extract-slide-text
Skill129 starsChanged 7 months agoMITView on GitHub
Extract text from each page of a PDF into a markdown file using pdftotext. Produces slide_ascii.md with a heading, image reference, and extracted text per slide. USE FOR: extract text from PDF slides, get slide text content, PDF to markdown text, slide_ascii.md.
- Installs packages
In this repository15 other files it gives its agents.
- capture-video-framesSkill
- convert-slides-to-imagesSkill
- discussion-commenterSkill
- extract-transcriptSkill
- fetch-slidesSkill
- generate-images-maiSkill
- generate-writeupSkill
- make-revealjs-presentationSkill
- make-speaker-promo-cardsSkill
- outline-slidesSkill
- pdf-to-markdownSkill
- review-presentationSkill
- thumbnail-of-pptxSkill
- youtube-descriptionSkill
- youtube-live-chatSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Run the extract_slide_text.py script to extract the text content of each PDF page into a structured markdown file:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Extract slide text from PDF
Run the extract_slide_text.py script to extract the text content of each PDF page into a structured markdown file:
uv run extract_slide_text.py <pdf_path> <output_path> [images_dir]Arguments
pdf_path(required): Path to the PDF file.output_path(required): Path to write the output markdown fileimages_dir(optional): Path to the slide images directory. Used to generate correct relative image references. Defaults toslide_images/.
Output format
A markdown file with one section per slide:
## Slide 1

\```
Extracted text content from slide 1
\```
## Slide 2

\```
Extracted text content from slide 2
\```Pages with no extractable text (e.g., full-bleed images) show (no extractable text).
Why this matters
PDF text extraction is deterministic — it produces ground-truth slide content without relying on vision models. This prevents misidentification of embedded screenshots or demo captures as actual slide content, a common failure mode when using only image-based slide analysis.
Prerequisites
Poppler utilities must be installed (provides the pdftotext command):
- macOS:
brew install poppler - Ubuntu:
apt-get install poppler-utils
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

