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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.
report_problemWe cannot generate an API key because we couldn't verify if you are human. If you believe this is an error, please contact us.
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Use r.jina.ai to read a URL
This will return the main content of the page in clean, LLM-friendly text.
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search
Use s.jina.ai to search a query
This will search the web and returns URLs and contents, each in clean, LLM-friendly text.
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fact_check
Use g.jina.ai for grounding
This will call our grounding engine do fact-checking.
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Experimental
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Read release notearrow_forward
upload
Request
curl https://r.jina.ai/https://example.com
upload
Request (javascript)
fetch('https://r.jina.ai/https://example.com', {
  method: 'GET',
})

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

Reader allows you to feed your LLM with the latest information from the web. Simply prepend https://s.jina.ai/ 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 for fact-checking

The new grounding endpoint offers an end-to-end, near real-time fact-checking experience. It takes a given statement, grounds it using real-time web search results, and returns a factuality score and the exact references used. You can easily ground statements to reduce LLM hallucinations or improve the integrity of human-written content.

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 two ways: RPM (requests per minute) and TPM (tokens per minute). Limits are enforced per IP and can be reached based on whichever threshold—RPM or TPM—is hit first.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keyw/ API Keyw/ Premium API KeyAverage LatencyToken Usage CountingAllowed Request
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankTokenize and segment long textblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM200 RPM1000 RPM4.6sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock40 RPM100 RPM8.7sCount the number of tokens in the output response.GET/POST
Reader APIhttps://g.jina.aiGrounding a statement with web knowledgeblock10 RPM30 RPM22.7sCount the total number of tokens in the whole process.GET/POST
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
bolt
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
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
bolt
depends on the input size
Tokens counted as: input_tokensPOST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Segmenter APIhttps://segment.jina.aiTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST
Don't panic! Every new API key contains one million free tokens!

API Pricing

API pricing is based on token usage - input tokens for standard APIs and output tokens for Reader API. 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.
Auto-recharge when tokens are low
Recommended for uninterrupted service in production. When your token balance is below the threshold you set, we will automatically recharge your credit card for the same amount as your last top-up. If you purchased multiple packs in the last top-up, we will recharge only one pack.
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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 (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 two ways: RPM (requests per minute) and TPM (tokens per minute). Limits are enforced per IP and can be reached based on whichever threshold—RPM or TPM—is hit first.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keyw/ API Keyw/ Premium API KeyAverage LatencyToken Usage CountingAllowed Request
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankTokenize and segment long textblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM200 RPM1000 RPM4.6sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock40 RPM100 RPM8.7sCount the number of tokens in the output response.GET/POST
Reader APIhttps://g.jina.aiGrounding a statement with web knowledgeblock10 RPM30 RPM22.7sCount the total number of tokens in the whole process.GET/POST
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
bolt
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
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
bolt
depends on the input size
Tokens counted as: input_tokensPOST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Segmenter APIhttps://segment.jina.aiTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST
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

FAQ

How to get my API key?

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What's the rate limit?

Rate Limit
Rate limits are tracked in two ways: RPM (requests per minute) and TPM (tokens per minute). Limits are enforced per IP and can be reached based on whichever threshold—RPM or TPM—is hit first.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keyw/ API Keyw/ Premium API KeyAverage LatencyToken Usage CountingAllowed Request
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankTokenize and segment long textblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM200 RPM1000 RPM4.6sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock40 RPM100 RPM8.7sCount the number of tokens in the output response.GET/POST
Reader APIhttps://g.jina.aiGrounding a statement with web knowledgeblock10 RPM30 RPM22.7sCount the total number of tokens in the whole process.GET/POST
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
bolt
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
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
bolt
depends on the input size
Tokens counted as: input_tokensPOST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Segmenter APIhttps://segment.jina.aiTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST

Do I need a commercial license?

CC BY-NC License Self-Check
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Are you using our official API or official images on Azure or AWS?
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Yes
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Are you using a paid API key or free trial key?
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Paid API key
No restrictions. Use as per your current agreement.
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Free API key
Free trial key can be only used for non-commercial purposes. Please purchase a paid package for commercial use.
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Are you using our official model images on AWS and Azure?
No restrictions. Use as per your current agreement.
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No
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Are you using these models?
jina-embeddings-v3
jina-reranker-v2-base-multilingual
jina-colbert-v2
reader-lm-1.5b
reader-lm-0.5b
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No
No restrictions apply.
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Yes
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Is your use commercial?
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Not sure
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Are you:
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Using it for personal or hobby projects?
This is non-commercial. You can use the models freely.
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A for-profit company using it internally?
This is commercial. Contact our sales team.
Contact sales
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An educational institution using it for teaching?
This is typically non-commercial. You can use the models freely.
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A non-profit or NGO using it for your mission?
This is typically non-commercial, but check with us if unsure.
Contact sales
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Using it in a product or service you sell?
This is commercial. Contact our sales team.
Contact sales
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A government entity using it for public services?
This may be commercial. Please contact us for clarification.
Contact sales
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No
You can use the models freely.
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Yes
Contact our sales team for licensing.
Contact sales

Other questions

Reader-related common questions
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
API-related common questions
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Can I use the same API key for embedding, reranking, reader, 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 embedding, reranking, reader 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 'Buy tokens' tab by entering your API key, allowing you to view the usage history and remaining tokens.
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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.
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 or transfer its tokens to a new key, please contact our support team for assistance.
Contact
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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.
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 one million 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.
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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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