PDF to CSV Converter
PDF to CSV Converter
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Convert tables in PDF files into clean CSV for spreadsheets. Upload a PDF and download structured rows and columns in seconds. Ideal for invoices, reports, and statements.
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Convert Web Data into Clean TablesUse the Thunderbit Chrome extension to scrape and extract structured data fast from websites, subpages, PDFs, docs, and images. Automate collection and export to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Convert Web Data into Clean Tables
Collect data from websites in a repeatable way with Thunderbit’s AI-powered scraping: click AI Suggest Fields, then Scrape to turn pages, subpages, PDFs, docs, and images into structured tables. Clean up results by summarizing, categorizing, and formatting fields so your dataset is ready to use.
Export your extracted tables to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use pagination and subpage scraping to enrich each row with details from linked pages, and schedule runs to keep datasets up to date.
How to Convert PDF Tables to CSV 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, then open the PDF to CSV Converter tool. In the "Upload a PDF" tab, upload one PDF file (up to 20MB) that contains the tables you want to extract, such as an invoice or report. Confirm the correct file is attached before running the conversion.
STEP 3Click the Convert PDF to CSV ButtonClick the "Convert PDF to CSV" button to start processing. Thunderbit will detect tables in the uploaded PDF and output CSV text that matches the table structure as closely as possible. If multiple tables are found, they will be output in order with a blank line between them and a header line like "# Table: (Page )". Download or copy the resulting CSV and save it as a .csv file, then open it in Excel or import it into Google Sheets, Airtable, or Notion. If the PDF contains no tables, the tool will return: "No tables found in the provided PDF."
Learn how to convert PDF tables into CSV files
Upload a PDF and extract tables
Upload a single PDF (up to 20MB) and Thunderbit will detect tabular content and extract it into structured rows and columns. This helps teams avoid manual copy-paste from reports, invoices, statements, and catalogs. It is built for business users who need spreadsheet-ready data from PDFs, including sales ops, finance, ecommerce operations, and analysts working with vendor documents.
Convert detected tables into CSV text
The converter outputs CSV-formatted text that matches the table layout as closely as possible, keeping cells aligned and leaving blanks where the PDF has empty values. If the PDF contains multiple tables, it outputs them in order with clear table markers and a blank line between tables, so you can split or import them as needed. If no tables are detected, it returns a clear notification.
Import CSV into spreadsheets and databases
Use the CSV output to populate Excel or Google Sheets for sorting, filtering, and pivot tables, or load it into Airtable or Notion for lightweight database workflows. This is useful when you need to reconcile invoice line items, analyze transaction tables, or standardize vendor price lists. Because the output is plain CSV, it also works well with BI tools and internal data pipelines.
Turn PDF documents into repeatable workflows
Apply the tool to recurring documents such as monthly statements, purchase orders, shipping manifests, and performance reports. Operations teams can convert tables into a consistent format for audits and reporting, while sales and marketing teams can extract partner lists or event rosters from PDF brochures. When tables are spread across pages, the tool outputs each table in sequence for review and consolidation.
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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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