Vedachalam Mahadevan
03/15/2025, 6:48 AMCeligo AI
03/15/2025, 6:48 AMAI generated answer (using internal Slack threads):****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ****** To read the content of a PDF file stored in the NetSuite file cabinet using JavaScript, you can use a library such as pdf.js or pdf-lib.js. However, please note that these libraries may not fully work in a server-side context due to certain limitations of SuiteScript, such as the lack of support for the setTimeout function. Here is a general approach to using pdf.js: 1. Include the pdf.js library in your project. You can download it from the official GitHub repository or use a CDN. 2. Load the PDF file from the file cabinet. You can use the
nlapiLoadFile
function in SuiteScript 1.0 or the file.load
function in SuiteScript 2.0 to load the file.
3. Parse the PDF file using pdf.js. The library provides a getDocument
function that you can use to load and parse the PDF file. This function returns a PDFDocumentProxy
object that you can use to access the content of the PDF file.
Please note that parsing PDF files can be complex and may not always produce accurate results, especially for PDF files that contain complex layouts or non-textual content. If you need to extract data from the PDF files, you might want to consider using a third-party OCR service, such as Google Tesseract, Amazon Textract, or Microsoft OCR.
Also, keep in mind that the PDF file must be available without login. You can use the File.isOnline
property in NetSuite to make the file available online.
Please note that this is a general approach and may need to be adapted to your specific needs and environment.Celigo AI
03/15/2025, 6:48 AMSlack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.823803604
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.822833419
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.816872418
Celigo AI
03/15/2025, 6:48 AM