Dense Slides: Build & deploy AI-powered apps — Paige Bailey, Google DeepMind
Source Video
Build & deploy AI-powered apps — Paige Bailey, Google DeepMind
Method
This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.
Cropped Visible Slides

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
title_cardconfidence0.99 - Text source: agent_vision.
Slide text:
Google’s latest releases
Gemini 3.1 Flash Live
Gemini 3.1 Pro and Flash-Lite
NanoBanana 2
Embeddings 2.0
Lyria 3
Genie 3
AI Studio FSR
Gemma 4
Veo 3.1 Lite

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.9 - Text source: agent_vision.
- OCR decision: ready — browser/article screenshot with smaller page text and metadata
Slide text:
Gemma 4: Byte for byte, the most capable open models

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.9 - Text source: advanced OCR
rapidocr-live/bright-screen/contrastreconciled by agent. - OCR decision: ready — Small screenshot-like slide with embedded UI chrome and compact labels that OCR can read more reliably than manual transcription in this pass.
Slide text:
GEMINI CAN
Understand
text, images,
audio and more
Text
Image
Audio
Video
Coding

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.89 - Text source: none.
- OCR decision: ready — Dense code/editor content and small interface labels are better handled by OCR than by manual transcription here.
- Slide text: not surfaced (
noneby AI classifier).

- Recreated text/layout view: open HTML recreation
- AI slide classifier:
content_slideconfidence0.95 - Text source: agent_vision.
Slide text:
Create your sound
Synthesis of professional music from narrative engineering.
Classification audit: raw/sources/slide-ai-classification/dense/G_bHFmEAarM/audit.json