大模型
x.com ·
@Jerry Liu (@jerryjliu0)
LlamaIndex 作者推出 OpenDocRouter：统一文档解析 API
Jerry Liu 发布 OpenDocRouter，一个统一文档解析 API，可调用前沿与开源权重模型将文档转写为 markdown，按成本价提供服务并收取少量交易费，同时处理各模型的速率限制，并提供边界框与版面分析服务。作者称 ParseBench 已收录 130+ 模型，新 OCR 模型上线后会先做基准测试再接入，后续还将加入自动路由等功能。
AI推荐理由 LlamaIndex 作者 Jerry Liu 发布 OpenDocRouter，一个面向文档解析的统一 API，聚合前沿与开源权重模型，按成本价提供转写为 markdown 的服务，并附带边界框与版面分析能力，还计划用 ParseBench 对新 OCR 模型做基准测试后即时接入。这是有具体产品形态和用途的发布信息，对需要批量文档解析的开发者有参考价值；但正文为发布者自述，未提供独立评测、定价细节或实际效果数据，'at-cost' 与'处理大规模流量'等说法缺乏可验证证据，需保留不确定性。
72
浏览 30,494
点赞 409
评论 42
转发 41
正文
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