GPT-4o Transcribe Diarize vs Seed ASR

from openai import OpenAI

client = OpenAI(
    base_url="https://synthorai.io/v1",
    api_key="sk-syn-...",
)

resp = client.audio.transcriptions.create(
    model="gpt-4o-transcribe-diarize",
    # model="seed-asr-bigmodel",  # 이 줄의 주석을 해제하고, 윗줄을 주석 처리하세요
    file=open("meeting.mp3", "rb"),
    language="en",
)
print(resp.text)

import OpenAI from "openai";
import fs from "node:fs";

const client = new OpenAI({
  baseURL: "https://synthorai.io/v1",
  apiKey: "sk-syn-...",
});

const resp = await client.audio.transcriptions.create({
  model: "gpt-4o-transcribe-diarize",
  // model: "seed-asr-bigmodel",  // 이 줄의 주석을 해제하고, 윗줄을 주석 처리하세요
  file: fs.createReadStream("meeting.mp3"),
});
console.log(resp.text);

curl https://synthorai.io/v1/audio/transcriptions \
  -H "Authorization: Bearer sk-syn-..." \
  -F model="gpt-4o-transcribe-diarize" \
  # -F model="seed-asr-bigmodel" \  # 이 줄의 주석을 해제하고, 윗줄을 주석 처리하세요
  -F file=@meeting.mp3

package main

import (
	"context"
	"fmt"
	"os"

	"github.com/openai/openai-go/v3"
	"github.com/openai/openai-go/v3/option"
)

func main() {
	client := openai.NewClient(
		option.WithBaseURL("https://synthorai.io/v1"),
		option.WithAPIKey("sk-syn-..."),
	)
	f, _ := os.Open("meeting.mp3")
	resp, _ := client.Audio.Transcriptions.New(context.TODO(), openai.AudioTranscriptionNewParams{
		Model: "gpt-4o-transcribe-diarize",
		// Model: "seed-asr-bigmodel",  // 이 줄의 주석을 해제하고, 윗줄을 주석 처리하세요
		File:  f,
	})
	fmt.Println(resp.Text)
}

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.audio.transcriptions.*;
import java.nio.file.Paths;

OpenAIClient client = OpenAIOkHttpClient.builder()
    .baseUrl("https://synthorai.io/v1")
    .apiKey("sk-syn-...")
    .build();

Transcription resp = client.audio().transcriptions().create(
    TranscriptionCreateParams.builder()
        .model("gpt-4o-transcribe-diarize")
        // .model("seed-asr-bigmodel")  // 이 줄의 주석을 해제하고, 윗줄을 주석 처리하세요
        .file(Paths.get("meeting.mp3"))
        .build()).asTranscription();
System.out.println(resp.text());