No text layer in scanned PDFs
When a PDF is created from a scanner, the content is stored as images. Standard text extraction finds nothing. OCR recognizes characters from the image pixels.
Scanned PDF → Excel · OCR powered
Extract tables from scanned PDFs using OCR (Optical Character Recognition). The tool recognizes text from images and reconstructs table structure. All processing runs locally — no uploads, completely free.
Drop your PDF here
or click to browse — tables are detected automatically
Supports text-based and scanned PDFs up to 50MB
Need to extract tables from live web pages? Try the Table Extractor extension.
Get the extensionThe scanned PDF problem
Scanned PDFs are essentially images — no selectable text. Standard extractors return nothing. BAngleTools uses OCR to recognize text from images and reconstruct tables.
When a PDF is created from a scanner, the content is stored as images. Standard text extraction finds nothing. OCR recognizes characters from the image pixels.
OCR runs in a Web Worker so it doesn't block your browser. Progress is shown in real-time so you know exactly how far along the recognition is.
Online OCR tools send your scanned documents to their servers. BAngleTools runs OCR entirely in your browser — your scanned documents stay private.
OCR isn't perfect. The preview shows recognized text with editable cells so you can fix misread characters before exporting to Excel.
Tesseract.js supports 100+ languages. The tool auto-detects the document language and uses the appropriate OCR model.
No need for Adobe Acrobat, ABBYY FineReader, or command-line OCR tools. Open the page, upload your scanned PDF, and get Excel output.
How it works
BAngleTools Scanned PDF to Excel converter combines two technologies: Mozilla's pdf.js for reading PDF pages as images, and Tesseract.js for OCR (Optical Character Recognition). When you upload a scanned PDF, pdf.js renders each page to a canvas, and Tesseract.js recognizes text from the rendered image inside a Web Worker.
The OCR engine analyzes the image pixel by pixel, identifies character shapes, and maps them to text using language models. It then passes the recognized text (with positional data) to the same table detection algorithm used for text-based PDFs, reconstructing rows and columns from the text positions.
All processing happens locally in your browser. The OCR engine runs inside a Web Worker, so your browser stays responsive during recognition. Your scanned documents — whether they are medical records, legal filings, or historical archives — never leave your device.
Who uses this
Convert printed tables, invoices, and forms that were scanned to PDF into editable Excel spreadsheets without retyping.
Extract tabular data from scanned historical documents, census records, and old reports for digital preservation and research.
Extract data from scanned medical test results, lab reports, and patient records into structured Excel format — all locally for privacy compliance.
Convert scanned court filings, contracts, and legal tables into editable Excel data for case management and analysis.
Turn scanned receipts and supplier invoices into Excel data for expense tracking, bookkeeping, and reimbursement processing.
Extract tabular data from scanned government forms, tax filings, and regulatory submissions into structured Excel format.
Step by step
FAQ
Yes, BAngleTools scanned PDF to Excel converter is completely free with no usage limits, no registration, and no watermarks. OCR runs in your browser at no cost.
No. Both the PDF rendering and OCR recognition happen entirely in your browser using Web Workers. Your scanned documents are never uploaded to any server. This is critical for sensitive documents like medical records and legal filings.
The tool uses Tesseract.js, a JavaScript port of the Tesseract OCR engine originally developed by HP and maintained by Google. It supports 100+ languages and runs entirely in the browser.
OCR accuracy depends on the quality of the scan. Clear, high-resolution scans with good contrast achieve 95%+ accuracy. Faded, skewed, or low-resolution scans produce more errors. The preview lets you correct any misread characters before exporting.
Yes. The preview shows the recognized table with editable cells. Click any cell to correct OCR errors, fix column alignment, or clean up data before downloading.
OCR processing time depends on the number of pages and the scan quality. A typical single-page scan takes 5-15 seconds. Multi-page documents take proportionally longer. Progress is shown in real-time.
Tesseract.js supports 100+ languages including English, Chinese, Japanese, Korean, Arabic, Hindi, Bengali, and many more. The tool auto-detects the document language.
The maximum PDF file size is 50MB. Since OCR is computationally intensive, very large scanned PDFs may take several minutes to process. For best performance, use a desktop browser.
Related tools
Upload a scanned PDF, run OCR, preview the results, and download as Excel. No signup, no upload, completely free.