Extract Contract & Quote Data into Excel Automatically | Tablola

Every week, legal assistants, procurement officers, and operations managers spend hours doing the same tedious job: opening a contract or supplier quote, hunting for the key figures—prices, dates, parties, quantities—and typing them into a spreadsheet. It is slow, error-prone, and frankly a waste of skilled time.

The good news: this is exactly the kind of repetitive, structured task that AI handles extremely well. This guide walks you through how to go from a pile of contracts or quotes to a clean, ready-to-analyze Excel table in minutes—without writing a single formula or macro.

Step 1: Identify the Data Fields You Actually Need

Before touching any tool, spend five minutes listing the columns your spreadsheet should contain. Different teams need different fields:

Legal teams: party names, contract start/end dates, notice periods, governing law, penalty clauses
Procurement teams: supplier name, item descriptions, unit prices, quantities, payment terms, delivery dates
Operations / management: contract value, renewal dates, responsible owner, status

Having a clear field list upfront means the AI extraction will be focused and consistent across all your documents. It also makes it much easier to spot missing data at a glance once the table is built.

Step 2: Gather Your Documents in One Place

Contracts and quotes arrive in all formats—scanned PDFs from a scanner, digital PDFs from DocuSign or Word exports, and sometimes photos taken on a phone. The format does not matter as long as you collect them together before you start.

If your PDFs need any tidying before extraction—removing blank pages, cropping scanned borders, or splitting a large multi-contract file into individual documents—Tablola's free tools handle these quickly. For example, you can remove blank pages from a PDF or split a PDF into separate files before processing.

Step 3: Choose the Right Extraction Preset

Rather than building an extraction template from scratch every time, Tablola offers ready-made presets—pre-configured workflows that know what to look for in common business documents.

For contracts and quotes, the most relevant presets are:

PDF to Excel Converter — general-purpose extraction for any structured PDF
Purchase Order to Excel — optimized for supplier POs and quote line items
Scanned PDF to Excel Converter — handles image-based PDFs (OCR included)
Invoice to Excel — useful when quotes are formatted like invoices

Pick the preset closest to your document type. You can always fine-tune the output columns after the first run.

Step 4: Upload and Run the Extraction

Upload your documents—one or many at once—and let the AI read through each file. Tablola's engine identifies tables, key-value pairs, and paragraph-level data (such as a clause buried in dense legal text) and maps it to the columns you defined.

For teams processing many contracts at once, the Merge Multiple Documents into One Table preset is especially useful: it pulls data from every file and stacks the results into a single consolidated spreadsheet, with a source column so you always know which row came from which document.

Real-world example: A procurement team dealing with 40 supplier quotes for an annual tender can upload all 40 PDFs at once. Within a few minutes they have a single Excel file comparing unit prices, lead times, and payment terms side by side—ready for analysis, no copy-pasting required.

Step 5: Review and Edit with AI Assistance

AI extraction is highly accurate, but contracts often contain ambiguous language or non-standard layouts. Always do a quick review pass:

Check that dates are in a consistent format (important for sorting and filtering)
Confirm numeric values like prices and quantities haven't been split across cells
Look for any "N/A" or empty cells that might indicate a field the AI couldn't locate—worth checking the source document manually

Tablola's built-in AI table editor lets you correct, reformat, or enrich the data without leaving the platform. You can ask it to standardize currency formats, flag contracts expiring within 90 days, or split a "Party Names" field into separate "Client" and "Vendor" columns—all in plain language, no formulas needed.

Step 6: Export and Integrate into Your Workflow

Once the table looks right, export it as an .xlsx file and drop it into whichever system your team uses—Excel, Google Sheets, a contract management platform, or a shared drive. Because the output is a standard spreadsheet, there is nothing proprietary to deal with.

For recurring processes (monthly supplier quote reviews, quarterly contract renewals), save your preset configuration so the next run takes seconds rather than minutes.

Which Teams Benefit Most?

This workflow pays off fastest for teams that deal with high document volumes or tight deadlines:

Legal & compliance: Build a contract register from scratch in an afternoon instead of a week
Procurement: Compare vendor quotes in a unified table without a single keystroke of manual entry
Finance: Track payment milestones and contract values across dozens of agreements at once
Operations / management: Get a live snapshot of renewal dates and contract statuses without chasing colleagues for updates

One practical tip before you start: if your contracts are scanned at a low resolution or the scan is skewed, extraction quality will suffer. Use Tablola's PDF crop tool to clean up borders and margins on scanned files before uploading—it takes under a minute and noticeably improves OCR accuracy on dense legal text.