Turn hours of video into minutes of insight

SnapVee is an AI video summarizer: paste a public link or upload a local video or audio file,and get instant summaries, timestamped chapters, Mermaid mindmaps, and AI chat for courses, podcasts, livestream replays, and meetings.

YouTubeSummarized
OverviewChaptersMindmapKeywordsAI Chat

OVERVIEW

This 102-minute lecture starts from the perceptron, builds up through backprop and gradient descent, then extends to CNNs and the Transformer attention mechanism — a solid base for review notes and teaching material.

Chapters

04:12

Perceptrons to deep nets

Single-layer limits and non-linear activations.

23:48

Backprop & gradient descent

How the chain rule makes nets trainable.

51:30

CNNs & feature extraction

Local receptive fields and weight sharing.

1:18:05

Attention & Transformers

How self-attention replaces recurrence.

MERMAID MINDMAP

Deep LearningPerceptronBackpropCNNTransformer

Keywords

BackpropGradient descentAttentionActivationOverfitting

Action items

Review the backprop derivation (23:48)P1
Turn attention diagrams into slidesP2
Which chapter covers attention?
In “Attention & Transformers,” the part where self-attention replaces recurrence.Source 1:18:05
Ask a follow-up about this summary…

Turn long content into usable notes

For classes, podcasts, and meeting replays, the result page gives you chapter highlights, a mindmap, and exportable materials you can review or share.

01

Links and local files go through one queue

YouTube, TikTok, and BiliBili reuse the current media pipeline, podcast platforms use audio parsers, and local files enter the same summary pipeline directly.

02

Timestamped transcripts for real navigation

Keep the full original-language transcript with usable timestamps instead of a generic summary blob.

03

Structured summary in your language

Generate title, overview, chapter bullets, keywords, and action items for study, ops, and meeting follow-up.

04

Smart Mindmaps

The UI renders Mermaid SVG and falls back to a tree view if rendering fails, so the result page stays usable.

More than a summary: reusable study and work deliverables

After processing, the result page can turn a long video into study notes, a work brief, and an action plan.

Study Notes

Core concepts and definitions
Examples and explanations
Review questions

Work Brief

Key conclusions
Risks and open questions
Reusable briefing copy

Action Plan

Tasks and priority
Timestamp references
No invented missing details
STEP 01

Input

Paste a public link or upload a local video / audio file.

STEP 02

Analyze

Auto-transcribe and generate an overview, chapters, and mindmap.

STEP 03

Ask

Keep chatting with AI about the content to dig into points and actions.

STEP 04

Export

Take the summary, mindmap, and action list to reuse anywhere.

Supported platforms

YouTube
TikTok
BiliBili
Xiaoyuzhou
Apple Podcasts
Ximalaya

User reviews

★★★★★

Instead of rewatching a 90-minute replay and taking notes manually, I can scan the chapters and jump back only where it matters.

Oliver Hayes

Oliver Hayes

Product Manager · Meeting review

★★★★★

For course content, structured summaries are much more useful than raw transcripts when I need to prepare learning materials.

Emma Sullivan

Emma Sullivan

Course Operations · Knowledge ops

★★★★★

Long podcast episodes become reusable faster because I can lift chapter titles and summaries into multi-channel publishing.

Lucas Meyer

Lucas Meyer

Content Editor · Podcast workflow

★★★★★

A two-hour interview takes ten minutes to skim, and the timestamps jump me straight back to the source to double-check.

Grace Whitfield

Grace Whitfield

Independent Researcher · Research notes

★★★★★

Drop in the weekly meeting recording and it produces minutes and action items — no more dedicated note-taker.

Henry Doyle

Henry Doyle

Project Lead · Team collaboration

★★★★★

Even English lectures come out as structured chapters and a mindmap, so prep and review are much faster.

Clara Jensen

Clara Jensen

Graduate Student · Course study

About video summaries

Can't find an answer? Reach out to our support team anytime.

Ready to compress long content into useful output?

Start with a public link. The current focus is making the summary, reading, and export flow solid before anything else.