---
title: "Reconstructed Slides: Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter"
category: "slides"
video_id: "84Vtz2IL1Ug"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter

## Source Video
[Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter](https://www.youtube.com/watch?v=84Vtz2IL1Ug)

## Method
This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

## Reconstructed Slides
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.12`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.98`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.14`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.57`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.58`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.84`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.34`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `177.37`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.71`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `175.97`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.26`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `156.37`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `153.0`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.69`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `152.43`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.88`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.69`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.19`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.27`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.53`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.87`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.51`
![[assets/reconstructed-slides/84Vtz2IL1Ug/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.02`
## Dense Scene-Detected Slide Candidates
- [[youtube-84Vtz2IL1Ug-dense-slides]]