PDF to Excel Converter

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Turn PDF tables into editable Excel files. Keep rows, columns, and formatting for accurate analysis. Download clean .xlsx results in minutes.
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Extract Structured Data from Any SiteUse Thunderbit to scrape websites and extract structured data fast with AI. Automate collection from subpages and export to Sheets, Airtable, or Notion.
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Extract Structured Data from Any Site

Collect structured data from websites in a few clicks with Thunderbit’s AI Web Scraper Chrome extension. Scrape listings, follow subpages to enrich rows, and extract details from PDFs, docs, and images, then summarize, categorize, or format fields into a clean table. Export results to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use cloud scraping for speed on public pages, or browser scraping for logged-in workflows, and schedule recurring scrapes to keep datasets up to date.

How to Convert PDFs to Excel Using Thunderbit

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STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
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STEP 2Open ExtensionOpen the Thunderbit Chrome Extension, then select the "PDF to Excel Converter" tool. In the "Upload PDF(s)" tab, add your file(s) by dragging and dropping up to 10 PDFs into the upload area or clicking to browse. If you only need certain pages, set "page_selection_mode" to "specific_pages" and enter page numbers or ranges in "pages_to_convert" (for example, 1,3,5-7). If you want the whole document, keep "page_selection_mode" set to "all_pages" or leave "pages_to_convert" blank.
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STEP 3Click the Convert to Excel ButtonClick the "Convert to Excel" button to start the conversion. Thunderbit will extract tables and structured data from the PDF and generate an .xlsx file that preserves the original table structure, cell layout, and formatting as closely as possible. When processing finishes, download the resulting Excel file(s). If you uploaded multiple PDFs, you will receive one .xlsx per PDF, named after the original file, and you can save each file to your device for editing and analysis.

Learn how to convert PDFs into editable Excel spreadsheets

Convert PDF tables into Excel

Turn one or multiple PDF files into editable .xlsx spreadsheets while keeping tables readable and structured. The converter extracts rows, columns, and key data fields so you can sort, filter, and analyze in Excel instead of retyping content by hand. It’s built for analysts, operations teams, finance users, and anyone who receives reports or statements in PDF form and needs usable spreadsheet data.
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Select pages and preserve layout

Choose to convert all pages or only specific pages using page numbers and ranges such as 1,3,5-7. This helps when a PDF includes cover pages, charts, or appendices you do not need in Excel. The tool focuses on maintaining the original structure, including headers, alignment, and common number or date formats, so the resulting spreadsheet is easier to review and edit.
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Streamline reporting and analysis workflows

Use the converter to move recurring PDF reports into Excel for monthly close, KPI tracking, and ad hoc analysis. Common scenarios include vendor price lists, invoices, bank statements, logistics summaries, and audit-ready tables. By converting only the pages that matter and keeping columns aligned, teams reduce manual cleanup and can get to pivot tables, formulas, and reconciliation work faster.
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Handle batches and share editable outputs

Upload up to 10 PDFs at a time and receive one Excel file per PDF, typically named after the original document for easy organization. This is useful for agencies, back-office teams, and researchers who process many documents and need consistent outputs for collaboration. Once converted, the .xlsx files can be edited, reviewed, and shared across stakeholders using standard Excel-based processes.
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What users say about Thunderbit

Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.

Frequently Asked Questions

Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
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