Finds contextual discussions — not just individual keywords, but keywords appearing in the same thought or sentence.
Example
Request:
{
"audio_path": "/Users/you/Downloads/interview.webm",
"keyword1": "burnout",
"keyword2": "boundaries",
"max_distance": 30
}
{
"query": "'burnout' within 30 words of 'boundaries'",
"match_count": 2,
"matches": [
{
"timestamp": "3:42",
"snippet": "...burnout is real and setting boundaries early is the only way to...",
"distance": 8
}
],
"model_used": "tiny"
}
Parameters
| Parameter | Required | Default | Description |
|---|
audio_path | Yes | — | Path to the audio/video file |
keyword1 | Yes | — | Primary keyword to find |
keyword2 | Yes | — | Secondary keyword that must appear nearby |
max_distance | No | 30 | Maximum number of words between keywords |
model_size | No | tiny | Whisper model size for transcription |
output | No | — | File path to save results (.csv or .xlsx) |
Notes
Example use cases: “problem” near “solution”, “feature” near “deadline”, “competitor” near “advantage”
