AskYourPDF is a cutting-edge solution revolutionizing document interactions. Our API empowers developers with the ability to programmatically extract valuable information from PDF files and leverage it to create custom chatbots. By providing seamless access to the content within PDF documents, developers can build powerful applications that enable users to navigate, search, and engage with data effortlessly. This comprehensive guide will walk you through the API's features, pricing, authentication methods, and usage guidelines, opening up endless possibilities to enhance productivity and knowledge retrieval for your applications. Harness the potential of AskYourPDF API and embark on an innovative journey of intelligent document analysis and interactive experiences.
Uploading A Document
To upload a document, choose between generating a document ID on our website or using the API endpoint. We support various document formats, including '.pdf', '.txt', '.ppt', '.pptx', '.csv', '.epub', and '.rtf'. Additionally, you can upload PDFs using links. Moreover, the API enables interaction with any blog post or website by providing the link to the post.
Authentication
Authentication is required for all our API endpoints. To access them, you must generate API keys on your AskYourPDF account. These API keys need to be set in your request header as "x-api-key." It is essential to treat your API key as a secret and ensure its protection.
headers: {"x-api-key":"ask_xxxxx" }
1. Adding Document via URL
Query Parameters:
url (required): The link to the document. It could be a link to a PDF or a post on a website
Response:
201 Successful Response
doc_id (string): The document ID of the uploaded document.
Endpoint for initiating a chat with a document. This endpoint requires API Key Header authentication.
Path Parameters:
doc_id (string, required): The ID of the document for the conversation.
Query Parameters:
stream (boolean, optional): Flag for streaming. Default is false
model_name (string, optional) : The model the user chooses to use, model choices includes CLAUDE1, CLAUDE2, GPT3, GPT4, GPT4O_MINI. Default model is GPT4O_MINI
cite_source (boolean, optional) : Flag for cite_source. Default if false
temperature (float, optional) : Flag for temperature. Default is 0.7
language (string, optional) : The language the user chooses to chat with, language choices include ENGLISH, ARABIC, CHINESE, JAPANESE, FRENCH , GERMAN, SPANISH, KOREAN, PORTUGESE. Default language is ENGLISH.
length (string, optional) : This option allows you to choose the desired length of the response. Choices includes LONG and SHORT. Default value is SHORT
Request body:
sender (required): The sender of the chat message. The sender should be User
message (required): The chat message content.
The request body to ask a single question.
[ {"sender":"User","message":"What does this document say?" }]
To ask a follow-up question and provide the model with context you can send your previous questions and responses in the following format.
[ { "sender":"user","message":"What does the document say?" }, {"sender":"bot","message":"The document consists of words in different languages expressing gratitude" }, {"sender":"user","message":"What is the word expressing gratitude in Spanish?" }]
Response:
The response when the query parameter stream = False
200 Successful Response
question: The question posed by the user, with sender, message, and type.
sender
message
type
answer: The answer provided by the AI, with sender, message, and type.
sender
message
type
created (string): The time the chat was created.
{"question": {"sender":"user","message":"What does this document say?","type":"question" },"answer": {"sender":"bot","message":"This document talks about AI","type":"response" },"created":"2023-07-20T11:14:55.928Z"}
By setting the query parameter stream = True, you can receive the response as a stream of token. An example of the response can be seen below.
This endpoint allows a user to chat with more than one docuemt.
Query paramters
stream (boolean, optional): Flag for streaming. Default is false
model_name (string, optional) : The model the user chooses to use, model choices includes CLAUDE1, CLAUDE2, GPT3, GPT4, GPT4O_MINI. Default model is GPT4O_MINI
cite_source (boolean, optional) : Flag for cite_sources. Default if false
temperature (float, optional) : Flag for temperature. Default is 0.7
language (string, optional) : The language the user chooses to chat with, language choices include ENGLISH, ARABIC, CHINESE, JAPANESE, FRENCH , GERMAN, SPANISH, KOREAN, PORTUGESE. Default language is ENGLISH.
length (string, optional) : This option allows you to choose the desired length of the response. Choices includes LONG and SHORT. Default value is SHORT
Body
{"documents": ["3c06c3f8-be9f-4f43-ac00-b1a82fd25b30" ],"messages": [ {"sender":"user","message":"What is the document all about" } ]}
Response:
200 : Successful Response
question : A dict of information directed to the model
sender : The sender of the question,
message : The question asked
type : Has a value of "question"
answer : A dict of response information from the model
sender : The sender of the response
message : The exact answer a user requested
type : Has a value of "response"
{"question": {"sender":"user","message":"What is the document all about","type":"question" },"answer": {"sender":"bot","message":"The document simply describes the applications of motions","type":"response" },"created":"2024-08-23T11:01:46.204541"}
Examples
curl -X POST 'https://api.askyourpdf.com/v1/api/knowledge_base_chat?model_name=GPT3&stream=false&length=LONG&language=ARABIC&temperature=0.7' \
-H 'x-api-key: YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"documents": [
"3c06c3f8-be9f-4f43-ac00-b1a82fd25b30"
],
"messages": [
{
"sender": "user",
"message": "What is the document all about"
}
]
}'
import requestsheaders ={'x-api-key':'YOUR_API_KEY'}payload ={"documents": ["3c06c3f8-be9f-4f43-ac00-b1a82fd25b30" ],"messages": [{"sender":"user",code"message":"What is the document all about"} ]}params ={"model_name":"GPT3","stream":False,"length":"LONG","language":"ARABIC","temperaature":0.7}response = requests.post('https://api.askyourpdf.com/v1/api/knowledge_base_chat', headers=headers, json=payload, params = params)if response.status_code ==200:print(response.json())else:print('Error:', response.status_code)
constaxios=require('axios');constheaders= {'x-api-key':'YOUR_API_KEY'};constpayload= {"documents": ["3c06c3f8-be9f-4f43-ac00-b1a82fd25b30" ],"messages": [ {"sender":"user","message":"What is the document all about" } ]};constparams= {"model_name":"GPT3","stream":false,"length":"LONG","language":"ARABIC","temperature":0.7};axios.post('https://api.askyourpdf.com/v1/api/knowledge_base_chat', payload, { headers: headers, params: params}).then(response => {console.log(response.data); }).catch(error => {console.error('Error:',error.response ?error.response.status :error.message); });
5. Documents Retrieval Endpoint
This endpoint allows users to retrieve a paginated list of their uploaded documents.
Query Parameters:
page (integer, optional): The page to return. Defaults to 1.
page_size (integer, optional): The number of documents to return per page. Defaults to 10.
Response:
200 Successful Response
total_pages (Integer): The total number of pages available for querying
documents (Array): A list of document details belonging to the user.
name
doc_id
summary
language
pages
shareable
date_time
{"total_pages":1,"documents": [ {"name":"Nature.pdf","doc_id":"6e60e87c-6154-4dff-8e62-ff10d8ed16dd","summary":"This is a document about nature","language":"en","pages":10,"shareable":true,"date_time":"2023-07-21T06:18:18.891Z" } ]}
Examples:
cURL
curl -X GET
-H 'x-api-key: YOUR_API_KEY'
'https://api.askyourpdf.com/v1/api/documents?page=1&page_size=10'
This endpoint allows users to retrieve a single document.
Path Parameters:
doc_id (string, required): The ID of the document for the conversation.
Response:
200 Successful Response
name
doc_id
summary
language
pages
shareable
date_time
{"name":"Nature.pdf","doc_id":"6e60e87c-6154-4dff-8e62-ff10d8ed16dd","summary":"This is a document about nature","language":"en","pages":10,"shareable":true,"date_time":"2023-07-21T06:18:18.891Z" }
Examples:
cURL
curl -X GET
-H 'x-api-key: YOUR_API_KEY'
'https://api.askyourpdf.com/v1/api/documents/{YOUR_DOC_ID}'
Knowledgebase endpoints are used when a user wants to chat or interact with multiple documents
8. Get Knowledge Bases
This endpoint enables an authenticated user to retrieve paginated knowledgebases
Returns:
PaginatedKnowledgeBase: The response containing the updated knowledge base.
Query parameters
page (integer, optional)
page_size (integer, optional)
order (string optional)
Response
200 Successful Response
total_pages (Integer): The total number of pages available for querying
knowledge_bases : An array of knowledges bases being queried