Every cut in a 15‑minute film: extracting 166 scene frames from a video link

Описание и применение

Инструмент Apify автоматически извлекает один кадр на каждый кадр смены в видео, экономя время и деньги.

Задача

Need to extract one representative frame per shot from a video for AI vision, thumbnail picking, or lecture indexing, without processing every frame.

Результат

On the 14:48 Sintel movie, the tool found 166 shots in 3 min 22 s, costing ~$0.45, and produced a contact sheet. In overview mode it returned 24 frames in 21 s, costing ~$0.05.

Рабочий процесс

• 1. Provide a JSON payload with video URLs, mode (e.g., "scenes"), and contactSheet flag.
• 2. The tool compares each frame to the previous one; a sharp change marks a cut.
• 3. One frame is saved at each detected cut with its timecode and image link.
• 4. A contact sheet of all extracted frames is generated.
• 5. Results are returned as image URLs and metadata.
• 6. Users can download or use the frames for downstream tasks.

Доказательства

It found 166 shots and saved one frame for each. The scan took 3 minutes 22 seconds.

Источник

In this precise mode it compares every frame with the one before. When the picture changes completely, that is a cut, and a frame is saved there.

Источник

Overview mode reads only the keyframes, the full pictures a video file stores every few seconds. On the same film it returned 24 frames in 21 seconds.

Источник

On a 60‑second lecture recording with a moving mouse pointer, precise mode with high sensitivity found all 6 slides (at 0:00, 0:10, 0:20, 0:30, 0:40 and 0:50) and ignored the pointer.

Источник

$2 per 1,000 frames, $0.005 per video, and in precise mode $0.01 per minute of 1080p video at 30 fps (smaller videos count less).

Источник