.
Common questions about connecting and running Lazyants Transkribus.
What is Transkribus and why would I use this MCP server?
Transkribus is a platform for document digitization, handwritten text recognition (HTR), and OCR. This MCP server exposes its REST API, letting you programmatically manage collections, upload documents, run recognition models, and retrieve results without building API calls manually.
Do I need a Transkribus account to use this server?
Yes, you need valid Transkribus credentials to authenticate. The server communicates with the Transkribus REST API, so you must have an active account and appropriate API access permissions.
What authentication method does this server use?
The server connects to the Transkribus REST API; check the Transkribus documentation for required credentials (typically API key or username/password). Environment variables or configuration will be needed to pass credentials securely.
Can I use this server to batch process multiple documents?
Yes, the server exposes document and HTR/OCR endpoints, so you can script batch uploads and model runs. Refer to the Transkribus API documentation for rate limits and job queue behavior.
What happens if a transcription job fails or times out?
You can query job status via the API. Long-running HTR/OCR jobs may be asynchronous; check the Transkribus REST API docs for polling patterns and error handling best practices.
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