Extract Text from PowerPoint: Getting the Words Out of .pptx Files
Try searching a shared drive for the phrase "churn assumption" and see how many of the results are decks. Almost none, usually — even though you know three separate presentations argued about it last year. Slide text is locked inside a ZIP of XML that most search tools skim badly or skip entirely, so decks become a write-only archive. Things go in. Nothing comes back out.
This page does the boring, useful thing: it pulls every string out of a .pptx and hands it to you as plain text. Slide content, speaker notes, table cells, text boxes. No heading markers, no pipes, no syntax to strip out later. If you want to extract text from PowerPoint for search, embeddings, a transcript, or a content audit, this is the output you want. Free, no sign-up, up to 50 MB, nothing stored after conversion.
What Comes Out, and In What Order
Extraction walks the deck slide by slide, in deck order, and pulls the text runs from every shape it finds on each slide. Titles, body placeholders, loose text boxes, and the cells of any real PowerPoint table all contribute. Speaker notes come along with the slide they were written for.
Within a single slide, order is less reliable than you might expect. PowerPoint stores shapes in z-order — the layering stack — rather than reading order. On a template-built slide that's the same thing in practice. On a hand-arranged slide with columns, callouts, and a footnote box, the text can arrive in the sequence the boxes were created rather than the sequence you'd read them. For plain-text use cases this matters much less than it sounds: search indexes and embedding models care about which words appear near each other far more than about their exact sequence within one slide.
Why Plain Text Beats Markdown Here
Decks are structurally shallow. A slide has a title and a handful of bullets — that's it. There's no chapter hierarchy, no numbered clauses, no five-level nesting to preserve. So the structural markup you'd get from PowerPoint to Markdown buys you a lot less than it does on a hundred-page report.
And in several pipelines it actively costs you:
- Search indexing. Most engines tokenise punctuation into noise. A corpus littered with
##and-gives you nothing to match on and a slightly worse relevance signal. - Embeddings. Chunk a deck by slide and embed each chunk. Syntax characters consume positions in a fixed-length input without adding meaning, and headings that repeat the same three template words on every slide drag chunks toward each other in vector space.
- Feeding scripts. If the next step is a regex, a keyword tally, a language detector, or a diff, plain lines are simply less to clean up.
- Volume. Auditing forty decks at once? Flat text keeps the total small and the reading uniform.
Go the other way — to Markdown — when the deck's argument structure is the point, like turning a talk into a written article. The format toggle at the top of this page carries your file over so you don't have to upload it again.
The Notes Pane Is a Transcript Nobody Reads
This is the strongest argument for pulling text out of decks at all. Slides hold headlines; the notes pane holds sentences. Presenters write out what they intend to say — sometimes near-verbatim, sometimes as prompts, often with the caveats and numbers that never made it onto the visible slide because they'd have cluttered it.
Extracted as flat text, a deck's notes read like a rough talk track. That's directly usable: paste it into a model and ask for a summary that actually reflects what was said rather than what was displayed, use it as a script when you have to deliver someone else's deck, or pair it with a meeting recording so you have both the intended message and the delivered one. Decks where the notes pane is empty produce noticeably thinner output, and now you know why.
Where This Gets Used
- Content audits. Convert every deck in a folder, concatenate, and grep for the claims you're worried about — a discontinued product name, an old pricing tier, a compliance statement that changed. Finding the stale slides is the hard part; fixing them is easy.
- Making decks searchable. Run the extraction once, store the text alongside the file path, and suddenly your archive answers questions. This is the single highest-value use of PPTX to text conversion in most organisations.
- Training and course material. Lecture slides plus notes become study text. Ask a model for practice questions, a glossary, or a plain-language rewrite of a dense unit.
- Sales and RFP work. Pull the text from twenty past pitch decks to find how you've described a capability before, so the new proposal stays consistent with what was already promised.
- Translation and accessibility passes. Flat text is far easier to run through a translation workflow or a readability check than a file full of shape geometry.
Known Blind Spots
A deck can look full of text and convert almost empty. Here's why that happens:
- Words inside images stay inside images. Text recognition runs on image files you upload directly, not on pictures embedded in a deck — so export the slide as an image and convert that if you need the words. A slide whose content is one exported diagram, a screenshot of a dashboard, or a pasted picture of a table yields nothing but whatever caption sits beside it. This is by far the most common cause of a disappointing result, and it's worth checking before you conclude a deck is empty.
- Charts give you the picture, not the numbers. A native chart keeps its data in an embedded worksheet rather than as slide text, so axis labels and values don't surface. Convert the underlying figures with Excel to text if you need them.
- SmartArt extracts unevenly. You may get the labels without any sense of how the boxes connected, which turns a process diagram into a list of nouns.
- Build order vanishes. Bullets that appeared one at a time all land together. Nothing in the text records that a reveal ever happened.
- Hidden slides. Decks often carry an appendix of hidden backup slides. Text extraction doesn't care about hidden status, so you may get more than the audience ever saw — usually a bonus, occasionally a surprise if you're sharing the output.
Frequently Asked Questions
How do I convert a PowerPoint to text?
Drop the .pptx above and the text from every slide comes back as plain text, downloadable as .txt. Free, no sign-up, 50 MB per file. Slides convert in deck order, so the output reads as a sequential transcript of the presentation.
Can I convert an old .ppt file?
Not directly — this page accepts .pptx only. The fix takes ten seconds: open the deck in PowerPoint, Keynote or Google Slides and save it as .pptx, then convert. The binary .ppt format predates 2007 and stores content in a way that modern extraction tooling has largely stopped supporting.
Do speaker notes come through?
Usually yes, and this is often the most valuable part of the file. Slides carry deliberately sparse text — three bullets and a chart — while the notes pane holds the actual argument the presenter made. If you are converting a deck to give a model context, the notes are what make the result useful rather than a list of fragments.
What happens to charts, diagrams and SmartArt?
Text inside shapes and SmartArt generally converts, because it is stored as text. A chart's plotted data does not — that lives in an embedded worksheet, and the picture of it has no text layer. Expect a deck that argues through visuals to convert into something noticeably thinner than the deck felt.
Is the output useful for summarising a deck with an LLM?
Yes, with the caveat that you are handing over an outline rather than a narrative. Bullet fragments lack the connective reasoning that was spoken aloud, so ask for a structured summary of what each slide covers rather than an interpretation of what the deck argued — unless the speaker notes came through, in which case the argument is there too.
Other Formats in the Same Workflow
Audits are rarely single-format. File2Txt takes anything supported from one upload box, and ZIP to text is the shortcut when you have a folder of mixed material — zip it, upload once, get everything back as text. For the documents around the deck, there's Word to text, PDF to text, and MSG to text for the Outlook thread where the deck was actually decided.
Working with code or the web, there's the GitHub to text converter and Web2Txt for pages. The file to text converter guide covers how these fit together.
Repo2Txt is built and maintained by v12hero, an independent developer building privacy-first native and web apps.