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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FAQ

Status

Use r.jina.ai to read a URL

This will return the main content of the page in clean, LLM-friendly text.

Enter your URL

https://r.jina.ai/

Reader URL

Use s.jina.ai to search a query

This will search the web and returns URLs and contents, each in clean, LLM-friendly text.

Use g.jina.ai for grounding

This will call our grounding engine do fact-checking.

Experimental

Request

Bash

Language

curl https://r.jina.ai/https://example.com

Request (javascript)

fetch('https://r.jina.ai/https://example.com', {
  method: 'GET',
})

API key

Available tokens

This is your unique key. Store it securely!

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.

Enter your URL

Click below to fetch the source code of the page directly

Reader URL

Click below to obtain the content through our Reader API

Raw HTML

Reader Output

Pose a Question

Input a question and combine it with the fetched content for LLM to generate an answer

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.

Enter your query

Type a question that requires latest information or world knowledge.

Reader URL

If you use this URL in code, dont forget to encode the URL.

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.

Your fact-checking statement

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.

Original PDF

Reader 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.

Columns

Product	API Endpoint	Description	w/o API Key	w/ API Key	w/ Premium API Key	Average Latency	Token Usage Counting	Allowed Request
Embedding API	`https://api.jina.ai/v1/embeddings`	Convert text/images to fixed-length vectors		500 RPM & 1,000,000 TPM	2,000 RPM & 5,000,000 TPM	depends on the input size	Count the number of tokens in the input request.	POST
Reranker API	`https://api.jina.ai/v1/rerank`	Tokenize and segment long text		500 RPM & 1,000,000 TPM	2,000 RPM & 5,000,000 TPM	depends on the input size	Count the number of tokens in the input request.	POST
Reader API	`https://r.jina.ai`	Convert URL to LLM-friendly text	20 RPM	200 RPM	1000 RPM	4.6s	Count the number of tokens in the output response.	GET/POST
Reader API	`https://s.jina.ai`	Search the web and convert results to LLM-friendly text		40 RPM	100 RPM	8.7s	Count the number of tokens in the output response.	GET/POST
Reader API	`https://g.jina.ai`	Grounding a statement with web knowledge		10 RPM	30 RPM	22.7s	Count the total number of tokens in the whole process.	GET/POST
Classifier API (Zero-shot)	`https://api.jina.ai/v1/classify`	Classify inputs using zero-shot classification		200 RPM & 500,000 TPM	1,000 RPM & 3,000,000 TPM	depends on the input size	Tokens counted as: input_tokens + label_tokens	POST
Classifier API (Few-shot)	`https://api.jina.ai/v1/classify`	Classify inputs using a trained few-shot classifier		20 RPM & 200,000 TPM	60 RPM & 1,000,000 TPM	depends on the input size	Tokens counted as: input_tokens	POST
Classifier API	`https://api.jina.ai/v1/train`	Train a classifier using labeled examples		20 RPM & 200,000 TPM	60 RPM & 1,000,000 TPM	depends on the input size	Tokens counted as: input_tokens × num_iters	POST
Segmenter API	`https://segment.jina.ai`	Tokenize and segment long text	20 RPM	200 RPM	1,000 RPM	0.3s	Token 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.

Enter the API key you wish to recharge

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 (RPM). Find out more about the rate limits for each product and tier below.

Rate Limit

Columns

Product	API Endpoint	Description	w/o API Key	w/ API Key	w/ Premium API Key	Average Latency	Token Usage Counting	Allowed Request
Embedding API	`https://api.jina.ai/v1/embeddings`	Convert text/images to fixed-length vectors		500 RPM & 1,000,000 TPM	2,000 RPM & 5,000,000 TPM	depends on the input size	Count the number of tokens in the input request.	POST
Reranker API	`https://api.jina.ai/v1/rerank`	Tokenize and segment long text		500 RPM & 1,000,000 TPM	2,000 RPM & 5,000,000 TPM	depends on the input size	Count the number of tokens in the input request.	POST
Reader API	`https://r.jina.ai`	Convert URL to LLM-friendly text	20 RPM	200 RPM	1000 RPM	4.6s	Count the number of tokens in the output response.	GET/POST
Reader API	`https://s.jina.ai`	Search the web and convert results to LLM-friendly text		40 RPM	100 RPM	8.7s	Count the number of tokens in the output response.	GET/POST
Reader API	`https://g.jina.ai`	Grounding a statement with web knowledge		10 RPM	30 RPM	22.7s	Count the total number of tokens in the whole process.	GET/POST
Classifier API (Zero-shot)	`https://api.jina.ai/v1/classify`	Classify inputs using zero-shot classification		200 RPM & 500,000 TPM	1,000 RPM & 3,000,000 TPM	depends on the input size	Tokens counted as: input_tokens + label_tokens	POST
Classifier API (Few-shot)	`https://api.jina.ai/v1/classify`	Classify inputs using a trained few-shot classifier		20 RPM & 200,000 TPM	60 RPM & 1,000,000 TPM	depends on the input size	Tokens counted as: input_tokens	POST
Classifier API	`https://api.jina.ai/v1/train`	Train a classifier using labeled examples		20 RPM & 200,000 TPM	60 RPM & 1,000,000 TPM	depends on the input size	Tokens counted as: input_tokens × num_iters	POST
Segmenter API	`https://segment.jina.ai`	Tokenize and segment long text	20 RPM	200 RPM	1,000 RPM	0.3s	Token is not counted as usage.	GET/POST

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.

≤ 1M Tokens

Recharge if

Product	API Endpoint	Description	w/o API Key	w/ API Key	w/ Premium API Key	Average Latency	Token Usage Counting	Allowed Request
Embedding API	`https://api.jina.ai/v1/embeddings`	Convert text/images to fixed-length vectors		500 RPM & 1,000,000 TPM	2,000 RPM & 5,000,000 TPM	depends on the input size	Count the number of tokens in the input request.	POST
Reranker API	`https://api.jina.ai/v1/rerank`	Tokenize and segment long text		500 RPM & 1,000,000 TPM	2,000 RPM & 5,000,000 TPM	depends on the input size	Count the number of tokens in the input request.	POST
Reader API	`https://r.jina.ai`	Convert URL to LLM-friendly text	20 RPM	200 RPM	1000 RPM	4.6s	Count the number of tokens in the output response.	GET/POST
Reader API	`https://s.jina.ai`	Search the web and convert results to LLM-friendly text		40 RPM	100 RPM	8.7s	Count the number of tokens in the output response.	GET/POST
Reader API	`https://g.jina.ai`	Grounding a statement with web knowledge		10 RPM	30 RPM	22.7s	Count the total number of tokens in the whole process.	GET/POST
Classifier API (Zero-shot)	`https://api.jina.ai/v1/classify`	Classify inputs using zero-shot classification		200 RPM & 500,000 TPM	1,000 RPM & 3,000,000 TPM	depends on the input size	Tokens counted as: input_tokens + label_tokens	POST
Classifier API (Few-shot)	`https://api.jina.ai/v1/classify`	Classify inputs using a trained few-shot classifier		20 RPM & 200,000 TPM	60 RPM & 1,000,000 TPM	depends on the input size	Tokens counted as: input_tokens	POST
Classifier API	`https://api.jina.ai/v1/train`	Train a classifier using labeled examples		20 RPM & 200,000 TPM	60 RPM & 1,000,000 TPM	depends on the input size	Tokens counted as: input_tokens × num_iters	POST
Segmenter API	`https://segment.jina.ai`	Tokenize and segment long text	20 RPM	200 RPM	1,000 RPM	0.3s	Token is not counted as usage.	GET/POST

Do I need a commercial license?

CC BY-NC License Self-Check

Are you using our official API or official images on Azure or AWS?

Yes

Are you using a paid API key or free trial key?

Are you using our official model images on AWS and Azure?

Reader

Reader API

What is Reader?

Reader for web search

Reader for fact-checking

Reader also reads images!

Reader also reads PDFs!

The best part? It's free!

API Pricing

FAQ

How to get my API key?

What's the rate limit?

Do I need a commercial license?

Other questions