curl --request POST \
  --url https://be.datagol.ai/noCo/api/v2/workspaces/{workspaceId}/extraction/advanced/test \
  --header 'Content-Type: application/json' \
  --data @- <<EOF
{
  "content": "[00:00:02] Sarah Miller: Yeah, great to connect.\n\n[00:00:04] Mark Thompson: Likewise. So just for context — Alex and I started working together recently. We’re very early, mostly speaking with potential users and understanding their pain points.\n\n[00:00:18] Sarah Miller: Quick intro from my side — I’ve spent the last 10 years in startups. Started in fintech, then built a SaaS company focused on workflow tools. Exited last year and now exploring the next venture.\n\n[00:00:32] Alex Rivera: I’m Alex, engineering background. Around 15 years building developer tools and infrastructure products. This is my second startup.\n\n[00:00:44] John Doe: Nice to meet you both. I run a small fund investing in early-stage AI and infrastructure companies. Also previously built and bootstrapped a company for nearly a decade, so I understand the founder journey well.\n\n[00:01:00] Sarah Miller: Amazing. So our thesis is simple — AI isn’t just speeding up software development, it’s changing how software should be built entirely. Instead of static apps, we’re exploring the idea of “software you can summon” — lightweight, adaptive tools that exist only when needed.\n\n[00:01:20] John Doe: Interesting. Who’s the target user?\n\n[00:01:23] Alex Rivera: Product managers, designers, and technical founders who are building tools themselves but feel underserved by existing infrastructure. We want to rethink the layer beneath the coding agents.\n\n[00:01:38] John Doe: Makes sense. The key will be articulating why you, why now, and what gives you the right to win.\n\n[00:01:46] Sarah Miller: Exactly. That’s what we’re refining — and conversations like this really help.",
  "advancedSchema": {
    "type": "object",
    "additionalProperties": false,
    "properties": {
      "title": {
        "type": "string",
        "description": "Optional title or identifier for the transcript (e.g., meeting name, interview subject)."
      },
      "duration_seconds": {
        "type": "number",
        "description": "Total duration of the transcribed audio/video in seconds."
      },
      "language_code": {
        "type": "string",
        "description": "BCP-47 language code of the transcript (e.g., 'en-US', 'es-ES')."
      },
      "speaker_count": {
        "type": "number",
        "description": "The total number of unique speakers identified in the transcript."
      },
      "segments": {
        "type": "array",
        "description": "An array of spoken segments or utterances, each representing a continuous speech turn by a single speaker.",
        "items": {
          "type": "object",
          "properties": {
            "speaker": {
              "type": "string",
              "description": "Identifier for the speaker of this segment (e.g., 'Speaker 1', 'John Doe')."
            },
            "start_time": {
              "type": "number",
              "description": "The start time of the segment in seconds from the beginning of the audio/video."
            },
            "end_time": {
              "type": "number",
              "description": "The end time of the segment in seconds from the beginning of the audio/video."
            },
            "text": {
              "type": "string",
              "description": "The full transcribed text of this segment."
            },
            "confidence": {
              "type": "number",
              "description": "Confidence score for the accuracy of this segment's transcription (0.0 to 1.0)."
            },
            "words": {
              "type": "array",
              "description": "An array of individual words within this segment, with their specific timings and confidence scores.",
              "items": {
                "type": "object",
                "properties": {
                  "word": {
                    "type": "string",
                    "description": "The transcribed word."
                  },
                  "start_time": {
                    "type": "number",
                    "description": "The start time of the word in seconds relative to the beginning of the audio/video."
                  },
                  "end_time": {
                    "type": "number",
                    "description": "The end time of the word in seconds relative to the beginning of the audio/video."
                  },
                  "confidence": {
                    "type": "number",
                    "description": "Confidence score for the accuracy of this word's transcription (0.0 to 1.0)."
                  }
                },
                "required": [
                  "word",
                  "start_time",
                  "end_time"
                ]
              }
            }
          },
          "required": [
            "speaker",
            "start_time",
            "end_time",
            "text"
          ]
        }
      }
    },
    "required": [
      "segments"
    ]
  }
}
EOF