Hear what words can't say
OrangeChat labels conversations with word-level prosody and per-segment emotion— pitch, contour, emphasis, pace, intensity, and speaker turns — exported as structured JSON for voice-AI datasets.
Live sample
Press play — labels update word-by-wordLoading analysis…
How it works
Step 1
Upload audio
Drop in a call, interview, or podcast. We accept common audio and video formats.
Step 2
Transcribe + diarize
Word-level timestamps and speaker turns are extracted so every label snaps to the exact word.
Step 3
Label prosody + emotion
An audio model listens and labels each segment's emotion and each word's pitch, contour, emphasis, and pace.
Step 4
Export structured JSON
Get a clean, schema-stable analysis file ready for training, eval, or visualization.