About Jina AI
Jina AI offers a set of APIs for search and AI applications. Its tools cover embeddings, reranking, web reading and web search, and they are called over HTTP.
What it does
The reader API turns a web address into clean text that a model can use. The search API returns web results for a query. Embedding and reranker models help applications find and order the most relevant content. Requests can be tuned with options for page load time, output format, token limits and the browser engine used to fetch a page. Jina also provides an MCP server so AI tools can call these APIs.
Key features
- Read a web page and return clean content
- Search the web and get structured results
- Generate text embeddings for search
- Rerank results for better relevance
- Connect through an MCP server
Who it's for
The APIs suit developers and search teams who need web content or embeddings inside their own products. Teams that need only a few web pages may prefer a simpler scraper.
Pricing and good to know
Use of the APIs is tied to an API key, and the site describes rate limits that grow with a higher key tier. Usage is measured in tokens, and some options, such as OCR, use noticeably more of them. Check the current rate limit and billing table before you plan a large job.
Highlights
- Read a web page and return clean content
- Search the web and get structured results
- Generate text embeddings for search
- Rerank results for better relevance
- Connect through an MCP server
