How to Compare Bids from PDFs: 4 Methods, Ranked by Effort

You have six proposal PDFs and you need one comparison table. There are four realistic ways to get the numbers across, and they differ mostly in where the work lands: on you up front, or on you at checking time.

Method 1: Copy-paste by hand

Open each PDF, find each field, type it into the spreadsheet.

This is what most people actually do, and for two or three short, digitally-born proposals it's fine. It breaks down at real scale in three places: the fields live on different pages (price in the bid letter, revenue in the financial appendix), scanned proposals can't be copied at all, and at the end you're left with a table whose numbers have no recorded source — so the checking pass means a second full read.

Cost: roughly 30-60 minutes per proposal, plus a checking pass that often exceeds the filling time. Best for: one-off comparisons of two or three short, text-based PDFs.

Method 2: Adobe Acrobat export

Acrobat Pro can export a PDF to Excel directly (File → Export To → Spreadsheet).

What you get is a faithful reproduction of each page as a spreadsheet — which is the wrong shape. You don't want page 4 of the Halcyon proposal as a grid; you want Halcyon as a row, with the price in the same column as everyone else's. An Acrobat export leaves you with six differently-shaped grids and the same manual assembly as Method 1. It also does nothing useful with scans.

Cost: the export is seconds; the assembly is still 20-40 minutes per proposal. Best for: extracting one specific pricing schedule page that you need as a working grid.

Method 3: Generic PDF-to-Excel converters and OCR tools

There is a long tail of free converters (iLovePDF, Smallpdf, and friends), and OCR tools for the scans. They solve the "can't copy from a scan" problem, which is real.

The limits show up in the same two places. First, the shape problem again: these tools convert pages, not meaning, so you're still assembling the comparison row by hand from six converted files. Second, checking: a converter gives you a number with no link back to where it came from, and a wrong number from an OCR tool looks exactly like a right one. If someone on the evaluation committee asks "where is this figure from," you're back in the PDFs.

Cost: minutes to convert, but the assembly and checking are still yours. Best for: getting a scanned pricing schedule into editable form before Method 1.

Method 4: A purpose-built extraction tool (Docabra)

This is the category our product sits in, so judge accordingly — but the shape is genuinely different: you upload the whole batch of proposals, define the columns once, and get back the comparison table itself, one row per bidder. Scanned and digital PDFs are handled the same way.

The part that matters at evaluation time: every cell keeps its source. Click a number and the PDF opens at the page it was read from, with the exact words highlighted. The checking pass — the part that usually costs a day — becomes spot-checking the blanks and the outliers.

Cost: minutes for the batch, plus a review of whatever the tool flags. Best for: four or more proposals, any of them scanned, or any table you'll have to defend later.

Try it on a real example — six proposals, two scanned, already tabulated, no signup.

An honest summary

For two proposals, use Method 1 and don't overthink it. Past four — or the moment one proposal arrives as a scan — the manual methods stop being cheaper, they just feel that way because the cost lands later, at checking time.

Whichever method you use, the table itself deserves some thought first: which columns, and which fields get compared wrong even when copied right. That's in How to Compare Contractor Bids, and there's a ready-made structure in the bid tabulation template.