OCR PDF

OCR PDF

OCR PDF is an advanced API tool designed to convert scanned documents and images within PDFs into searchable and extractable text using state-of-the-art Optical Character Recognition (OCR) technology. By leveraging OCR PDF, developers can transform static PDF documents into dynamic, searchable text PDFs, significantly enhancing document management processes.

Key Benefits of OCR PDF API

  • Process PDF to OCR seamlessly, ensuring that all text within scanned images is accurately recognized and extracted.
  • Utilize PDF and OCR capabilities to integrate text recognition directly into workflows for faster, more efficient document processing.
  • Take advantage of OCR from PDF to extract text from existing PDF files, enabling easy editing and modification.
  • Convert OCR PDF to Word to facilitate editing and formatting in a convenient environment.
  • Implement OCR PDF Document solutions to manage large volumes of scanned files effectively.
Build Your Solution

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Parse PDF Files to Streamline Data Extraction
Parse PDF Files to Streamline Data Extraction
Create Searchable PDF Files with OCR
Create Searchable PDF Files with OCR
The pdfRest logo is added to the Microsoft Power Automate logo with a representation of a PNG to PDF conversion workflow
Integrate pdfRest with Microsoft Power Automate
Extract Text from PDF using OCR
Extract Text from PDF using OCR
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Integrate PDF API Tools with Salesforce Apex Code
Control your Backend with pdfRest API Toolkit Self-Hosted
Control your Backend with pdfRest API Toolkit Self-Hosted
Why is pdfRest the best API to OCR PDF Documents?
pdfRest offers the best solution for applying OCR to PDF documents, because it generates searchable PDF files, supports image-based text extraction, and integrates easily with all projects.

Enhance Searchability and Accessibility with PDF to OCR Technology

Traditional text extraction methods struggle with scanned documents or PDFs containing embedded images. pdfRest addresses this challenge by leveraging Optical Character Recognition (OCR) technology. OCR PDF API Tool accurately detects text within images and strategically places the recognized text behind the image in the PDF document. This enables developers to:

  • Transform Non-searchable PDFs: Previously inaccessible image-based text becomes selectable and searchable within the PDF.
  • Boost Efficiency: Eliminate the need for manual data entry, saving development time and resources.
  • Improved User Experience: Enhance user workflows by enabling them to easily highlight, copy, and search for text within images directly within the PDF.

Extract Text Easily with OCR from PDF Technology

pdfRest offers a comprehensive approach to PDF text extraction. OCR PDF API Tool can be used to make the text within images extractable. This serves as an ideal pre-processing step by adding image text directly to the PDF before applying the Extract Text API Tool. The effect of this combined approach ensures developers can reliably extract all text, including rasterized content, from PDFs.

pdfRest OCR + Text Extraction functionality supports a wide range of applications, including document archival, content search, and data analysis, empowering developers to unlock the full potential of their PDF data.

Seamless PDF and OCR Integration

OCR PDF API Tool empowers you to leverage the power of OCR without sacrificing development efficiency. Focus on core functionalities and streamline your workflows with a solution designed to integrate effortlessly into any development project, regardless of programming language or technology stack.

Unlike traditional methods that require complex setup and configuration, the pdfRest API offers a frictionless integration experience. With well-documented references and readily available code samples, developers can implement workflows to OCR PDF files within their applications with minimal code and effort.

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Start from Code Examples
See more code examples in our GitHub repository

Need more help?

Start with a Tutorial for step-by-step guidance

How to Use OCR to Extract Text from PDF Images in .NET with C#
How to Use OCR to Extract Text from PDF Images with cURL
How to Use OCR to Extract Text from PDF Images with JavaScript in NodeJS
How to Use OCR to Extract Text from PDF Images with PHP
How to Use OCR to Extract Text from PDF Images with Python
How to Use OCR to Make PDF Image Text Searchable in .NET with C#
How to Use OCR to Make PDF Image Text Searchable with cURL
How to Use OCR to Make PDF Image Text Searchable with JavaScript in NodeJS
Customize Your Solution

Learn about the parameters for this tool to create your custom solution.

Languages

The languages parameter allows you to specify the languages that the OCR engine should recognize within your PDF document. This is particularly useful when dealing with multilingual documents or documents containing text in languages other than English.

Supported Languages:

  • ChineseSimplified
  • ChineseTraditional
  • Dutch
  • English
  • French
  • German
  • Italian
  • Japanese
  • Korean
  • Portuguese
  • Spanish

How to Use:

  1. Identify Languages: Determine the primary languages present in your PDF document. Query PDF can be used in many cases to detect the metadata value for the document's language.
  2. Specify Languages: Provide a comma-separated list of language codes in the languages parameter of your API request.

Example:

English,German,French

Important Considerations:

  • Performance Impact: Including multiple languages, especially CJK languages (Chinese, Japanese, Korean), can affect OCR processing time. Carefully consider the languages present in your document and balance accuracy with performance.
  • Default Language: If the languages parameter is not specified, the OCR engine will default to English.

By effectively utilizing the languages parameter, you can optimize the OCR performance and accuracy for your multilingual PDF documents.

See Documentation
Frequently Asked Questions
Need more help? Contact Us or visit our documentation.

The OCR PDF API is an advanced tool designed to convert scanned documents and images within PDFs into searchable and extractable text using state-of-the-art Optical Character Recognition (OCR) technology. This API transforms static PDF documents into dynamic, searchable text PDFs, significantly enhancing document management processes. By accurately recognizing and extracting text from images, the OCR PDF API enables developers to integrate text recognition directly into workflows, facilitating faster and more efficient document processing.

The API supports a wide range of languages, allowing users to specify which languages the OCR engine should recognize within the document. This feature is particularly useful for multilingual documents, ensuring that text is accurately recognized and extracted regardless of language. The OCR PDF API is designed to seamlessly integrate into existing systems, providing a flexible and efficient solution for organizations looking to enhance their document management capabilities.

Utilizing the OCR PDF API offers several advantages that make it an essential tool for document processing. Firstly, it enhances searchability and accessibility by transforming non-searchable PDFs into searchable documents. This allows users to easily highlight, copy, and search for text within images directly within the PDF, improving user workflows and boosting efficiency.

The API also eliminates the need for manual data entry, saving development time and resources. By automating the text extraction process, organizations can focus on other critical tasks while ensuring that all text within scanned images is accurately recognized and extracted. This makes the OCR PDF API a valuable tool for businesses looking to streamline their document workflows and enhance data management.

Yes, pdfRest can OCR PDFs under GDPR compliance. To ensure full compliance, simply send your API calls to the http://eu-api.pdfrest.com/pdf-with-ocr-text endpoint. This ensures that all data processing occurs within the EU, adhering to GDPR data protection regulations. Note that some plans incur a small fee for GDPR-compliant usage.

Absolutely! The OCR PDF API is designed for seamless automation and integration with the Extract Text API, allowing users to integrate text extraction into their workflows effortlessly. The API supports batch processing, enabling high-volume document processing with minimal manual intervention. This automation not only enhances efficiency but also ensures that all text within scanned images is accurately recognized and extracted.

By automating the text extraction process, organizations can focus on other critical tasks while ensuring that their document management practices are aligned with best practices for data protection. pdfRest's flexibility and ease of integration make it a valuable solution for businesses looking to optimize their document workflows and improve overall efficiency.

The OCR PDF API is capable of processing a wide range of documents, including scanned PDFs, fully image-based PDFs, and PDFs that contain a mix of images and text. It can accurately recognize and extract text from images within these documents, transforming them into searchable and extractable text PDFs. This makes it an ideal solution for organizations looking to enhance their document management capabilities and improve data accessibility.

The API supports PDFs containing a wide ange of languages, allowing users to specify which languages the OCR engine should recognize within each document. This feature is particularly useful for multilingual documents, ensuring that text is accurately recognized and extracted regardless of language.

Integrating the OCR PDF API into existing systems is a straightforward process, thanks to its flexible REST API interface. Comprehensive documentation and sample code are available to guide developers through the integration process, ensuring quick and easy deployment across various platforms.

The API supports a wide range of programming languages, including Python, Java, C#, PHP, and JavaScript, as well as direct integration with low-code services, making it accessible to developers with different technical backgrounds. This flexibility allows organizations to enhance their document management workflows with minimal disruption, ensuring that their text extraction processes are efficient and effective.

Yes, the OCR PDF API allows users to specify the languages that the OCR engine should recognize within the document. This is done using the languages parameter, which accepts a comma-separated list of language codes. This feature is particularly useful for multilingual documents, ensuring that text is accurately recognized and extracted regardless of language.

By effectively utilizing the languages parameter, users can optimize the OCR performance and accuracy for their PDF documents. It's important to note that including multiple languages, especially CJK languages (Chinese, Japanese, Korean), can affect OCR processing time, so it's recommended to carefully consider the languages present in the document.

Absolutely! pdfRest offers a free Starter plan that allows users to test and validate their solutions using the intuitive API Lab interface or by sending calls programmatically. This enables organizations to explore the capabilities of the OCR PDF API and ensure it meets their specific needs before committing to a subscription.

The API Lab provides a user-friendly environment for testing and experimentation, allowing users to upload files, choose parameters, and send API calls directly from their browser. This makes it easy to evaluate the API's features and functionality, ensuring that it aligns with organizational requirements and objectives.

pdfRest offers OCR processing via the Cloud API service, PDF Toolkit Self-Hosted API available on AWS, and Container API for Enterprise organizations to deploy on-premises or in private cloud environments. This flexibility allows organizations to choose the deployment model that best suits their operational and compliance needs, whether on-premises or in the cloud.

Cloud-based deployment provides the convenience of easy access and quick integration, while self-hosted deployment offers greater control and customization. Organizations can select the option that aligns with their security and compliance requirements, ensuring that their document management practices are efficient and effective.

pdfRest leverages the latest technology for OCR processing, which ensures accurate and reliable text recognition. This ensures that text within images is accurately recognized and extracted, transforming static PDFs into dynamic, searchable documents. Flexible REST API integration makes it ideal for a wide range of applications, from document archival to data analysis.

Additionally, pdfRest's ability to handle high-volume document processing with precision and efficiency further solidifies its position as a leading solution in the industry. Organizations can confidently manage their text extraction workflows, knowing that they are using a solution backed by industry-leading technology that prioritizes reliability and efficiency.

Using pdfRest to OCR PDFs online is made easy with the API Lab. This interface allows users to upload files, choose parameters, and send API calls directly from their browser. The API Lab provides a user-friendly environment for testing and experimentation, making it easy to evaluate the API's features and functionality.

For an even more convenient and efficient workflow, try pdfAssistant.ai to OCR PDF files, which provides an intuitive AI chat-based interface for managing your PDF processing tasks through a virtual assistant.

Yes, we offer tutorials for using pdfRest's OCR PDF API, providing step-by-step guidance on how to implement the API in various programming environments. These tutorials cover different programming languages, including .NET, JavaScript, PHP, cURL, and Python, helping you get started quickly and effectively.

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