How to Split a Multi-Document PDF Using JavaScript and Google Cloud Document AI
Introduction
In this tutorial, I will guide you through a process of splitting a PDF that contains multiple documents using JavaScript, Google Cloud’s Document AI, and the pdf-lib library. This feature is useful when you have a PDF with several documents, each identified by page numbers (e.g., “Page 1 of 2” for the first document, “Page 1 of 3” for the second document, etc.). Document AI will help extract page number data, and then we’ll split the PDF accordingly.
Step 1: Understanding the Problem
Consider a PDF with multiple documents, each identified by page numbers:
- The first document has 2 pages, labeled “Page 1 of 2”, “Page 2 of 2”.
The second document has 3 pages, labeled “Page 1 of 3”, “Page 2 of 3”, “Page 3 of 3”. We’ll use OCR (Optical Character Recognition) to extract these page numbers and split the PDF into separate files for each document.

Step 2: Setting Up Google Cloud Document AI
To OCR the page numbers, we will use Google Cloud Document AI’s Custom Extractor.
1. Create a Google Cloud Account if you don’t have one.
2. Set up Document AI by searching for it in the GCP Console

3. Create a Custom Processor by selecting the Custom Extractor model.

4. Select Custom extractor as our processor.

5. Upload Training Documents: Upload sample PDFs to train our processor .

6. Create Labels: Annotate the page numbers and total page count fields, creating two labels: page_no and page_total. For optimal accuracy, label at least 100 pages across 20 documents.


7. Train and Deploy the model.
Step 3: Extracting Page Numbers from the PDF Using Document AI
Once the processor is trained and deployed, you can extract labeled data like page numbers and total pages from the PDF. Here’s how we do it in JavaScript:
1const name = `projects/${projectId}/locations/${location}/processors/${processorId}`;2const buffer = await getTheArrayBufferFromPdfUrl(s3Url);3const encodedImage = Buffer.from(buffer).toString('base64');45const request = {6 name,7 rawDocument: {8 content: encodedImage,9 mimeType: 'application/pdf',10 },11};1213const [result] = await client.processDocument(request);14const { document } = result;15const { entities } = document;16const pages = formatData(entities);17const pagesToSplit = getPdfPagesToSplit(pages);
This function organizes the extracted data into a structured array containing each page’s number and total page count.
Step 4: Identifying Document Boundaries
We then determine the starting and ending pages for each document inside the PDF:
1getPdfPagesToSplit = (pages) => {2 const pdfPages = [];3 let count = 0;4 let skipCount = 0;56 for (const page of pages) {7 count++;8 if (skipCount) {9 skipCount--;10 continue;11 }1213 if (page.page_total == 1) {14 pdfPages.push({ number: +page.number + 1, start: count, end: count });15 } else if (page.page_total > 1) {16 skipCount = page.page_total - 1;17 pdfPages.push({ number: +page.number + 1, start: count, end: count + +page.page_total - 1 });18 }19 }2021 return pdfPages;22};2324 },25};2627const [result] = await client.processDocument(request);28const {document} = result;29const {entities} = document;30const pages = formatData(entities);31const pagesToSplit = getPdfPagesToSplit(pages);
Step 5: Splitting the PDF Using pdf-lib
Once we have the start and end pages, we can split the PDF using pdf-lib:
1extractPdfPage = async (arrayBuff, pageToSplit) => {2 const pdfSrcDoc = await PDFDocument.load(arrayBuff);3 const pdfNewDoc = await PDFDocument.create();4 const pages = await pdfNewDoc.copyPages(pdfSrcDoc, range(pageToSplit.start, pageToSplit.end));5 pages.forEach(page => pdfNewDoc.addPage(page));67 const newPdf = await pdfNewDoc.save();8 return newPdf;9};
Here, pdf-lib copies and saves the pages of each document as a new PDF.
Step 6: Upload or Download the Split PDFs
Now, we can take the split PDFs from SplittedPdfs and either upload them to a cloud service or download them to the user’s machine:
1const SplittedPdfs = [];2for (const pageToSplit of pagesToSplit) {3 const splittedPdf = await extractPdfPage(imageFile, pageToSplit);4 SplittedPdfs.push(splittedPdf);5}6// Now you can use SplittedPdfs as per your needs.
Conclusion
This tutorial demonstrates how to split a multi-document PDF using JavaScript, Document AI, and pdf-lib. We covered setting up Document AI, extracting page numbers, and splitting the PDF based on those page numbers. With these steps, you can easily implement this feature in your own applications.
Production Ready ( Quality, performance, and the lessons learned shipping to 150 stores )
We chose dbt over custom scripts, built observability, optimized performance, and shipped to production...
Read MoreScaling from 15 to 150 Stores ( When copy-paste becomes technical debt, macros become salvation )
We built a pipeline with observability, incremental models for performance, and snapshots for history. Our 15-store deployment ran smoothly...
Read MoreKeeping Your Data Fresh: ( The wake-up call at 3am that taught us about observability )
That morning taught us a crucial lesson: a successful dbt run doesn't mean your data is fresh, accurate, or complete. You need observability.
Read MoreRetail Data Chaos: How We Found Our Way Out ( When spreadsheetsfail and databases multiply, where do you turn? )
Picture this: You're managing data for a growing retail chain. Store afterstore opens New York, San Francisco, Los Angeles—each with its own MySQL database...
Read MoreSecuring Your AI-Powered Future (How Authorization Ensures Safe and Appropriate Access)
Discover how authorization in MCP ensures secure, role-based access for AI-powered business workflows...
Read MoreProtecting Your AI-Powered Systems (How Rate Limiting Ensures Stability and Performance)
MCP connects AI to your applications (Episode 1) and enables powerful self-service analytics (Episode 2)...
Read MoreAI-Powered Analytics (How MCP Enables Self-Service Reporting Without Developers)
One of the most powerful applications of MCP is enabling self-service analytics. Product owners, managers, and business analysts...
Read MoreAI Meets Your Applications (What is MCP and Why Your Business Needs It Now)
Traditional application programming interfaces (APIs) have served us well, but they require technical knowledge. Developers need to understand endpoints...
Read MoreWhy Building the Right MVP Architecture No Longer Slows You Down
Just build a simple monolith for your MVP. You can fix the architecture later...
Read More