DeepAleph
A GitHub developer who proposed a low-cost long-video analysis method based on a two-stage strategy and open-sourced the Jev API video processing framework.
Timeline (last 90 days)
A Reddit user (GitHub user DeepAleph) used a two-stage strategy to enable Claude to successfully analyze a full 23-minute video, with the total cost kept within a few cents.
DeepAleph's method uses the open-source Jev API as a lightweight filter, first scanning the entire video to locate key segments, then sending the key frames of those segments to Claude for deep reasoning.
The developer did not disclose the specific implementation details and filtering thresholds of the Jev API, so reproducing the results requires some debugging.
Some users pointed out that similar "filter first, then reason" ideas have been studied in academia (such as key frame selection in video question answering), but this is the first time they have seen someone engineer it and publish cost data.
All Facts (4)
A Reddit user (GitHub user DeepAleph) used a two-stage strategy to enable Claude to successfully analyze a full 23-minute video, with the total cost kept within a few cents.
50%UnverifiedDeepAleph's method uses the open-source Jev API as a lightweight filter, first scanning the entire video to locate key segments, then sending the key frames of those segments to Claude for deep reasoning.
50%UnverifiedThe developer did not disclose the specific implementation details and filtering thresholds of the Jev API, so reproducing the results requires some debugging.
50%UnverifiedSome users pointed out that similar "filter first, then reason" ideas have been studied in academia (such as key frame selection in video question answering), but this is the first time they have seen someone engineer it and publish cost data.
50%