Detect Blurry, Black and Frozen Passages
List the blurry, black and frozen passages of a video with start, end and duration, so an agent can trim them before editing without watching the footage. Run the preset directly on this page or call the same agent-ready endpoint from your product.
See what the tool changes.
A real example: the after side is the unedited output of a KinoPipe job. Run the live form above to generate the same result from your own media.
Demo footage: public-domain timelapses (Bureau of Land Management, Oregon · NASA SVS). Processed by the same pipeline the API and MCP tools call.
Useful defaults, typed options.
The tool slug stays stable while your agent supplies named media inputs and a narrow set of documented options.
- No encode, analysis only
- Blur threshold and minimum duration control
- Per-second sharpness series included
- 01Sample the video at 4 fps and 360p
- 02Measure edge sharpness on every sampled frame
- 03Flag black and frozen frames
- 04Group passages above the minimum duration and return them as JSON
POST /api/v1/tools/detect-visual-issuesKnow the boundaries before you run.
About detect visual issues
What does the blur score mean?
The average width of the edges in the frame, in pixels, after scaling to 360p. Sharp footage sits around 5; the default threshold of 10 flags clearly soft frames. Lower it to be stricter, raise it for footage that is soft by design.
How do I use the result?
Feed the passages to trim-video or split-video: cut the blurry opening, drop the black gap, skip the frozen ending. Pair it with detect-scenes to cut on real scene changes.
Related media tools
Detect Scene Changes in a Video
List the timestamps where the picture cuts to a new scene, then pick trim, split and clip boundaries from real cuts.
ExploreTrim Video with an API
Cut a precise segment from a source video using start and end times.
ExploreSplit Video into Equal Parts by API
Divide one video into independently playable MP4 segments of a chosen duration.
Explore