Query across millions of indexed recordings in natural language. Sonar returns the most relevant clips with full transcripts, source metadata, and relevance scores — no keyword gymnastics required.
Results ship as structured JSON: utterance text, speaker attribution, timestamps, and confidence-ready scores. Your LLM consumes the same payload whether you query from Python, Node, or a no-code orchestrator.
✓ Production-ready"We are holding the policy rate steady while the committee evaluates whether monetary policy is restrictive enough to bring inflation down sustainably."
"The chair was clear that rate cuts depend on confidence in the inflation path, not just one softer month of economic data."
"Powell said the Fed can move carefully, but he pushed back on the idea that easier monetary policy is already guaranteed this year."
{
"query": "Powell monetary policy and rate cuts",
"utterance_text": "We are holding the policy rate steady while the committee evaluates whether monetary policy is restrictive enough.",
"audio_files": [
{ "id": "aud_9f42c1", "source": "federalreserve.gov", "duration": "58m" },
{ "id": "aud_61f3a8", "source": "brookings.edu", "duration": "74m" }
],
"speakers": ["Jerome Powell", "Lael Brainard", "Tom Keene"],
"clips": [
{ "file_id": "aud_9f42c1", "speaker": "Jerome Powell", "t": "14:22", "score": 0.97 }
]
}