Free online PDF to excel converter
Convert PDF tables to Excel (.xlsx) entirely in your browser. Files never leave your device.
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Convert Web PDFs into Excel FastUse Thunderbit to scrape tables from web pages, subpages, and PDFs with AI. Extract structured data and export to Sheets, Airtable, or Notion in a few clicks.
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Convert Web PDFs into Excel Fast
Collect tables and key fields from PDFs, web pages, and linked subpages using Thunderbit’s AI-powered scraping. Turn messy documents, images, and online listings into structured rows and columns, then summarize, categorize, or format the results for analysis.
Export your extracted data to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use pagination and subpage scraping to capture complete datasets, and schedule recurring runs to keep your spreadsheets up to date.
How to Convert PDF to Excel Using Thunderbit
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.
STEP 2Open ExtensionOpen the Thunderbit Chrome Extension in Chrome, then open the PDF you want to convert (either in a browser tab or from a page that provides the PDF). In Thunderbit, select the tool named "Free Online PDF to Excel Converter" and go to the "Upload PDF(s)" tab. Upload your file(s) using the "pdf_files" uploader, or drag and drop PDF files into the upload area.
STEP 3Click the Convert PDF to Excel ButtonClick the "Convert PDF to Excel" button. Thunderbit will process each uploaded PDF, detect tables and structured content, and prepare an Excel output that preserves the original row and column structure as much as possible. Review the conversion summary for any warnings (for example, scanned PDFs that require OCR), then download the generated .xlsx file(s) and save them to your device.
Learn how to convert PDFs into Excel spreadsheets online
Upload PDF files for conversion
Convert one or multiple PDF documents into downloadable Excel files by uploading or dragging and dropping PDFs into the tool. It’s designed for business users who receive reports, invoices, statements, or catalogs in PDF and need editable spreadsheets. Batch upload helps teams process recurring documents faster, reducing manual copy-paste and keeping the original table layout as intact as possible.
Preserve tables and structure in Excel output
The converter focuses on extracting tabular data and structured content from PDFs and mapping it into .xlsx format with rows, columns, and table boundaries preserved where possible. It also flags common issues such as scanned PDFs that require OCR, low-confidence table detection, or merged cells that may need review. This is useful for analysts and operations teams who need reliable, spreadsheet-ready data.
Turn PDF reports into analysis-ready spreadsheets
Use the tool to move data from PDF reports into Excel for sorting, filtering, formulas, and pivot tables. Common scenarios include finance teams converting bank statements, procurement teams converting vendor price lists, and ecommerce operators converting product spec sheets. By starting from a structured .xlsx output, teams can standardize reporting and reduce errors that come from retyping values.
Prepare extracted data for downstream workflows
After conversion, the Excel output can be used as a staging file for broader workflows such as importing into Google Sheets, Airtable, or Notion, or feeding cleaned tables into BI tools and internal databases. This is helpful when you need a consistent, editable format before enrichment or automation. For scanned PDFs, plan an OCR step first to improve extraction quality and reduce manual fixes.
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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.