Today I’m excited to introduce OpenDocRouter - a unified API for document parsing with the latest frontier and open-weight models. There are a lot of VLMs and OCR models that can be used for document parsing: we have over 130+ models on ParseBench, and a HuggingFace search for “ocr” turns up thousands of results. It’s extremely time consuming to choose between OCR vendors. You need to figure out the right prompts, handle rate limits, manage deployments, integrations with all models you’re using, and benchmark new models as they come out. OpenDocRouter provides a comprehensive, transparent set of models along the price-performance frontier. It manages a unified API to transcribe documents to markdown. It serves all frontier and open-weight models “at-cost”, with a small transaction cut. It handles rate limits with all models to ensure you can put massive volume through. It even offers bounding boxes and layout as a service, so that you can add grounding to any model that you’re using. When new OCR candidate models ship, we will benchmark them on ParseBench and immediately add them to OpenDocRouter. We’re adding a lot more models very quickly, and also adding some extremely exciting feature improvements (e.g. automated routing) as we speak. We welcome your feedback! Check it out: https://www.opendocrouter.ai/ Blog: https://www.llamaindex.ai/blog/introducing-opendocrouter