Turn lecture slide PDFs into a Notion page — same wording, same diagrams. Runs 100% in your browser.
ProductivityJavaScript · CSSGitHub @jadkh782OnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
No updates detected yet. GitHub releases will appear here.
GitHub star growth between the latest completed 8-hour observations
DeepSeek Harness Remote can securely connect a phone or another computer to the computer where you run DeepSeek Harness, so you can continue your work anytime and anywhere, check progress anytime, and continue working.
AI translation
Ayakaleaf Pro is a free, open-source, self-hosted Overleaf alternative: Overleaf Community Edition with almost all Server Pro features — track changes, project history, admin panel, SSO, Git-bridge, Z
Open-source desktop app to view and edit HWP/HWPX documents on macOS, Windows, and Linux
AI summary · website content
A modern, high-performance local file search and productivity tool for Windows. A sleek, customizable alternative to Everything and Listary built with C# WPF and NT Services, featuring instant NTFS MF
Owners of public repositories under a personal GitHub account can sign in to verify ownership and manage the introduction themselves. No administrator approval is needed.
Sign in, generate a verification file, and commit it to this repository’s default branch within 30 minutes. Files on other branches or forks do not count. Then check the file below to manage the project without administrator approval. Keep the file to retain your access.
If needed, you will go to sign-in. After signing in, return here and press your chosen verification button again.
Run /nomorevibe verify in your project folder to verify ownership and manage the introduction yourself.
Verify in one minuteAsk about other verification options
The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
Loading the full README.
Read the full README ↗Turn lecture slide PDFs into a page you can import into Notion, with the same wording and the same diagrams. Everything runs in the browser: no AI, no server, and the PDF never leaves the visitor's device.
## heading, bullets, sub-bullets, numbered lists, → lines and tables. Bold, red/coloured and underlined words become bold.*(Folie N – leer)*.<name>_Notion.zip containing <name>.md and an images/ folder. In Notion, go to Import → Markdown & CSV and pick the zip.#notes)$…$ / $$…$$). Each photo is scaled to 1000 px wide and read in strips of ≤ 0.4 MP, cut at the emptiest rows (blank strips are skipped), which keeps memory small and each step short.
onnx-community/GLM-OCR-ONNX, 4-bit). The model (~800 MB) comes from Hugging Face's CDN the first time and is cached by the browser; it's freed after each scan and reloads from the cache. A download that gets no bytes for 45 s counts as failed; the next scan resumes it. (It can't live on Vercel: Hobby uploads are capped at 100 MB per file and functions have no GPU.)SERVER in notes.js: the same model (ggml-org/GLM-OCR-GGUF Q8_0) behind llama.cpp's OpenAI-compatible API on Modal, see modal-reader/app.py. 8 CPU cores, a few seconds a strip; it scales to zero when idle and wakes in ~15 s (the page waits up to 5 min). At most one container runs. Nothing is stored. Runs on Modal's monthly free credits; the account has no payment method, so it can't bill. Redeploy with python -m modal deploy modal-reader/app.py.# title, ## heading, - bullet, 1. number, [ ] to-do, > sticky note, **highlight**, $x^2$, $$ formula $$ (a line that is a single $…$ formula counts as a block).<title> ♡.pdf, made with jsPDF<title>_Notion.zip: the editable text (formulas as $…$ / $$ blocks) plus the cute pages as images/page-NN.jpg, imported the same way as the slides zippublic/ ← the website (static, no build step)
index.html
css/style.css
js/app.js ← UI: upload, progress, results, download
js/converter.js ← the deterministic PDF → Notion converter
js/notes.js ← notes tab: on-device handwriting + maths reading, cute pages, PDF + Notion zip
vendor/ ← pdf.js 4.10 + JSZip 3.10 (self-hosted, no CDN needed)
(the notes tab loads tesseract.js 5.1.1, jsPDF 2.5.2, Transformers.js 4.3.1 and
MathJax 3.2.2 from jsDelivr, and the GLM-OCR model from Hugging Face)
tests/
harness.html ← runs the converter on tests/…/sample.pdf
run_harness.py ← headless-Chrome test: python tests/run_harness.py slides.pdf out/
modal-reader/app.py ← the reading server for phones (Modal: llama.cpp + GLM-OCR)
vercel.json ← static hosting config (serves public/)
python3 -m http.server 8080 -d public
# open http://localhost:8080
(Any static file server works. Opening index.html straight from disk does not work, because ES modules and web workers need http.)
Option A: GitHub (recommended)
vercel.json already sets Framework: Other and Output directory: public, with no build command.Option B: Vercel CLI
npm i -g vercel
vercel # preview deployment
vercel --prod # production
pdf.js: Apache-2.0 (see public/vendor/PDFJS-LICENSE). JSZip: MIT. Tesseract.js: Apache-2.0. jsPDF: MIT. Transformers.js: Apache-2.0. GLM-OCR: MIT. MathJax: Apache-2.0. Fonts: SIL Open Font License (Google Fonts).