---
title: "Jina AI - Your Search Foundation, Supercharged."
url: https://stacklist.com/card/f566d33b-9c28-4b89-a57f-f9f4bac4f431
source_url: "https://jina.ai"
stack: https://stacklist.com/c/technology/stack/2eea56df-369e-49f9-aeff-faef61d648b0
summary: "Jina AI provides a suite of API services for reading web URLs, searching the web, and extracting content, with configurable parameters for browser engine, content format, CSS selectors, and proxy settings. The platform offers tools like Reader, Embeddings, and Reranker, along with MCP server integration for use with large language models."
tags: "jina-ai, web-scraping, api, search, embeddings, llm, content-extraction"
key_entities: "Jina AI (organization), r.jina.ai (technology), s.jina.ai (technology), mcp.jina.ai (technology), ReaderLM-v2 (technology), OpenAI (technology), HTML-to-Markdown conversion (concept), content extraction (concept)"
classification: "reference"
content_hash: "sha256:45b7d40cd70828764466d4da710f23bd6af021fa41eebbd040204c933c8f3228"
acp_version: "0.2"
token_counts_approximate: 2494
visibility: public
agent_accessible: true
status: "final"
---

# Jina AI - Your Search Foundation, Supercharged.

Your Search Foundation Supercharged. code API cognition Models Contact login key API Key & Billing Reader Embeddings Reranker chevron_left chevron_right home speed Rate Limit bug_report Raise issue help_outline FAQ menu_book Docs arrow_drop_down Status chevron_left chevron_right globe_book Use r.jina.ai to read a URL and fetch its content travel_explore Use s.jina.ai to search the web and get SERP Add mcp.jina.ai as your MCP server to use our APIs in LLMs Parameters arrow_drop_down Add API Key for Higher Rate Limit Enter your Jina API key to access a higher rate limit. For latest rate limit information, please refer to the table below. open_in_new Learn more Browser Engine (Quality/Speed) X-Engine Choose the browser engine for fetching the webpage content. This affects the quality, speed, completeness, accessibility of the content. open_in_new Learn more Default arrow_drop_down Content Format Return-Format You can control the level of detail in the response to prevent over-filtering. The default pipeline is optimized for most websites and LLM input. Default arrow_drop_down JSON Response Accept The response will be in JSON format, containing the URL, title, content, and timestamp (if available). In Search mode, it returns a list of five entries, each following the described JSON structure. Timeout (seconds) X-Timeout Maximum time to wait for page load. Increase for slow pages, decrease for simple static pages. Token Budget X-Token-Budget Limits the maximum number of tokens used for this request. Exceeding this limit will cause the request to fail. Use ReaderLM-v2 Experimental X-Respond-With Uses ReaderLM-v2 for HTML-to-Markdown conversion, delivering high-quality results for websites with complex structures and content. Costs 3x tokens! open_in_new Learn more Extract Only (CSS Selector) X-Target-Selector Only extract content matching these CSS selectors. Example: article, .main-content, #post-body body .class #id Wait For (CSS Selector) X-Wait-For-Selector Wait until these elements appear before extracting content. Useful for dynamically loaded content. body .class #id Exclude (CSS Selector) X-Remove-Selector Remove these elements before extraction. Example: nav, footer, .sidebar, #ads header .class #id Remove All Images X-Retain-Images Strip all images from the output. Reduces token usage when images are not needed. OpenAI Citation Format X-Retain-Links Format links for OpenAI's web browsing tool. Uses special citation markers compatible with GPT models. open_in_new Learn more Links Summary Section X-With-Links-Summary A "Buttons & Links" section is added at the end. This helps downstream LLMs and web agents navigate the page or take further actions. None arrow_drop_down Images Summary Section X-With-Images-Summary An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning. None arrow_drop_down Browser Viewport Size POST viewport Set browser window dimensions. Affects responsive layouts and content visibility. open_in_new Learn more Forward Cookie X-Set-Cookie Our API server can forward your custom cookie settings when accessing the URL, which is useful for pages requiring extra authentication. Note that requests with cookies will not be cached. open_in_new Learn more <cookie-name>=<cookie-value> <cookie-name-1>=<cookie-value>; domain=<cookie-1-domain> Image Caption X-With-Generated-Alt Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing. Use a Proxy Server X-Proxy-Url Our API server can utilize your proxy to access URLs, which is helpful for pages accessible only through specific proxies. open_in_new Learn more Use a Country-Specific Proxy Server X-Proxy Set country code for location-based proxy server. Use 'auto' for optimal selection or 'none' to disable. Bypass Cached Content X-No-Cache Our API caches URL contents for a certain amount of time. Set it to true to ignore the cached result and fetch the content from the URL directly. Cache Tolerance (seconds) X-Cache-Tolerance Accept cached content if younger than N seconds. Set to 0 for fresh content (same as Bypass Cache), or higher values to allow faster responses from cache. Page Ready Timing X-Respond-Timing When to consider a page fully loaded. Later timings wait longer but capture more dynamic content. Default arrow_drop_down Custom User-Agent X-User-Agent Override the browser User-Agent string. Useful for accessing sites that require specific browsers or block crawlers. Custom Referer X-Referer Set the HTTP Referer header. Some sites check this to verify traffic comes from expected sources. Preserve Base64 Images X-Keep-Img-Data-Url Keep inline base64-encoded images in markdown output instead of converting them to external URLs. Do Not Cache or Track DNT Prevent this request from being cached or logged on our servers. Use for sensitive URLs. GitHub Flavored Markdown X-No-Gfm Opt in/out features from GFM (GitHub Flavored Markdown). Enabled arrow_drop_down Stream Mode Accept Stream mode is beneficial for large target pages, allowing more time for the page to fully render. If standard mode results in incomplete content, consider using Stream mode. open_in_new Learn more Customize Browser Locale X-Locale Control the browser locale to render the page. Lots of websites serve different content based on the locale. open_in_new Learn more Respect robots.txt X-Robots-Txt Check robots.txt rules before fetching. Specify which bot name to use for the check. Include iframe Content X-With-Iframe Extract content from embedded iframes. Enable for pages with content loaded in iframes. Include Shadow DOM X-With-Shadow-Dom Extract content from Shadow DOM components. Enable for pages using web components. Use Final URL as Base X-Base Resolve relative URLs using the final destination URL after redirects, instead of the original URL. Local PDF/HTML file POST Use Reader on local PDF and HTML files by uploading them. Only PDF and HTML files are supported. For HTML, also specify a reference URL so related CSS/JS scripts can be parsed correctly. upload Run JavaScript Before Extraction POST Execute custom JS to modify the page before content extraction. Can be inline code or a URL to a script file. open_in_new Learn more Heading Style X-Md-Heading-Style Sets markdown heading format (passed to Turndown). Hash Style arrow_drop_down Horizontal Rule Style X-Md-Hr Defines markdown horizontal rule format (passed to Turndown). Bullet Point Style X-Md-Bullet-List-Marker Sets bullet list marker character (passed to Turndown). * arrow_drop_down Emphasis Style X-Md-Em-Delimiter Defines markdown emphasis delimiter (passed to Turndown). _ arrow_drop_down Strong Emphasis Style X-Md-Strong-Delimiter Sets markdown strong emphasis delimiter (passed to Turndown). ** arrow_drop_down Link Style X-Md-Link-Style Determines markdown link format (passed to Turndown). Inline arrow_drop_down EU Residency Experimental When enabled, infrastructure and data processing for this request are located within the EU. upload Request GET wrap_text content_copy Copy Bash arrow_drop_down curl "https://r.jina.ai/ https://www.example.com " send GET RESPONSE key API key visibility_off content_copy Available tokens 0 sync This is your unique key. Store it securely! For Better Search Our frontier models form the search foundation for high-quality enterprise search and RAG systems. Reader Convert a URL to LLM-friendly input by prepending r.jina.ai . Get started arrow_forward Embeddings Multimodal multilingual embeddings. Get started arrow_forward Reranker Reranker for maximizing search relevance. Get started arrow_forward Our Publications See how our frontier search models were trained from scratch, and check out our latest publications. Meet our team at EMNLP, SIGIR, ICLR, NeurIPS and ICML! arXiv July 20, 2026 jina-reranker-v3.5: An Efficient Listwise Reranker with Hybrid Attention and Self-Distillation SIGIR 2026 May 11, 2026 jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers SIGIR 2026 February 17, 2026 jina-embeddings-v5-text: Task-Targeted Embedding Distillation ICLR 2026 January 22, 2026 Embedding Compression via Spherical Coordinates arXiv December 29, 2025 Vision Encoders in Vision-Language Models: A Survey ICLR 2026 December 04, 2025 Jina-VLM: Small Multilingual Vision Language Model AAAI 2026 October 01, 2025 jina-reranker-v3: Last but Not Late Interaction for Document Reranking NeurIPS 2025 August 31, 2025 Efficient Code Embeddings from Code Generation Models EMNLP 2025 June 24, 2025 jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval ICLR 2025 March 04, 2025 ReaderLM-v2: Small Language Model for HTML to Markdown and JSON ACL 2025 December 17, 2024 AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark ICLR 2025 December 12, 2024 jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images ECIR 2025 September 18, 2024 jina-embeddings-v3: Multilingual Embeddings With Task LoRA SIGIR 2025 September 07, 2024 Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models EMNLP 2024 August 30, 2024 Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever WWW 2025 June 21, 2024 Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models ICML 2024 May 30, 2024 Jina CLIP: Your CLIP Model Is Also Your Text Retriever arXiv February 26, 2024 Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings arXiv October 30, 2023 Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents EMNLP 2023 July 20, 2023 Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models 20 publications in total. auto_stories Read more rss_feed RSS