Video Analysis

export API_KEY="YOUR_API_KEY"
export VIDEO_PATH="path_to_your_video.mp4"

curl -X POST https://api.interhuman.ai/v2/upload/analyze \
  -H "Authorization: Bearer ${API_KEY}" \
  -F "file=@${VIDEO_PATH};type=video/mp4" \
  -F "model=inter-2" \
  -F "include[]=signals" \
  -F "include[]=conversation_quality_overall" \
  -F "include[]=conversation_quality_timeline"

// Run as an ES module (for example, save as quickstart.mjs) for top-level await.
import fs from "fs";
import FormData from "form-data";
import fetch from "node-fetch";

const formData = new FormData();
formData.append("file", fs.createReadStream(process.env.VIDEO_PATH));
formData.append("model", "inter-2");
formData.append("include[]", "signals");
formData.append("include[]", "conversation_quality_overall");
formData.append("include[]", "conversation_quality_timeline");

const response = await fetch("https://api.interhuman.ai/v2/upload/analyze", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.API_KEY}`
  },
  body: formData
});
if (!response.ok) {
  throw new Error(`${response.status}: ${await response.text()}`);
}
let job = await response.json();
console.log("Job:", job.job_id, job.status);

import os
import requests

api_key = os.environ["API_KEY"]
video_path = os.environ["VIDEO_PATH"]

with open(video_path, "rb") as f:
    files = {"file": (os.path.basename(video_path), f, "video/mp4")}
    data = [
        ("model", "inter-2"),
        ("include[]", "signals"),
        ("include[]", "conversation_quality_overall"),
        ("include[]", "conversation_quality_timeline"),
    ]
    response = requests.post(
        "https://api.interhuman.ai/v2/upload/analyze",
        headers={"Authorization": f"Bearer {api_key}"},
        files=files,
        data=data,
        timeout=300,
    )

response.raise_for_status()
job = response.json()
print("Job:", job["job_id"], job["status"])

# Paste the job_id from the submit response.
export JOB_ID="YOUR_JOB_ID"

curl https://api.interhuman.ai/v2/upload/jobs/${JOB_ID} \
  -H "Authorization: Bearer ${API_KEY}"

while (job.status !== "completed" && job.status !== "failed") {
  await new Promise((resolve) => setTimeout(resolve, 2000));
  const res = await fetch(`https://api.interhuman.ai${job.status_url}`, {
    headers: { Authorization: `Bearer ${process.env.API_KEY}` }
  });
  if (res.status === 503) continue; // ih1002 / ih1003: retry after a short delay
  if (!res.ok) {
    throw new Error(`${res.status}: ${await res.text()}`);
  }
  job = await res.json();
}
console.log(JSON.stringify(job, null, 2));

import time

while job["status"] not in ("completed", "failed"):
    time.sleep(2)
    response = requests.get(
        f"https://api.interhuman.ai{job['status_url']}",
        headers={"Authorization": f"Bearer {api_key}"},
        timeout=30,
    )
    if response.status_code == 503:
        continue  # ih1002 / ih1003: retry after a short delay
    response.raise_for_status()
    job = response.json()

print(job)