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Built for researchers and journalists

Research faster. Cite smarter. Compare more.

Whether you're doing literature reviews, journalism, or market research, ChatYT lets you analyze video sources at scale — multi-video chat, timestamped citations, and structured output formats.

Get 5 Free Credits when you sign up

Trusted by researchers, students, and content learners

Your sources are on YouTube. Your time is not.

Your research methodology is solid. Your data sources include 30 hours of recorded interviews, conference talks, and panel discussions on YouTube. Watching them all is impossible. Skimming transcripts means missing context. Outsourcing transcription is expensive and slow — and you still have to read everything.

ChatYT is built for this exact problem. Ingest videos, ask cross-cutting questions, extract timestamped quotes, compare positions across multiple sources. The qualitative coding work that took weeks now takes hours, with citations baked in.

Built around the rhythm of qualitative research

Multi-source comparative analysis

Use Multi-Video Chat to compare statements, frameworks, or arguments across multiple expert interviews or conference talks. Identify consensus, contradictions, and gaps — the synthesis work that defines good research, accelerated.

Real example: 8 economist interviews on inflation policy → side-by-side comparison of their positions in 5 minutes, with quotes ready to cite.

Timestamped citations for every claim

Every summary and answer includes timestamp references back to the original video. Cite sources accurately in papers, articles, or reports without manually scrubbing through hours of footage. The reviewer can verify in one click.

Real example: 'The expert claimed X at 23:14 in this interview' — verifiable, citable, ready for footnotes.

Qualitative interview coding

Upload recorded interviews, ask thematic questions, and let ChatYT extract recurring themes, quotes, and patterns. Traditional qualitative coding compressed from days to hours — and the codebook is rebuildable on demand.

Real example: 12 user interviews about a product → top 5 themes with supporting quotes and timestamps, ready for a NVivo import.

Journalism investigation

Analyze public hearings, congressional testimony, press conferences, and statements. Extract key claims, contradictions with previous statements, and fact-checkable assertions — at the speed of the news cycle.

Real example: 4-hour congressional hearing → all claims by witness X, with timestamps, in 10 minutes.

The features researchers actually use

Multi-Video Chat

Cross-reference and query across multiple video sources simultaneously — the core of any literature-review-style workflow.

Goal Summary

Specify your research question; get summaries focused on it, not generic overviews. Useful for narrowing 30 hours of footage to the 30 minutes that matter.

Transcript to PDF

Full transcript with timestamps, exportable for archiving or annotation in citation managers like Zotero, Mendeley, or NVivo.

Notes Generator

Structured output with quotes, themes, and key claims — ready for further analysis in qualitative software or hand-coding.

Pricing for serious research workloads

Free tier: 5 credits to start. Enough to evaluate the tool against a single interview before committing.
$1 starter: 30 credits + saved card. Most active researchers stay here and top up before fieldwork or thesis sprints.
$50 / $100 top-ups: 3,000 / 7,000 credits at the lowest per-credit rate. Built for academics processing 50+ hours of video monthly. Credits never expire — bank them for a deep-dive.

Want to estimate cost per hour of footage? see the credit cost breakdown

I used to outsource transcription for $200 per interview. Now I do the same analysis myself for under a dollar of credits — with quotes already pulled and timestamps verified.

PhD candidate in sociology

Frequently asked questions

Everything you need to know about the AI YouTube Video Summarizer & Chat.

5 free credits on sign up

Spend less time watching. More time thinking.

5 free credits to evaluate the workflow on your own corpus. No card.

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