News
Models
Products
keyboard_arrow_down
Reader
Convert any URL to Markdown for better grounding LLMs.
Embeddings
World-class multimodal multilingual embeddings.
Reranker
World-class neural retriever for maximizing search relevancy.
Classifier
Zero-shot and few-shot classification for image and text.
Segmenter
Cut long text into chunks and do tokenization.
API Docs
Auto codegen for your copilot IDE or LLM
open_in_new
Company
keyboard_arrow_down
About us
Contact sales
Intern program
Join us
open_in_new
Download logo
open_in_new
Terms & Conditions
Log in
login

Reader
celebration ReaderLM-v2 release!

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.
key
API Key & Billing
code
Usage
more_horiz
More
chevron_leftchevron_right
home
Auto preview
forum Raise issue
help_outlineFAQ
Status
chevron_leftchevron_right
double_arrow
Use r.jina.ai to read a URL
This will return the main content of the page in clean, LLM-friendly text.
keyboard_arrow_down
arrow_downward
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.
keyboard_arrow_down
arrow_downward
fact_check
Use g.jina.ai for grounding
This will call our grounding engine do fact-checking.
science
Experimental
keyboard_arrow_down
arrow_downward
Read release notearrow_forward
upload
Request
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

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/API key and can be reached based on whichever threshold—RPM or TPM—is hit first. Note, when API key is provided in the request, rate limits are tracked per key, not per IP address.
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.
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.
keyboard_arrow_down
Rate Limit
Rate limits are tracked in two ways: RPM (requests per minute) and TPM (tokens per minute). Limits are enforced per IP/API key and can be reached based on whichever threshold—RPM or TPM—is hit first. Note, when API key is provided in the request, rate limits are tracked per key, not per IP address.
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

FAQ

How to get my API key?

video_not_supported

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/API key and can be reached based on whichever threshold—RPM or TPM—is hit first. Note, when API key is provided in the request, rate limits are tracked per key, not per IP address.
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
play_arrow
Are you using our official API or official images on Azure or AWS?
play_arrow
done
Yes
play_arrow
Are you using a paid API key or free trial key?
play_arrow
done
Paid API key
No restrictions. Use as per your current agreement.
play_arrow
info
Free API key
Free trial key can be only used for non-commercial purposes. Please purchase a paid package for commercial use.
play_arrow
Are you using our official model images on AWS and Azure?
No restrictions. Use as per your current agreement.
play_arrow
close
No
play_arrow
Are you using these models?
jina-clip-v2
jina-embeddings-v3
jina-reranker-v2-base-multilingual
jina-colbert-v2
reader-lm-1.5b
reader-lm-0.5b
ReaderLM-v2
play_arrow
close
No
No restrictions apply.
play_arrow
done
Yes
play_arrow
Is your use commercial?
play_arrow
question_mark
Not sure
play_arrow
Are you:
play_arrow
Using it for personal or hobby projects?
This is non-commercial. You can use the models freely.
play_arrow
A for-profit company using it internally?
This is commercial. Contact our sales team.
Contact sales
play_arrow
An educational institution using it for teaching?
This is typically non-commercial. You can use the models freely.
play_arrow
A non-profit or NGO using it for your mission?
This is typically non-commercial, but check with us if unsure.
Contact sales
play_arrow
Using it in a product or service you sell?
This is commercial. Contact our sales team.
Contact sales
play_arrow
A government entity using it for public services?
This may be commercial. Please contact us for clarification.
Contact sales
play_arrow
close
No
You can use the models freely.
play_arrow
done
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?
keyboard_arrow_down
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?
keyboard_arrow_down
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?
keyboard_arrow_down
Yes, the Reader API is open source and available on the Jina AI GitHub repository.
What is the typical latency for the Reader API?
keyboard_arrow_down
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?
keyboard_arrow_down
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?
keyboard_arrow_down
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?
keyboard_arrow_down
If you experience blocking issues, please contact our support team for assistance and resolution.
Can the Reader API extract content from PDF files?
keyboard_arrow_down
Yes, the Reader API can natively extract content from PDF files.
Can the Reader API process media content from web pages?
keyboard_arrow_down
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?
keyboard_arrow_down
No, the Reader API can only process content from publicly accessible URLs.
Does Reader API cache the content?
keyboard_arrow_down
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?
keyboard_arrow_down
Unfortunately not.
Can I use the Reader API to access PDF on arXiv?
keyboard_arrow_down
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?
keyboard_arrow_down
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?
keyboard_arrow_down
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?
keyboard_arrow_down
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?
keyboard_arrow_down
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
API-related common questions
code
Can I use the same API key for reader, embedding, reranking, classifying and fine-tuning APIs?
keyboard_arrow_down
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.
code
Can I monitor the token usage of my API key?
keyboard_arrow_down
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.
code
What should I do if I forget my API key?
keyboard_arrow_down
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
code
Do API keys expire?
keyboard_arrow_down
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?
keyboard_arrow_down
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.
code
Can I revoke my API key?
keyboard_arrow_down
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?
keyboard_arrow_down
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.
code
Is user input data used for training your models?
keyboard_arrow_down
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
attach_money
Is billing based on the number of sentences or requests?
keyboard_arrow_down
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.
attach_money
Is there a free trial available for new users?
keyboard_arrow_down
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.
attach_money
Are tokens charged for failed requests?
keyboard_arrow_down
No, tokens are not deducted for failed requests.
attach_money
What payment methods are accepted?
keyboard_arrow_down
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?
keyboard_arrow_down
Yes, an invoice will be issued to the email address associated with your Stripe account upon the purchase of tokens.
Offices
location_on
Sunnyvale, CA
710 Lakeway Dr, Ste 200, Sunnyvale, CA 94085, USA
location_on
Berlin, Germany (HQ)
Prinzessinnenstraße 19-20, 10969 Berlin, Germany
location_on
Beijing, China
Level 5, Building 6, No.48 Haidian West St. Beijing, China
location_on
Shenzhen, China
402 Floor 4, Fu'an Technology Building, Shenzhen, China
Search Foundation
Reader
Embeddings
Reranker
Classifier
Segmenter
API Documentation
Get Jina API key
Rate Limit
API Status
Company
About us
Contact sales
Newsroom
Intern program
Join us
open_in_new
Download logo
open_in_new
Terms
Security
Terms & Conditions
Privacy
Manage Cookies
email
Jina AI © 2020-2025.