Table Extraction
Convert tables from images into downloadable Excel files(CSV.). Quickly turn visual or scanned tables into structured spreadsheets for easy analysis.
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Up to 10 files · processed locally
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Transform Images to Excel(CSV.) Tables FastExtract tables from images and export them as Excel files(CSV.) in just a few clicks with Thunderbit.
Install fromChrome Web Store
Transform Images to Excel(CSV.) Tables Fast
Thunderbit’s Table Extraction tool lets you upload images containing tables and automatically converts them into structured Excel files(CSV.). No manual data entry or formatting required—just upload your file and download the results.
Thunderbit’s AI-powered extraction works on scanned documents, PDFs, and images, making it ideal for digitizing reports, invoices, or research data. Export your tables directly to Google Sheets, Airtable, or Notion for further analysis and collaboration.
How to Extract Tables to Excel(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 ExtensionNavigate to the image containing the table you want to extract. Open the Thunderbit Chrome Extension and select the "Table Extraction" tool from the menu. Upload your image or document by dragging and dropping it into the provided area.
STEP 3Click the Extract Table to Excel(CSV.) ButtonClick the "Extract Table to Excel(CSV.)" button. Thunderbit will analyze your file, detect all tables, and convert them into an Excel（CSV.） file. Once the extraction is complete, download the Excel(CSV.) file to your device for further use.
Learn how to convert tables from images into Excel files(CSV.)
Extract Tables from Images
The Table Extraction tool allows you to upload images containing tables and automatically converts them into structured Excel files(CSV.). This feature is ideal for professionals who frequently receive data in non-editable formats, such as scanned reports or screenshots. By transforming these tables into editable spreadsheets, you can quickly analyze, edit, or share the data without manual re-entry, saving significant time and reducing errors.
Detect Multiple Tables and Preserve Structure
With advanced detection capabilities, the tool identifies all tables within a single file, even if there are multiple tables present. Each table is extracted with its original headers and row structure, ensuring that no information is lost or misrepresented. This is especially useful for users who work with complex documents, such as financial statements or research papers, where multiple tables need to be captured accurately.
Export Data Directly to Excel(CSV.)
Once the tables are extracted, you can download them as Excel files(CSV.) for immediate use. The exported data maintains the original table formatting, making it easy to integrate into your existing workflows. Whether you need to perform calculations, create charts, or share the data with colleagues, the Excel output ensures compatibility with popular productivity tools and streamlines your data management process.
Simplify Data Collection for Research and Reporting
Researchers, analysts, and business professionals can use this tool to quickly gather tabular data from a variety of sources, including scanned documents, academic articles, and printed reports. By automating the extraction process, you can focus on analyzing the data rather than spending hours on manual data entry. This capability is particularly valuable for compiling large datasets or preparing reports that require accurate and organized information.
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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.
