OpenDocRouter推出文档OCR统一API
Jerry Liu推出的OpenDocRouter让你不用再折腾各种OCR模型,一个接口就能用上Opus 5.5等130多种模型,还自动处理限流和计费。
OpenDocRouter提供130+种OCR模型统一接口,包括轻量级模型如MinerU和前沿VLM如Opus 5.5。该平台管理单一API和计费系统,支持批量处理文档转markdown,并提供边界框和布局服务。新模型将在ParseBench基准测试后立即添加到平台。
OpenDocRouter is basically OpenRouter for document OCR You can compare and use all your favorite OCR models under a single API / billing interface. They range from some of the lightweight/OSS models (e.g. MinerU) to the latest frontier VLMs (Opus 5.5) Come check it out! opendocrouter.ai Your browser does not support the video tag. 🔗 View on Twitter Jerry Liu @jerryjliu0 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: opendocrouter.ai Blog: llamaindex.ai/blog/introduci… Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 7 🔄 0 ❤️ 0 👀 514 📊 6 ⚡