AI Slide Classification And Recreation

scripts/classify_and_recreate_slides.py is the wiki-maker tool for separating real content slides from video frames that only look slide-adjacent. It uses the low-cost Codex vision model gpt-5.4-mini by default and does not read OPENAI_API_KEY.

Rejected frames are not deleted. They stay in wiki/assets/... and remain listed as evidence, but they are hidden from the visible slide sequence so the wiki does not present stage shots, logo walls, or demo footage as slides.

What It Keeps

Presentation slides with meaningful text, diagrams, code, architecture, tables, or product screenshots used as slide content.
Slides with an embedded speaker/video tile, as long as the slide content itself is readable and useful.

What It Hides From Slide View

People standing on stage in front of a logo wall.
Sponsor walls, starting-soon cards, blank frames, audience shots, and unreadable stage projections.
Demo footage or UI video frames that are not clearly being used as a readable slide.

Output

Classification audit JSON: raw/sources/slide-ai-classification/<deck_kind>/<video_id>/audit.json
Per-slide classifier JSON: raw/sources/slide-ai-classification/<deck_kind>/<video_id>/slide-###.json
Text/layout HTML recreation: wiki/assets/slide-recreations/<deck_kind>/<video_id>/slide-###.html

Example Results

youtube AheG9p_JXVw slides — four Reelful stage-camera frames are hidden from slide view while retained as linked evidence.
youtube ZRM_TfEZcIo dense slides — full dense pass keeps eleven visible content slides and hides one speaker bio card as evidence.
Recreated "My Second Brain" dense slide — text and rough layout recreated from a retained dense content slide.
Recreated "Forget the infrastructure you think you need" dense slide — text and rough layout recreated from a retained dense content slide.
Dense spot checks also classified four frames each for APh1Vx0oLmQ and 4sX_He5c4sI; those partial runs wrote audits and recreations without rewriting the full visible deck pages.

Tool Invocation

env -u OPENAI_API_KEY python3 scripts/classify_and_recreate_slides.py \
  --video-id AheG9p_JXVw \
  --deck-kind slides \
  --model gpt-5.4-mini \
  --hide-rejected

For the full OCR pipeline, pass one or more --classify-video-id values to scripts/run_slide_ocr_pipeline.py; set --classify-deck-kind slides, dense, or reconstructed depending on the deck being processed. The legacy --remove-non-slides flag now hides rejected frames from visible wiki sections while keeping evidence files.