Turn any long-form video into structured notes
LectureAI analyzes speech, slides, diagrams, equations, and code so recruiters, students, and teams receive timestamped notes they can trust.
Example Output
From lecture video to polished PDF notes.
Lecture Input
Original lecture video
Multimodal understanding
Speech • Slides • OCR • Visual reasoning
Generated Notes
Real export produced by LectureAI
The Intelligence Pipeline
How raw video becomes actionable knowledge.
Video
Raw lectures, meetings, and tutorials enter the system.
Transcription
Speech is aligned into searchable, timestamped text.
Visual Understanding
Slides, diagrams, and screen context are interpreted.
Multimodal Fusion
Audio and visual signals are reconciled into one model.
Structured Intelligence
Clean notes, snippets, and decisions are generated.
Features
Powerful Extraction
Everything needed to turn dense educational video into reusable knowledge without losing context.
Perfect sync, every word captured.
Whisper-level accuracy across languages, capturing lecture context automatically.
“Gradient descent updates each weight by moving against the slope of the loss function, so every pass through the data makes the model slightly less wrong.”
Slide Detection
Automatically captures key slide transitions and embeds them into your notes.
Executable Snippets
Identifies code blocks shown on screen and converts them to formatted text.
import numpy as np
def softmax(logits):
exp = np.exp(logits - logits.max())
return exp / exp.sum()Intelligent Summarization
Condenses hour-long lectures into 5-minute reads, highlighting core concepts and actionable items.
- • Backpropagation computes useful error signals.
- • Learning rate controls update stability.
- • Regularization reduces overfitting on small datasets.