POST
/
api
/
ai
/
v2
/
pdf-extract
curl --request POST \
  --url https://api.worqhat.com/api/ai/v2/pdf-extract \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form file=/path/to/pdf.pdf
{
  "data": "This is a sample text to be converted.",
  "processing_time": 888,
  "processing_id": "4b139bfe-1f71-4345-b539-fa6c1700f166",
  "processing_count": 12
}

​
PDF Extraction AI

Extract data, content and tables from any PDF with ease

PDF Extract AI is a powerful tool that utilizes machine learning algorithms to extract content from PDF documents. PDFs, or Portable Document Format files, are widely used for storing and sharing various types of documents, including reports, contracts, articles, and forms. However, extracting information from PDFs can be a challenging task due to the complex structure and formatting of these files.

PDF Extract AI addresses this challenge by employing machine learning techniques to understand the structure of a PDF and extract the desired content accurately.

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How does it work?

PDF Extract AI is a cutting-edge machine learning service designed to streamline the extraction of text, handwriting, and data from scanned documents. Unlike traditional optical character recognition (OCR) methods, PDF Extract AI leverages advanced ML algorithms to accurately identify, interpret, and extract information from various document formats, including PDFs, images, tables, and forms.

In many organizations, the extraction of data from scanned documents is often a labor-intensive and manual process. Companies typically rely on manual data entry or OCR software that requires time-consuming configuration, especially when dealing with complex forms or changing document layouts. However, PDF Extract AI eliminates these challenges by automating the entire document processing workflow.

By leveraging ML techniques, PDF Extract AI can intelligently read and analyze diverse document types, extracting text, handwriting, tables, and other data without any manual intervention. This enables businesses to automate critical processes such as loan processing, invoice and receipt analysis, and data extraction from various document sources.

PDF Extract AI offers several key advantages over traditional methods. Firstly, it significantly reduces the time and effort required for data extraction, enabling organizations to process documents within minutes rather than hours or days. Additionally, it eliminates the need for manual configuration, making it adaptable to changing form layouts and saving valuable resources.

The ML algorithms employed by PDF Extract AI are trained on vast datasets, enabling them to accurately interpret and extract information from complex document structures. The service goes beyond simple OCR by understanding the context, structure, and relationships within the documents, enabling the extraction of data from tables, handwriting, and other non-standard document elements.

With PDF Extract AI, businesses can automate document processing, swiftly act on the extracted information, and integrate it into their existing workflows. Whether it’s automating loan approvals, extracting data from invoices and receipts, or performing comprehensive document analysis, PDF Extract AI provides an efficient and accurate solution for automating data extraction from scanned documents.

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Use Cases

  • Loan Processing Automation: PDF Extract AI can be used in financial institutions to automate the extraction of data from loan applications, including personal information, financial details, and supporting documents. This streamlines the loan approval process, reduces manual effort, and enables faster decision-making.
  • Invoice and Receipt Analysis: Businesses can utilize PDF Extract AI to extract relevant data from invoices and receipts, such as vendor details, item descriptions, prices, and payment information. This enables automated invoice processing, expense tracking, and accounting tasks, improving efficiency and accuracy.
  • Document Digitization and Archive Management: PDF Extract AI helps in digitizing physical documents by extracting text and data from scanned files. This enables organizations to create searchable digital archives, making it easier to retrieve and analyze historical documents, contracts, or legal records.
  • Form Processing and Data Extraction: PDF Extract AI can extract data from various types of forms, including surveys, applications, and questionnaires. It automates the extraction of information such as responses, checkboxes, and signatures, enabling efficient form processing and data analysis.
  • Compliance and Regulatory Reporting: Regulatory compliance often requires extracting specific information from documents, such as customer details or financial data. PDF Extract AI simplifies this process by automatically extracting the required data, ensuring accuracy and reducing the risk of manual errors.
  • Research and Information Extraction: Researchers can benefit from PDF Extract AI by extracting relevant information from research papers, scientific articles, or academic publications. This helps in analyzing large volumes of text, extracting key findings, and facilitating literature reviews.
  • Data Entry and Database Population: PDF Extract AI can automate data entry tasks by extracting data from forms or documents and populating databases or CRM systems. This eliminates the need for manual data entry, reduces errors, and speeds up data processing.
  • Content Analysis and Text Mining: PDF Extract AI enables businesses to perform content analysis and text mining on large collections of documents. By extracting text and metadata, organizations can uncover insights, perform sentiment analysis, and gain a deeper understanding of their document repositories.
  • Legal Document Analysis: Legal professionals can use PDF Extract AI to extract information from legal documents, contracts, or court records. It assists in extracting key clauses, identifying parties involved, and facilitating contract management and review processes.

These use cases demonstrate the versatility and effectiveness of PDF Extract AI in automating document processing, data extraction, and analysis tasks across various industries and domains.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

multipart/form-data

Response

200
application/json

Successful response

The response is of type object.