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Search, read and reason until best answer found.
Reader
Convert any URL to Markdown for better grounding LLMs.
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World-class multimodal multilingual embeddings.
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World-class reranker for maximizing search relevancy.
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Zero-shot and few-shot classification for image and text.
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Cut long text into chunks and do tokenization.
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Reader

Convert a URL to LLM-friendly input, by simply adding r.jina.ai in front.

Reader API

Convert a URL to LLM-friendly input, by simply adding r.jina.ai in front.
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Use r.jina.ai to read a URL and fetch its content
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Use s.jina.ai to search the web and get SERP
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Request
GET
curl "https://r.jina.ai/https://example.com"

ReaderLM v2: Small Language Model for HTML to Markdown and JSON

ReaderLM-v2 is a 1.5B parameter language model specialized in HTML-to-Markdown conversion and HTML-to-JSON extraction. It supports documents up to 512K tokens across 29 languages and offers 20% higher accuracy compared to its predecessor.
Read Release Notearrow_forward

What is Reader?

Feeding web information into LLMs is an important step of grounding, yet it can be challenging. The simplest method is to scrape the webpage and feed the raw HTML. However, scraping can be complex and often blocked, and raw HTML is cluttered with extraneous elements like markups and scripts. The Reader API addresses these issues by extracting the core content from a URL and converting it into clean, LLM-friendly text, ensuring high-quality input for your agent and RAG systems.
Raw HTML
Reader Output

Reader for web search and SERP

Reader can be used as SERP API. It allows you to feed your LLM with the content behind the search results engine page. Simply prepend https://s.jina.ai/?q= to your query, and Reader will search the web and return the top five results with their URLs and contents, each in clean, LLM-friendly text. This way, you can always keep your LLM up-to-date, improve its factuality, and reduce hallucinations.
info Please note that unlike the demo shown above, in practice you do not search the original question on the web for grounding. What people often do is rewrite the original question or use multi-hop questions. They read the retrieved results and then generate additional queries to gather more information as needed before arriving at a final answer.

Reader also reads images!

Images on the webpage are automatically captioned using a vision language model in the reader and formatted as image alt tags in the output. This gives your downstream LLM just enough hints to incorporate those images into its reasoning and summarizing processes. This means you can ask questions about the images, select specific ones, or even forward their URLs to a more powerful VLM for deeper analysis!

Reader also reads PDFs!

Yes, Reader natively supports PDF reading. It's compatible with most PDFs, including those with many images, and it's lightning fast! Combined with an LLM, you can easily build a ChatPDF or document analysis AI in no time.
open_in_newOriginal PDF
open_in_newReader Result

The best part? It's free!

Reader API is available for free and offers flexible rate limit and pricing. Built on a scalable infrastructure, it offers high accessibility, concurrency, and reliability. We strive to be your preferred grounding solution for your LLMs.
Rate Limit
Rate limits are tracked in three ways: RPM (requests per minute), and TPM (tokens per minute). Limits are enforced per IP/API key and will be triggered when either the RPM or TPM threshold is reached first. When you provide an API key in the request header, we track rate limits by key rather than IP address.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keykey_offw/ API Keykeyw/ Premium API KeykeyAverage LatencyToken Usage CountingAllowed Request
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM500 RPMtrending_up5000 RPM7.9sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock100 RPMtrending_up1000 RPM2.5sEvery request costs a fixed number of tokens, starting from 10000 tokensGET/POST
DeepSearchhttps://deepsearch.jina.ai/v1/chat/completionsReason, search and iterate to find the best answerblock50 RPM500 RPM56.7sCount the total number of tokens in the whole process.POST
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPMtrending_up2,000 RPM & 5,000,000 TPM
ssid_chart
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankRank documents by queryblock500 RPM & 1,000,000 TPMtrending_up2,000 RPM & 5,000,000 TPM
ssid_chart
depends on the input size
help
Count the number of tokens in the input request.POST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Classifier API (Few-shot)https://api.jina.ai/v1/classifyClassify inputs using a trained few-shot classifierblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokensPOST
Classifier API (Zero-shot)https://api.jina.ai/v1/classifyClassify inputs using zero-shot classificationblock200 RPM & 500,000 TPM1,000 RPM & 3,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
Segmenter APIhttps://api.jina.ai/v1/segmentTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST
Don't panic! Every new API key contains ten millions free tokens!

API Pricing

API pricing is based on the token usage. One API key gives you access to all search foundation products.
With Jina Search Foundation API
The easiest way to access all of our products. Top-up tokens as you go.
Top up this API key with more tokens
Depending on your location, you may be charged in USD, EUR, or other currencies. Taxes may apply.
Please input the right API key to top up
Understand the rate limit
Rate limits are the maximum number of requests that can be made to an API within a minute per IP address/API key (RPM). Find out more about the rate limits for each product and tier below.
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Rate Limit
Rate limits are tracked in three ways: RPM (requests per minute), and TPM (tokens per minute). Limits are enforced per IP/API key and will be triggered when either the RPM or TPM threshold is reached first. When you provide an API key in the request header, we track rate limits by key rather than IP address.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keykey_offw/ API Keykeyw/ Premium API KeykeyAverage LatencyToken Usage CountingAllowed Request
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM500 RPMtrending_up5000 RPM7.9sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock100 RPMtrending_up1000 RPM2.5sEvery request costs a fixed number of tokens, starting from 10000 tokensGET/POST
DeepSearchhttps://deepsearch.jina.ai/v1/chat/completionsReason, search and iterate to find the best answerblock50 RPM500 RPM56.7sCount the total number of tokens in the whole process.POST
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPMtrending_up2,000 RPM & 5,000,000 TPM
ssid_chart
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankRank documents by queryblock500 RPM & 1,000,000 TPMtrending_up2,000 RPM & 5,000,000 TPM
ssid_chart
depends on the input size
help
Count the number of tokens in the input request.POST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Classifier API (Few-shot)https://api.jina.ai/v1/classifyClassify inputs using a trained few-shot classifierblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokensPOST
Classifier API (Zero-shot)https://api.jina.ai/v1/classifyClassify inputs using zero-shot classificationblock200 RPM & 500,000 TPM1,000 RPM & 3,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
Segmenter APIhttps://api.jina.ai/v1/segmentTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST

FAQ

What are the costs associated with using the Reader API?
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The Reader API is free of charge and does not require an API key. Simply prepend 'https://r.jina.ai/' to your URL.
How does the Reader API function?
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The Reader API uses a proxy to fetch any URL, rendering its content in a browser to extract high-quality main content.
Is the Reader API open source?
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Yes, the Reader API is open source and available on the Jina AI GitHub repository.
What is the typical latency for the Reader API?
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The Reader API generally processes URLs and returns content within 2 seconds, although complex or dynamic pages might require more time.
Why should I use the Reader API instead of scraping the page myself?
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Scraping can be complicated and unreliable, particularly with complex or dynamic pages. The Reader API provides a streamlined, reliable output of clean, LLM-ready text.
Does the Reader API support multiple languages?
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The Reader API returns content in the original language of the URL. It does not provide translation services.
What should I do if a website blocks the Reader API?
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If you experience blocking issues, please contact our support team for assistance and resolution.
Can the Reader API extract content from PDF files?
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Yes, the Reader API can natively extract content from PDF files.
Can the Reader API process media content from web pages?
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Currently, the Reader API does not process media content, but future enhancements will include image captioning and video summarization.
Is it possible to use the Reader API on local HTML files?
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No, the Reader API can only process content from publicly accessible URLs.
Does Reader API cache the content?
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If you request the same URL within 5 minutes, the Reader API will return the cached content.
Can I use the Reader API to access content behind a login?
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Unfortunately not.
Can I use the Reader API to access PDF on arXiv?
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Yes, you can either use the native PDF support from the Reader (https://r.jina.ai/https://arxiv.org/pdf/2310.19923v4) or use the HTML version from the arXiv (https://r.jina.ai/https://arxiv.org/html/2310.19923v4)
How does image caption work in Reader?
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Reader captions all images at the specified URL and adds `Image [idx]: [caption]` as an alt tag (if they initially lack one). This enables downstream LLMs to interact with the images in reasoning, summarizing etc.
What is the scalability of the Reader? Can I use it in production?
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The Reader API is designed to be highly scalable. It is auto-scaled based on the real-time traffic and the maximum concurrency requests is now around 4000. We are maintaining it actively as one of the core products of Jina AI. So feel free to use it in production.
What is the rate limit of the Reader API?
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Please find the latest rate limit information in the table below. Note that we are actively working on improving the rate limit and performance of the Reader API, the table will be updated accordingly.
speedRate limit
What is Reader-LM? How can I use it?
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Reader-LM is a novel small language model (SLM) designed for data extraction and cleaning from the open web. It converts raw, noisy HTML into clean markdown, drawing inspiration from Jina Reader. With a focus on cost-efficiency and small model size, Reader-LM is both practical and powerful. It is currently available on AWS, Azure, and GCP marketplaces. If you have specific requirements, please contact us at sales AT jina.ai.
launchAWS SageMakerlaunchGoogle CloudlaunchMicrosoft Azure

How to get my API key?

video_not_supported

What's the rate limit?

Rate Limit
Rate limits are tracked in three ways: RPM (requests per minute), and TPM (tokens per minute). Limits are enforced per IP/API key and will be triggered when either the RPM or TPM threshold is reached first. When you provide an API key in the request header, we track rate limits by key rather than IP address.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keykey_offw/ API Keykeyw/ Premium API KeykeyAverage LatencyToken Usage CountingAllowed Request
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM500 RPMtrending_up5000 RPM7.9sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock100 RPMtrending_up1000 RPM2.5sEvery request costs a fixed number of tokens, starting from 10000 tokensGET/POST
DeepSearchhttps://deepsearch.jina.ai/v1/chat/completionsReason, search and iterate to find the best answerblock50 RPM500 RPM56.7sCount the total number of tokens in the whole process.POST
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPMtrending_up2,000 RPM & 5,000,000 TPM
ssid_chart
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankRank documents by queryblock500 RPM & 1,000,000 TPMtrending_up2,000 RPM & 5,000,000 TPM
ssid_chart
depends on the input size
help
Count the number of tokens in the input request.POST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Classifier API (Few-shot)https://api.jina.ai/v1/classifyClassify inputs using a trained few-shot classifierblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokensPOST
Classifier API (Zero-shot)https://api.jina.ai/v1/classifyClassify inputs using zero-shot classificationblock200 RPM & 500,000 TPM1,000 RPM & 3,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
Segmenter APIhttps://api.jina.ai/v1/segmentTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST
API-related common questions
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Can I use the same API key for reader, embedding, reranking, classifying and fine-tuning APIs?
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Yes, the same API key is valid for all search foundation products from Jina AI. This includes the reader, embedding, reranking, classifying and fine-tuning APIs, with tokens shared between the all services.
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Can I monitor the token usage of my API key?
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Yes, token usage can be monitored in the 'API Key & Billing' tab by entering your API key, allowing you to view the recent usage history and remaining tokens. If you have logged in to the API dashboard, these details can also be viewed in the 'Manage API Key' tab.
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What should I do if I forget my API key?
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If you have misplaced a topped-up key and wish to retrieve it, please contact support AT jina.ai with your registered email for assistance. It's recommended to log in to keep your API key securely stored and easily accessible.
Contact
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Do API keys expire?
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No, our API keys do not have an expiration date. However, if you suspect your key has been compromised and wish to retire it, please contact our support team for assistance. You can also revoke your key in the API Key Management dashboard.
Contact
code
Can I transfer tokens between API keys?
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Yes, you can transfer tokens from a premium key to another. After logging into your account on the API Key Management dashboard, use the settings of the key you want to transfer out to move all remaining paid tokens.
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Can I revoke my API key?
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Yes, you can revoke your API key if you believe it has been compromised. Revoking a key will immediately disable it for all users who have stored it, and all remaining balance and associated properties will be permanently unusable. If the key is a premium key, you have the option to transfer the remaining paid balance to another key before revocation. Notice that this action cannot be undone. To revoke a key, go to the key settings in the API Key Management dashboard.
code
Why is the first request for some models slow?
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This is because our serverless architecture offloads certain models during periods of low usage. The initial request activates or 'warms up' the model, which may take a few seconds. After this initial activation, subsequent requests process much more quickly.
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Is user input data used for training your models?
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We adhere to a strict privacy policy and do not use user input data for training our models. We are also SOC 2 Type I and Type II compliant, ensuring high standards of security and privacy.
Billing-related common questions
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Is billing based on the number of sentences or requests?
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Our pricing model is based on the total number of tokens processed, allowing users the flexibility to allocate these tokens across any number of sentences, offering a cost-effective solution for diverse text analysis requirements.
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Is there a free trial available for new users?
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We offer a welcoming free trial to new users, which includes ten millions tokens for use with any of our models, facilitated by an auto-generated API key. Once the free token limit is reached, users can easily purchase additional tokens for their API keys via the 'Buy tokens' tab.
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Are tokens charged for failed requests?
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No, tokens are not deducted for failed requests.
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What payment methods are accepted?
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Payments are processed through Stripe, supporting a variety of payment methods including credit cards, Google Pay, and PayPal for your convenience.
attach_money
Is invoicing available for token purchases?
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Yes, an invoice will be issued to the email address associated with your Stripe account upon the purchase of tokens.
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