A step-by-step guide to building a browser-based PDF OCR tool using JavaScript, PDF.js, and Tesseract.js. Covers the full workflow: uploading PDFs, rendering page previews, configuring OCR settings (language, accuracy mode, image enhancement), extracting text page by page, tracking progress, reviewing confidence scores, and exporting results as TXT or JSON. All processing runs locally in the browser, so documents never leave the user's device. Includes performance tips and common mistakes to avoid.
Table of contents
Table of ContentsWhy PDF OCR Is UsefulHow PDF OCR WorksProject SetupWhat Libraries Are We Using?Creating the Upload InterfacePreviewing Uploaded PDF PagesConfiguring OCR SettingsExtracting Text from the PDFTracking OCR ProgressUnderstanding OCR Confidence ScoresOptimizing OCR AccuracyReviewing the Extracted TextExporting the OCR ResultsDemo: How the PDF OCR Tool WorksPerformance Optimization TipsImportant Notes from Real-World UseCommon Mistakes to AvoidConclusion7.7K Impressions2 Comments