5 Things to Do Before Batch Processing Your PDFs (Save Hours of Cleanup)

Batch processing a folder full of PDFs sounds like a productivity dream — until you open the resulting spreadsheet and find garbled text, missing rows, and columns that don't line up. More often than not, the problem isn't the tool. It's what happened before you ran it.

Whether you're extracting invoice data, converting bank statements, or pulling tables from scanned reports, a few minutes of preparation can be the difference between a clean, usable Excel file and an hour of manual corrections. Here's exactly what to do before you start.

1. Audit Your File Set for Consistency

Not all PDFs are created equal. Before processing a batch, scan through your files and identify what you're actually working with. Are they all digitally generated, or are some scanned images? Do they all follow the same layout, or do templates vary across years, vendors, or departments?

• Group files by type: Separate digitally-generated PDFs from scanned ones. They behave differently during extraction.
• Flag layout outliers: A single file with a wildly different column structure can throw off your entire output if you're merging into one table.
• Check file size: Unusually large files may contain embedded images or unnecessary elements that slow processing.

If you're merging data from many documents into a single spreadsheet, Tablola's merge multiple documents into one table preset works best when the source files share a consistent structure.

2. Clean Up Scanned Documents Before You Upload

Scanned PDFs are the most common source of extraction errors. A skewed scan, low resolution, or dark background can cause OCR to misread numbers as letters and split values across cells unpredictably.

• Ensure resolution is at least 150 DPI — 300 DPI is ideal for tables with small text.
• Straighten skewed pages: Even a few degrees of rotation can degrade OCR accuracy. Use PDF rotation to correct orientation before processing.
• Remove blank pages: Blank pages add noise and can cause row misalignment in bulk extractions. The blank page remover handles this automatically.

Why this matters: OCR on a clean, straight, high-resolution scan can exceed 99% accuracy. On a poor scan, that drops below 85% — which means errors in roughly 1 in 6 values.

Once your scanned files are cleaned up, Tablola's scanned PDF to Excel converter preset is designed to handle this format reliably.

3. Standardize File Naming and Folder Structure

This step is easy to skip and painful to regret. When you process dozens or hundreds of files at once, tracing an error back to its source document becomes nearly impossible if your files are named scan001.pdf, scan002.pdf, and so on.

• Use a consistent naming convention: VENDOR_INVOICENUMBER_DATE.pdf is a reliable pattern.
• Keep all files for a single batch in one folder — avoid subfolders unless your tool explicitly supports recursive processing.
• Remove any password-protected files from the batch before starting; they'll cause the job to stall or fail silently.

4. Define Exactly What Data You Need to Extract

It sounds obvious, but many users begin processing without clearly defining which fields they want to capture. The result is either too much data (requiring cleanup) or too little (requiring a second pass).

Before you start, write down:

1. The exact column names you want in your final spreadsheet.
2. Which pages to extract from (first page only? all pages? specific sections?).
3. How to handle fields that are sometimes missing — should they appear as empty cells or be skipped?

Using a preset aligned to your document type makes this step much easier. For example, the invoice to Excel preset already knows to look for fields like vendor name, date, line items, and total — so you don't have to configure each one manually.

5. Run a Small Test Batch First

Never kick off a 500-file batch without testing on a representative sample. Pick 5–10 files that cover the range of layouts and quality levels in your set, run the extraction, and review the output carefully before committing the full batch.

• Check that numeric fields (amounts, quantities, dates) are parsed correctly and not split across columns.
• Verify that multi-line cells are handled the way you expect — some tools merge them, others don't.
• Confirm the column order matches your intended schema before scaling up.

A test run takes five minutes. Cleaning up a botched 500-file extraction can take hours.

One final tip: If your PDFs vary significantly in quality or layout — a common reality when documents come from multiple vendors or span several years — consider compressing oversized files before uploading to speed up processing. Tablola's bulk PDF compression tool can reduce file sizes without degrading text quality, keeping your batch jobs fast and stable. A little preparation upfront always pays off downstream.