Every YouTube video
turned into a
research dossier.
Paste any YouTube URL. KLIPS pulls the transcript, extracts the argument, flags the pressure points, and packages the result into a markdown dossier you can hand straight to your AI.
1 free analysis per month. No card required.
Core Thesis
The one sentence the video is actually arguing. Cut through the waffle.
Key Claims
Timestamped claims with source quality indicators. Know what's assertion vs. evidence.
Counter-Thesis
The steel-man argument against the video's position. Think critically, not just confirmingly.
Discussion Fuel
Auto-generated discussion questions. Share with your team, friends, or newsletter.
Hot Moments
Jump straight to the best timestamps instead of scrubbing through the whole video again.
Markdown Export
A clean .md report for your AI workflows now, and a PDF-friendly handoff next.
More than a summary
KLIPS should leave the buyer feeling over-served. The deliverable is a working research packet they can read, jump through, and hand to another model.
A normalized transcript is the base layer, not the product.
Timestamped claims, evidence notes, and jump links back into the source video.
Counter-lens and discussion angles so the video can be challenged, not just repeated.
A .md export structured for Claude, ChatGPT, notebook workflows, or internal research use.
The same dossier can be pushed through Converter for a clean reading copy.
See a real dossier before you pay
We processed The Only 20 Ways to Make Money with AI in 2026 and pulled out a usable argument map instead of a vague abstract.
This is not mocked copy. It is generated from a saved KLIP already inside the system.
What the sample gives you
1:40 AI voice agents as receptionists, 5:10 AI lead generation as S-tier, 12:15 AI consulting as top-tier.
KLIPS flags the buried assumption: the speaker underweights saturation risk and the pace of tool commoditization.
The export includes prompts for turning the claim ledger into a research checklist or comparing the thesis to adjacent videos.
Store transcript, segments, and metadata once. Repeat requests should enrich, not re-fetch.
Profile recurring speakers and channels so style, bias, and recurring themes become part of the read.
Use vectors and explicit links to connect videos, ideas, claims, and trend lines across the archive.
Markdown first, PDF-ready second. The output should feel like a proper research product.
See what we know about any video
Paste any YouTube URL. We'll pull the public data card instantly β title, channel, views, duration, tags. The foundation before any analysis.
Simple pricing
Pay for what you use. No subscriptions, no commitment.
- β 1 analysis per month
- β Full thesis breakdown
- β KronosID identity
- β History & search
- β 10 video analyses
- β Full thesis breakdown
- β History & search
- β Credits never expire
- β 100 video analyses
- β Full thesis breakdown
- β History & search
- β Credits never expire