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CONVERT PPT → TXT (PPT to TXT)

Fast, secure PPT to TXT conversion. No registration required.

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● Cover Page ⋮⋮
Annual
Report
2026
Page 1
Balance Sheet ⋮⋮
140.00
172.00
204.00
236.00
268.00
300.00
Q4 Audit A4
Page 2
Visual Chart ↻ 90°
Vector 300 DPI
Page 3
Draft Notes ⋮⋮
🗑️
Marked for Deletion Kept in Output
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Page 4

Studio Panel

Ghostscript + QPDF
Compression Level
OCR Multi-Language (12 Locales)
English, Español, Deutsch, 日本語, 한국어... 300 DPI
ISO 19005-2 PDF/A Archival Ready
Exact Byte Cap (≤100KB / ≤500KB / ≤1MB) Active
Process & Download TXT above →
01

Upload the PPT

Drop your file into the browser uploader. We transfer over HTTPS and queue the conversion.

02

Convert through libreoffice

Our libreoffice-based pipeline reads the PPT, applies the right decoder and emits a faithful TXT.

03

Download the TXT

Grab the result when it lands. Both files delete automatically within two hours — nothing lingers on our servers.

PPT → TXT OVERVIEW

A PowerPoint file is a ZIP-based OOXML container whose slides are individually stored as XML documents inside ppt/slides/. Every text run in that XML sits inside a sequence of paragraph and run elements with full formatting metadata attached: font face, size, color, bold/italic flags, character spacing, and paragraph-level alignment. When you extract to TXT, the converter walks each slide's XML, pulls the raw character data from those run elements, and writes them sequentially — stripping every surrounding attribute. What you receive is the naked prose: titles, body bullets, speaker notes if requested, and any text embedded in grouped shapes or SmartArt nodes. Nothing else survives. Users reach for this conversion most often when they need to feed slide content into an LLM, a translation memory system, a grep pipeline, or a diff tool that cannot parse binary or ZIP-XML formats. It is also the fastest path to getting slide text into a plain-text editor or a terminal workflow where PowerPoint itself is not installed and python-pptx or LibreOffice would be overkill for a quick extraction job.

Why convert PPT to TXT

The dominant use case is programmatic text processing. A PPT file cannot be meaningfully searched with standard POSIX tools, indexed by most full-text search engines without a plugin, or fed directly to a tokenizer. Extracting to TXT removes that friction instantly. Journalists re-using content from a leaked presentation, developers building a slide-search feature, translators who work in CAT tools that accept plain text, and data scientists counting word frequencies across a slide deck all share the same need: the words, without the container.

PPT vs TXT — Technical specifications

Side-by-side comparison of the technical details.

PPT

MIME type
application/vnd.ms-powerpoint
Container
OLE Compound File
Successor
.pptx (2007)
Default slide size (1997-2003)
720×540 px (4:3)
MIME Type
application/vnd.ms-powerpoint
Extension
.ppt
Category
Presentations
Full Name
PowerPoint Presentation (Legacy)
Conversion Engine
LIBREOFFICE

TXT

MIME type
text/plain
MIME Type
text/plain
Extension
.txt
Category
Documents & Text
Full Name
Plain Text
Conversion Engine
LIBREOFFICE
Common encodings
UTF-8, UTF-16, ASCII, ISO-8859-1, Windows-1252
Line endings
LF (Unix), CRLF (Windows), CR (classic Mac)
Max file size
Limited only by filesystem (no format-level limit)
Structure
None — flat sequence of characters

PPT vs TXT — Strengths and limitations

What each format does best, and where it falls short.

PPT Strengths

  • Universal legacy compatibility since 1987.
  • Binary format loads quickly on older hardware.
  • Preserves animations, transitions, and embedded media.
  • Every modern presentation tool can open it.

Limitations

  • Deprecated since 2007 — PPTX is the recommended format.
  • Animations and SmartArt often render differently outside PowerPoint 2003.
  • Macro-enabled variants are a malware vector.

TXT Strengths

  • Universally readable — every operating system, every editor, every programming language.
  • Zero metadata overhead: the file size equals the character count (for ASCII).
  • Safe to diff, grep, version-control, and pipe through command-line tools.
  • Immune to format obsolescence: a text file from 1970 still opens today.
  • Tiny footprint for structured data like logs or configuration.

Limitations

  • No styling, images, or embedded structure — just characters.
  • Character encoding ambiguity (ISO-8859-1 vs UTF-8 vs Windows-1252) causes "mojibake".
  • Line-ending differences between OSes still cause subtle bugs today.

Quality & Compatibility

All visual layout is lost with no recovery path: columns reflow into a single linear stream, text boxes that overlapped spatially are serialized in DOM order which may not match reading order, and table cell boundaries disappear entirely — adjacent cells appear as concatenated text separated only by whitespace. Slide numbers and order are preserved structurally (each slide outputs before the next) but there is no delimiter unless the converter inserts one. Embedded fonts, SVG diagrams, charts, images with alt text, and slide transitions produce nothing in the output. Hyperlink anchor text is kept but the URL is dropped. Speaker notes are a separate XML part and may or may not be included depending on how the converter is configured. Character encoding in the output is UTF-8; any Unicode text present in the PPT, including CJK characters and emoji, is preserved correctly.

Tips for Best Results

  • If your PPT contains tables, verify the output manually before using it downstream — cell text is concatenated without delimiters, so a three-column row becomes a run-on string that looks like prose.
  • Speaker notes are a separate extraction target from slide body text; if you need them included, confirm the converter settings before running, as many tools silently omit the notes XML part.
  • For slide decks that rely heavily on text inside images or charts rather than native text boxes, TXT output will be nearly empty — those elements have no text node in the OOXML and cannot be extracted without OCR.

Frequently Asked Questions

Yes. The free tier accepts files up to 25 MB without registration, email capture or watermarks; paid plans go up to 2 GB. Paid plans raise the size cap, enable batch conversions and provide a REST API for automation, but nothing on the free tier is quality-limited — the output is exactly the same as on any paid plan.

Uploads run over HTTPS, files are processed in isolated containers, and both the source PPT and the TXT output are auto-deleted within two hours. No account is required, file contents are never logged, and KaijuConverter does not use uploads for AI training. The paid plan adds a signable data-processing agreement for regulated workflows.

Most files finish in well under a minute. Small images and documents are typically ready in a few seconds; large video or audio files scale roughly with duration. Upload speed from your network is usually the dominant factor, not server time.

ppt

PowerPoint Presentation (Legacy)

Source format

PPT is the legacy binary format for Microsoft PowerPoint 97-2003 presentations. Many archived presentations and templates still use this format and require conversion for modern editing.

txt

Plain Text

Target format

TXT files contain unformatted plain text with no styling, images, or layout information. They are universally readable by any device and operating system, making them the simplest document format.

Common Use Cases

Share across platforms

Send TXT files to anyone without worrying about whether they have the right software for PPT.

Embed in documents

Drop TXT output into Word, Google Docs, PowerPoint, Notion or a website without conversion warnings.

Optimize size

TXT often produces smaller files than PPT for web, email and storage.

Archive & future-proof

Store in a widely-supported format that will still open on future operating systems without legacy plugins.

PPT vs TXT — Typical file sizes

Approximate file sizes for common scenarios.

PPT
  • Simple text deck (10 slides) 100-500 KB
  • Typical corporate deck with images 2-15 MB
TXT
  • Short note < 1 KB
  • README file 2–20 KB
  • Full novel (~90,000 words) 500 KB – 1 MB
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Offline conversion for multi-hundred page contracts, spreadsheets, and local optical extraction.

Adobe Acrobat Pro / ABBYY FineReader Enterprise

High-accuracy legal OCR, certified PDF/A archiving, and compliant document redaction.

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Related comparisons

See these formats side by side to understand which fits your use case best.

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