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.vscode | ||
test | ||
ts | ||
.gitignore | ||
.gitlab-ci.yml | ||
license | ||
npmextra.json | ||
package.json | ||
pnpm-lock.yaml | ||
readme.hints.md | ||
readme.md | ||
tsconfig.json |
@push.rocks/smartocr
an ocr module using ocrmypdf
Install
To install @push.rocks/smartocr
, use the following command with npm:
npm install @push.rocks/smartocr --save
This module depends on a few external utilities like ocrmypdf
, so make sure you have these installed and available in your system's PATH. Consult the ocrmypdf
documentation for installation instructions suitable for your operating system.
Usage
This module provides a TypeScript interface for OCR processing of PDF documents using ocrmypdf
, encapsulated in the SmartOcr
class. Here's how to leverage it in your TypeScript project.
Preparing Your Project
First, ensure your TypeScript configuration is set up to handle ESModule syntax. You will also need to have Node.js and the external ocrmypdf
tool installed on your system.
Basic Setup
import { SmartOcr } from '@push.rocks/smartocr';
async function runOcrOnPdf(pdfFilePath: string): Promise<Buffer> {
// Initialize the SmartOcr instance
const smartOcrInstance = await SmartOcr.createAndInit();
// Load your PDF file into a Buffer, this can be from a file or even a remote source
const pdfBuffer = await fs.promises.readFile(pdfFilePath);
// Process the PDF Buffer through SmartOcr
const processedBuffer = await smartOcrInstance.processPdfBuffer(pdfBuffer);
return processedBuffer;
}
// Replace './path/to/your/document.pdf' with the actual path to the PDF document you want to OCR
const ocredPdfBuffer = await runOcrOnPdf('./path/to/your/document.pdf');
// You can now save this buffer to a file, or use it as needed in your application
await fs.promises.writeFile('./path/to/output/document_ocr.pdf', ocredPdfBuffer);
In the example above, we import the SmartOcr
class and use it to process a PDF by passing a Buffer
of the PDF file to the processPdfBuffer
method. The method returns a Buffer
of the processed PDF which includes a text layer added by OCR.
Advanced Usage
The SmartOcr
class maintains an internal smartshell
instance to interface with the ocrmypdf
command. This setup is abstracted away, ensuring you don't need to manage or understand the underlying shell commands to use OCR functionality in your application.
Handling OCR Result
The result of the processPdfBuffer
is a Buffer
that contains the OCR-processed PDF. This buffer can be directly written to a file system or further manipulated in memory, depending on your application's needs.
Error Handling
It's important to handle errors that may arise from reading files or the OCR process. The OCR process depends on the external ocrmypdf
utility, so errors can occur if the utility encounters unsupported PDF structures or if there are issues with the installation of ocrmypdf
.
try {
const ocredPdfBuffer = await runOcrOnPdf('./path/to/your/document.pdf');
await fs.promises.writeFile('./path/to/output/document_ocr.pdf', ocredPdfBuffer);
} catch (error) {
console.error('Failed to OCR the document:', error);
}
Conclusion
The @push.rocks/smartocr
library simplifies adding OCR capabilities to your TypeScript applications by abstracting away the complexity of interfacing with ocrmypdf
. With minimal setup, you can start processing PDF documents to add searchable text layers, making this library a valuable tool for any project that requires OCR functionality.
License and Legal Information
This repository contains open-source code that is licensed under the MIT License. A copy of the MIT License can be found in the license file within this repository.
Please note: The MIT License does not grant permission to use the trade names, trademarks, service marks, or product names of the project, except as required for reasonable and customary use in describing the origin of the work and reproducing the content of the NOTICE file.
Trademarks
This project is owned and maintained by Task Venture Capital GmbH. The names and logos associated with Task Venture Capital GmbH and any related products or services are trademarks of Task Venture Capital GmbH and are not included within the scope of the MIT license granted herein. Use of these trademarks must comply with Task Venture Capital GmbH's Trademark Guidelines, and any usage must be approved in writing by Task Venture Capital GmbH.
Company Information
Task Venture Capital GmbH
Registered at District court Bremen HRB 35230 HB, Germany
For any legal inquiries or if you require further information, please contact us via email at hello@task.vc.
By using this repository, you acknowledge that you have read this section, agree to comply with its terms, and understand that the licensing of the code does not imply endorsement by Task Venture Capital GmbH of any derivative works.