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New accounts get 1,000 free credits, described as enough for 10+ hours of video, with no credit card required.
Learn moreTurn YouTube playlists and channels into readable, searchable knowledge.
TubeYakker is a bulk video generator tool that turns YouTube playlists and channels into readable, searchable knowledge. TubeYakker summarizes YouTube videos from your playlists and subscribed channels, then lets you chat about each transcript with clickable timestamps. It supports private and unlisted playlists and charges prepaid credits based on actual token use instead of a monthly subscription.
TubeYakker is a browser based tool that summarizes YouTube videos and lets you chat with the resulting transcripts. Instead of pasting one link at a time, it works from the playlists and channels you already curate. You connect your YouTube account with read only access, and the tool automatically processes every video saved to those playlists, plus new uploads from channels you follow. Each video gets a summary, and you can select any passage and ask follow up questions that the AI answers using the transcript as context. Timestamps in both summaries and chat are clickable, so a claim that matters can be checked at the exact moment it was made. The design targets people who accumulate far more video than they can watch: tech followers scanning release coverage, analysts tracking crypto or stock commentary, creators studying competitors, and anyone with a backlog of courses or hobby playlists. The workflow is deliberately narrow. Connect a source, read the digest, ask questions, then archive the video with one click. Archived items keep their summaries and chat history, which makes the tool closer to a personal research library than a one off summarizer. Two choices separate it from transcript chatbots. First, it accepts private and unlisted playlists, which matters for competitive research or confidential learning lists. Second, it uses prepaid credits tied to actual LLM token consumption rather than a monthly subscription. Transcript retrieval costs 5 credits, AI processing runs at 1 credit per 1,000 tokens, and web research adds 10 credits per search. The company estimates 1,000 credits cover roughly 12 hours of summarizing and formatting. New accounts receive 1,000 free credits, no card required. Against single video summarizers, the advantage is batch handling of collections you have already assembled. The tradeoff is that everything routes through credits and token counts, so heavy chat users need to watch consumption. No browser extension is needed, and it runs in any modern browser.
New accounts get 1,000 free credits, described as enough for 10+ hours of video, with no credit card required.
Learn moreCredit packs, paid once with no subscription: 3,000 coins for $5.00, 7,000 for $10.00, 15,000 for $20.00 and 50,000 for $50.00. A transcript costs 5 credits, AI processing runs at 1 credit per 1,000 LLM tokens, and web research costs 10 credits per search.
Learn moreConnects to YouTube with read only access to playlists and channel subscriptions. No other integrations are listed on the homepage.
Automatic summaries for videos in connected playlists and subscribed channels, including private and unlisted lists. Chat answers grounded in the transcript, clickable timestamps, one click archiving with retained summaries and chat, progress tracking by total video duration, and optional web search for research, all in a browser with no plugin.
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