REST-API für Transkription — drei Calls, fertig

# Upload an audio file and start a Premium transcription job
curl -X POST https://api.deepscript.com/v1/transcriptions \
  -H "X-API-KEY: ds_live_xxx" \
  -F "file=@meeting.mp3" \
  -F "model=premium" \
  -F "language=de"

# Response:
# {
#   "id": "8b1f2e4a-9c3d-4f7e-a1b2-1234567890ab",
#   "status": "queued",
#   "progress": 0,
#   "model": "premium",
#   "createdAt": "2026-06-09T10:14:22Z"
# }

# Poll until done
curl https://api.deepscript.com/v1/transcriptions/8b1f2e4a-9c3d-4f7e-a1b2-1234567890ab \
  -H "X-API-KEY: ds_live_xxx"

# Download as SRT
curl -o meeting.srt \
  "https://api.deepscript.com/v1/transcriptions/8b1f2e4a-9c3d-4f7e-a1b2-1234567890ab/export?format=srt" \
  -H "X-API-KEY: ds_live_xxx"

import { readFile } from "node:fs/promises";

const API_KEY = process.env.DEEPSCRIPT_API_KEY; // "ds_live_xxx"
const BASE = "https://api.deepscript.com/v1";

async function transcribe(filePath) {
  const buffer = await readFile(filePath);
  const blob = new Blob([buffer], { type: "audio/mpeg" });

  const form = new FormData();
  form.append("file", blob, "meeting.mp3");
  form.append("model", "premium");
  form.append("language", "de");

  const created = await fetch(`${BASE}/transcriptions`, {
    method: "POST",
    headers: { "X-API-KEY": API_KEY },
    body: form,
  }).then((r) => r.json());

  // Poll every 3 seconds until done
  while (true) {
    await new Promise((r) => setTimeout(r, 3000));
    const job = await fetch(`${BASE}/transcriptions/${created.id}`, {
      headers: { "X-API-KEY": API_KEY },
    }).then((r) => r.json());

    if (job.status === "completed") return job.result;
    if (job.status === "failed") throw new Error(job.errorMessage);
  }
}

const result = await transcribe("./meeting.mp3");
console.log(result.text);

import os
import time
import requests

API_KEY = os.environ["DEEPSCRIPT_API_KEY"]  # "ds_live_xxx"
BASE = "https://api.deepscript.com/v1"
HEADERS = {"X-API-KEY": API_KEY}


def transcribe(path: str) -> dict:
    with open(path, "rb") as f:
        created = requests.post(
            f"{BASE}/transcriptions",
            headers=HEADERS,
            files={"file": f},
            data={"model": "premium", "language": "de"},
            timeout=120,
        ).json()

    job_id = created["id"]
    while True:
        time.sleep(3)
        job = requests.get(
            f"{BASE}/transcriptions/{job_id}", headers=HEADERS, timeout=30
        ).json()
        if job["status"] == "completed":
            return job["result"]
        if job["status"] == "failed":
            raise RuntimeError(job["errorMessage"])


result = transcribe("meeting.mp3")
print(result["text"])