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MinerU2PPT

Converts PDF files and images into fully editable PowerPoint presentations using MinerU structural data.

Convert PDFs and images into editable PPTX slides

Turn static design assets and documents into modifiable PowerPoint decks using structural data.

Free forever · source-available · Licence not stated in the repository
✓ Light setup✓ Browser-based✓ Real-time collaboration
6
ZEKAI
Convert static PDFs into editable slides
Free & open source · Pro Services
Ease of setup4
Usefulness8
Maintenance7
Community5
★ 199
GITHUB
May 2026
UPDATED
Licence not stated in the repository
LICENSE
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⚡ Quick answer

MinerU2PPT is a specialized utility that bridges structural extraction and presentation authoring by taking MinerU JSON output and rebuilding documents into true PowerPoint files. It targets professionals who routinely need to reverse-engineer static PDFs or images back into fully editable slide decks without rebuilding layouts manually.

Runs on
Cross-platform
Hosting
Desktop
Languages
Python
License
Licence not stated in the repository

What it is

The application reads structured data from the MinerU PDF Extractor along with source files to reconstruct text, images, and layouts into editable `.pptx` presentations. It provides both a user-friendly graphical interface with batch processing capabilities and a command-line interface with advanced OCR device configuration and font sensitivity controls.

Who it's for

It suits professionals, designers, and analysts who spend hours manually recreating slides from static PDFs or image exports. It does not suit users looking for an all-in-one PDF reader or those unwilling to process files through external extraction tools first.

Key features

GUI and Batch Mode

Offers a Windows graphical interface supporting single files and multi-task batch conversion queues.

Watermark Removal

Includes an optional setting to automatically erase footers and page number elements during assembly.

OCR Refinement Controls

Exposes command-line parameters for OCR device policy, model variants, and font distance thresholds.

High-Fidelity Reconstruction

Rebuilds text boxes, images, and layouts accurately rather than flattening pages into static screenshots.

How to start

Up and running in 3 steps

1
Upload your source PDF or image to the MinerU Extractor and download the resulting structural JSON file.
2
Download and run the appropriate Windows package (CPU or GPU variant) or clone the repository to run from source.
3
Input your source file and JSON data into the application interface, select optional watermark removal, and start conversion.
Real talk

Our honest verdict

What's great

  • Outputs native editable PowerPoint elements instead of static images.
  • Provides packaged Windows installers for CPU and multiple CUDA versions.
  • Supports batch processing to queue and convert multiple documents sequentially.
  • Includes CLI options for fine-tuning OCR device policies and bounding box sensitivity.

Where it falls short

  • Requires you to first process your files through the external MinerU extractor to obtain the required JSON data.
  • Packaged GUI releases are currently limited to Windows environments.
  • Running advanced GPU-accelerated OCR tasks demands compatible Nvidia hardware and specific CUDA runtimes.
Cost

Pricing & license

The tool is free to use under its repository setup, though the README does not state a formal open-source license. There are no paid hosted options mentioned, so the only cost is your own hardware and time running it.

Paid work

Open remote AI-training roles

870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

See all open roles →
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Questions

FAQ

Do I need to install Python to use this tool?

No, if you use the packaged Windows release variants, Python and dependencies are bundled for you.

Where do I get the JSON file required for conversion?

You must upload your PDF or image to the online MinerU extractor tool to generate and download the layout JSON.

Can I process multiple files at the same time?

Yes, the GUI features a Batch Mode where you can add multiple conversion tasks to a sequential processing queue.

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