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Advanced AI accurately extracts all text from your PowerPoint slides including titles, bullet points, speaker notes, and text boxes.
Text is organized by slide with clear hierarchy—titles, subtitles, and body content are properly separated.
Extract text from multiple presentations at once. Perfect for content audits and documentation projects.
Export extracted text as plain TXT, formatted Word document, or copy directly to clipboard.
Extract text from PowerPoint free online — upload any .pptx or .ppt file and pull every word, bullet, speaker note, and table cell into clean copy-pasteable text in under 15 seconds. Export as .txt, .docx, Markdown, or JSON for translation, indexing, SEO analysis, or AI fine-tuning. We preserve slide order, title hierarchy, speaker notes, and table structure so the output reads like a proper document, not a jumble. Works on locked files after password removal, handles Arabic/RTL text cleanly, and supports bulk extraction across multiple decks at once on Pro.
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Yes — speaker notes are extracted under each slide heading, clearly separated from slide body text. You can toggle notes off if you only want visible content.
Our Pro plan runs OCR on embedded images so you capture text that was rasterized. Free tier extracts only native text frames.
Yes — Arabic, Hebrew, Chinese, Japanese, and Korean extract with correct character ordering, preserved diacritics/ligatures, and proper direction markers.
Tables keep their row/column structure. Markdown and DOCX outputs render them as real tables; .txt uses tab-separated values; JSON outputs a 2D array per table.
Files are encrypted in transit (TLS 1.3), processed in an isolated sandbox, and permanently deleted within 60 minutes. We never read, store, or share your content.
Remove the password first using our 'Remove PowerPoint Password' tool, then extract. We don't attempt to bypass open-password encryption during extraction.
Free: up to 50 MB per deck. Pro: up to 500 MB plus bulk extraction across unlimited files with a combined export.
Yes — slides appear in the original order with slide numbers as section headings, so the extracted text reads as a logical narrative.