PNG to Excel Converter

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Convert PNG table images into structured Excel spreadsheets using OCR. Preserve rows, columns, and key formatting to speed up data entry and reporting.
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Convert Web Tables into Clean SpreadsheetsUse Thunderbit to scrape and extract structured data from websites in minutes with AI-guided setup. Automate collection across pages and export to Sheets, Airtable, or Notion.
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Convert Web Tables into Clean Spreadsheets

Collect tables and records from websites, subpages, and paginated lists with Thunderbit’s AI Web Scraper Chrome Extension. It can also pull data from PDFs, docs, and images, then summarize, categorize, and format fields into a clean dataset you can trust. After extraction, send results to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use AI Suggest Fields to define columns fast, then run subpage scraping to enrich each row with details from linked pages.

How to Convert PNG 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 PNG to Excel Converter tool. In the "Upload a PNG Image" tab, drag and drop your PNG file into the upload field. Optionally set "OCR language" to match the primary language in the image, choose a "table detection accuracy" level based on your speed versus accuracy needs, and confirm whether to preserve basic formatting in the Excel output.
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STEP 3Click the Convert PNG to Excel ButtonClick the "Convert PNG to Excel" button to start processing. Thunderbit will run OCR, detect the table structure, and generate a structured result that can be downloaded as an Excel (.xlsx) file. After the conversion finishes, download the Excel file, or export the extracted table data to Excel-compatible destinations such as Google Sheets, Airtable, or Notion.

Learn how to convert PNG tables into Excel spreadsheets

Convert PNG images into structured Excel tables

Turn PNG screenshots, scanned pages, and exported charts into an Excel-ready table using OCR and table-structure detection. Upload one PNG that contains rows and columns, then generate a downloadable .xlsx output that keeps the original row and column order. This is built for teams who receive data as images and need it in spreadsheets for reporting, analysis, and record keeping.
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Improve OCR accuracy with language and table detection controls

Choose an OCR language (or auto-detect) to better recognize characters, accents, and non-Latin scripts. Adjust table detection accuracy to prioritize speed or capture more cell boundaries when lines are faint or layouts are dense. You can also enable formatting preservation to keep headers, alignment cues, and Excel-friendly values like numbers, dates, and currencies, reducing cleanup after conversion.
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Digitize printed reports, invoices, and scanned tables for operations

Use the converter to digitize tables from printed reports, receipts, invoices, and scanned documents when the source file is not available as CSV or Excel. Operations and finance teams can move image-based data into spreadsheets for reconciliation, auditing, and monthly reporting. It also helps when vendors share pricing lists or inventory tables as screenshots rather than editable files.
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Prepare spreadsheet data for analysis and sharing across tools

After conversion, the Excel output can be used for sorting, filtering, pivot tables, and charting, or shared with stakeholders who rely on .xlsx workflows. The structured table format also makes it easier to copy data into other systems such as Google Sheets, Airtable, or Notion when needed. This supports sales, ecommerce, and real estate teams that track lists, comps, and catalogs from image sources.
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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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