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VLM Run Gateway: Run GLM-OCR, DeepSeek-OCR-2, dots.mocr with an OpenAI Compatible API

Blog post from Hugging Face

Post Details
Company
Date Published
Author
Chukwuma Nwaugha and Sudeep Pillai
Word Count
648
Company Posts That Month
74
Language
-
Hacker News Points
-
Post removed?
No
Summary

VLM Run Gateway is presented as an OpenAI-compatible service for running open-weight OCR and vision-language models, including GLM-OCR, DeepSeek-OCR-2, dots.mocr, PaddleOCR-VL, and PP-OCRv6, through a single API. It aims to reduce the cost and operational complexity of document parsing by handling PDF rasterization, page distribution, ordering, streaming, retries, and memory failures, while allowing teams to switch models without rebuilding their workflows. The service supports structured JSON outputs for API integrations and an MCP server that enables compatible AI agents to read documents. Its authors argue that open-weight models can often handle OCR, extraction, layout analysis, and parsing at substantially lower cost than frontier VLM APIs, though frontier models remain preferable for more open-ended reasoning tasks. Because performance varies by document type, language, scan quality, and layout complexity, users are encouraged to evaluate multiple models on their own production documents, with cost data included in each response and a public accuracy leaderboard planned.

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