A look under the hood. RecapGPT runs four processing steps in parallel, edits the output with a writing-focused model, and ships finished prose in under thirty seconds.
Public videos, unlisted videos with the URL, playlists, channels — RecapGPT pulls the audio and metadata in seconds. We don't bypass paywalls, DRM, or private content.
Long videos (4+ hours) are chunked, processed in parallel, and stitched back together. Most three-hour podcasts complete in under thirty seconds.
A specialized transcription model handles the speech-to-text step, with diarization to label different speakers. We retrain on the speaker's vocabulary mid-transcript, so technical terms get progressively more accurate.
Confidence scores are tracked per segment. Anything below threshold gets flagged in the final output.
This is where most "AI summarizer" tools stop and hand you a wall of text. RecapGPT runs a separate editing pass with a model trained on long-form journalism. It restructures, removes filler, identifies the actual argument, and writes connective prose.
The output is constrained to spans that map back to the source transcript — so the article never invents facts that aren't in the original.
The same source video can become a TL;DR, a 1,500-word essay, a 12-tweet thread, or a set of hierarchical study notes — generated in parallel. Pick the format that fits your workflow.
Every recap becomes part of a private, searchable corpus. Ask natural-language questions across everything you've processed and get cited answers — every quote linked to its exact second in the source video.
That four-hour podcast you've been meaning to watch? Recap it now in thirty seconds.
Get started — free →