Run GLM-OCR, DeepSeek-OCR-2, and dots.mocr with an OpenAI Compatible API
Open-weight OCR VLMs have gotten good enough that frontier APIs are usually the wrong default for document parsing. We put DeepSeek-OCR-2, GLM-OCR, dots.mocr, PaddleOCR-VL, and PP-OCRv6 behind one OpenAI-compatible endpoint so you can swap models with a one-line change and compare cost/accuracy on your own docs.
Best of all, it's dirt-cheap - you can process roughly 100K pages for under $60.
Here's a colab if you want to try it on a PDF: https://colab.research.google.com/drive/1RkuVIyuc5Po-UlcSlFyJCam5tjCm9IHM?usp=sharing
For API integrations into your workflows, use JSON mode with a strongly typed output contract. For agents, we ship an MCP server at https://gateway.vlm.run/mcp with a read_document tool that provides the same cost-efficient parsing, especially for long-form documents. Any MCP-compatible client (Claude Code, Codex, OpenCode, and others) can now consume long-form documents natively and cost-effectively.
- Docs: https://docs.vlm.run/gateway
- Catalog: https://docs.vlm.run/gateway/models
- MCP: https://docs.vlm.run/gateway/mcp-server
If you're interested in seeing specific models hosted, comment below.