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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Jina AI
Jina AI

Jina AI

Founded by Han Xiao in 2020

Convert web pages to markdown and search multimodal data with embeddings and rerankers

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Jina AI to build search applications and feed clean web data directly into language models. Its web reader converts any URL or document into structured Markdown by stripping away unnecessary boilerplate and ads. You can generate multimodal and multilingual embeddings to index complex text and images across dozens of languages. It also provides high-performance reranking models to boost retrieval accuracy in RAG pipelines, alongside optical character recognition tools that turn visual documents, charts, and tables into machine-readable text for downstream analysis.

What Jina AI does

Convert web URLs into LLM-friendly markdown formatGenerate multilingual vector embeddings from text and imagesRerank search documents to maximize semantic relevanceParse complex PDF pages and diagrams with OCR modelsExecute custom JavaScript scripts prior to content extractionConnect AI agents to real-time web search via MCP endpointsPrepend r.jina.ai to fetch clean markdown from any URL for language modelsMultimodal and multilingual text and image embeddingsListwise rerankers to rank search results by semantic relevanceOCR model to convert complex images and structured PDF documents into markdownProxy and cookie forwarding to bypass dynamic website barriersNative Model Context Protocol server support for autonomous AI agents

Pricing breakdown

Pricing model: Book a demo

Frequently asked

OpenAIOpenAI

Used by

Elena

Elena

AI Research Scientist @ CVVS

In their stack
J__Navarro

J__Navarro

SEO Specialist @ NavarroMD

In their stack
Jacob Bourchier

Jacob Bourchier

Startup Founder @ Applied Industrial Technologies

In their stack
Manuel Parra

Manuel Parra

Software Engineer @ Stack

In their stack

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Jina AI, embeddings, reranker, web reader, multimodal search, vector search, RAG, Markdown conversion, OCR, small language models, search AI, semantic search, document parsing