Dokumentasi API

Integrate kuat terjemahan ke aplikasi Anda dengan API REST sederhana kami.

Mulai

TerjemahanAPI menyediakan antarmuka sederhana untuk menerjemahkan teks antara 180+ bahasa. Semua titik akhir API membalas respon JSON.

1. Get Your API Key

Create a free account and generate your API key from the dashboard:

  1. Sign up at translateapi.ai/signup
  2. Go to Dasbor → Tombol API
  3. Click "Create API Key" and copy your key

API keys start with ta_ followed by 56 hex characters.

URL Dasar: https://api.translateapi.ai/api/v1/
2. Make Your First Request

Replace YOUR_API_KEY with the key from your dashboard:

curl -X POST https://api.translateapi.ai/api/v1/translate/ \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "text": "Hello, world!",
    "target_language": "es"
  }'
import requests

response = requests.post(
    "https://api.translateapi.ai/api/v1/translate/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "text": "Hello, world!",
        "target_language": "es"
    }
)

result = response.json()
print(result["translated_text"])  # "Hola, mundo!"
const response = await fetch("https://api.translateapi.ai/api/v1/translate/", {
    method: "POST",
    headers: {
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    body: JSON.stringify({
        text: "Hello, world!",
        target_language: "es"
    })
});

const result = await response.json();
console.log(result.translated_text);  // "Hola, mundo!"
$ch = curl_init("https://api.translateapi.ai/api/v1/translate/");
curl_setopt_array($ch, [
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => [
        "Authorization: Bearer YOUR_API_KEY",
        "Content-Type: application/json"
    ],
    CURLOPT_POSTFIELDS => json_encode([
        "text" => "Hello, world!",
        "target_language" => "es"
    ])
]);

$result = json_decode(curl_exec($ch), true);
echo $result["translated_text"];  // "Hola, mundo!"
payload := strings.NewReader(`{
    "text": "Hello, world!",
    "target_language": "es"
}`)

req, _ := http.NewRequest("POST", "https://api.translateapi.ai/api/v1/translate/", payload)
req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
req.Header.Set("Content-Type", "application/json")

resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()

var result map[string]interface{}
json.NewDecoder(resp.Body).Decode(&result)
fmt.Println(result["translated_text"])  // "Hola, mundo!"
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer YOUR_API_KEY");

var content = new StringContent(
    JsonSerializer.Serialize(new {
        text = "Hello, world!",
        target_language = "es"
    }),
    Encoding.UTF8,
    "application/json"
);

var response = await client.PostAsync("https://api.translateapi.ai/api/v1/translate/", content);
var result = JsonSerializer.Deserialize<JsonElement>(
    await response.Content.ReadAsStringAsync()
);
Console.WriteLine(result.GetProperty("translated_text"));  // "Hola, mundo!"
Tanggapan
{
    "translated_text": "Hola, mundo!",
    "source_language": "en",
    "target_language": "es",
    "translations": {
        "es": "Hola, mundo!"
    },
    "character_count": 13,
    "translation_time": 0.45
}

Otentikasi

Otentikasi permintaan Anda memakai kunci API. Anda dapat membuat kunci API dari Anda dashboard.

Otentikasi Header (Disarankan)
Authorization: Bearer ta_your_api_key_here
ApiKey Header
Authorization: ApiKey ta_your_api_key_here
Parameter Query
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
Jaga kunci API Anda tetap aman! Jangan mengekspos mereka dalam kode sisi klien atau repositori publik.

Terjemahkan Teks

Terjemahkan teks ke bahasa target tunggal.

POST https://api.translateapi.ai/api/v1/translate/
Badan Permintaan
Parameter Tipe Diperlukan Deskripsi
text string Ya Teks untuk diterjemahkan (maksimal 50.000 karakter)
target_language string Ya * Target language code (e.g., "es", "fr", "de")
source_language string Tidak Source language code. Default: "auto" (auto-detect)
engine string Tidak Translation engine: "auto" (default), "huggingface", or "madlad". See Translation Models. Model Penerjemahan.

* Gunakan target_language (string) untuk bahasa tunggal atau target_languages (array) untuk beberapa. lihat Terjemahan Multi-Target.

Tanggapan
{
    "translated_text": "Hola, mundo!",
    "source_language": "en",
    "target_language": "es",
    "translations": {
        "es": "Hola, mundo!"
    },
    "character_count": 13,
    "translation_time": 0.45
}
Auto-Detection: Omit source_language or set it to "auto" to automatically detect the source language. The detected language is returned in the source_language response field.

Terjemahan Multi-Target

Terjemahkan teks ke berbagai bahasa dalam satu permintaan. Gunakan titik akhir yang sama dengan terjemahan tunggal.

POST https://api.translateapi.ai/api/v1/translate/
Badan Permintaan
{
    "text": "Hello, world!",
    "target_languages": ["es", "fr", "de", "ja"],
    "source_language": "en"
}

Gunakan target_languages (array) bukan target_language (string) untuk beberapa target.

Tanggapan
{
    "source_language": "en",
    "translations": {
        "es": "Hola, mundo!",
        "fr": "Bonjour, monde!",
        "de": "Hallo, Welt!",
        "ja": "こんにちは、世界!"
    },
    "character_count": 52,
    "translation_time": 2.31
}
Tip: Anda dapat menerjemahkan hingga 50 bahasa dalam satu permintaan.

Terjemahan Batch

Terjemahkan beberapa teks sekaligus dengan pemrosesan sinkronisasi. Kirim batch dan jajak pendapat untuk hasil.

Limits: Max 100 texts per batch, max 300 total items (texts × target languages). Jobs time out 45 minutes after processing starts.
Speed: Common languages (ES, FR, DE) use fast models (~0.1s/text). Less common languages use our multilingual model (~1-3s/text).
POST https://api.translateapi.ai/api/v1/translate/batch/
Langkah 1: Masukkan Batch
curl -X POST https://api.translateapi.ai/api/v1/translate/batch/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "texts": ["Hello", "Goodbye", "Thank you"],
    "target_language": "es",
    "source_language": "en"
}'
Tanggapan (HTTP 202 Diterima)
{
    "job_id": "67535b2b-c9e3-4f82-9499-e237edbc1dd8",
    "status": "pending",
    "total_texts": 3,
    "queue_position": 1,
    "source_language": "en",
    "target_languages": ["es"],
    "character_count": 22,
    "credits_remaining": -1,
    "poll_url": "https://api.translateapi.ai/api/v1/jobs/67535b2b-c9e3-4f82-9499-e237edbc1dd8/"
}
Langkah 2: Poll untuk Hasil
GET https://api.translateapi.ai/api/v1/jobs/{job_id}/
Contoh Polling (Python)
import time, requests

job_id = response.json()["job_id"]
total = response.json()["total_texts"]
headers = {"Authorization": "Bearer YOUR_API_KEY"}

print(f"Batch submitted: {total} texts (job {job_id})")

while True:
    result = requests.get(f"https://api.translateapi.ai/api/v1/jobs/{job_id}/", headers=headers).json()
    status = result["status"]
    processed = result.get("processed_texts", 0)
    progress = result.get("progress_percentage", 0)

    if status == "completed":
        print(f"Done: {processed}/{total} in {result.get('processing_time', 0):.1f}s")
        translations = result["result_data"]["translations"]
        break
    elif status == "failed":
        raise Exception(result.get("error_message", "Translation failed"))
    elif status == "pending":
        print(f"Queued (position {result.get('queue_position', '?')})")
    else:
        print(f"[{status}] {processed}/{total} ({progress:.0f}%)")

    time.sleep(3)
Respon (selesai)
{
    "job_id": "67535b2b-...",
    "status": "completed",
    "processed_texts": 3,
    "total_texts": 3,
    "progress_percentage": 100.0,
    "processing_time": 10.65,
    "result_data": {
        "translations": ["Hola", "Adiós", "Gracias"],
        "source_language": "en",
        "target_language": "es",
        "character_count": 22,
        "processing_time": 10.65
    }
}
Real-Time Progress Tracking
Field Deskripsi
status pending (queued, waiting for a GPU worker), processing (actively translating), completed, failed
processed_texts Number of individual translations completed so far. Updates in real time as each text is translated.
progress_percentage Completion percentage (0-100). Calculated from processed_texts / total_texts.
queue_position Your position in the queue when status is "pending" (1 = next up). Null when processing or completed. Use this to estimate wait time and show queue status to your users.
processing_time Total processing time in seconds (available when completed).
Batch Multi-Bahasa

Terjemahkan beberapa teks ke berbagai bahasa sekaligus:

{
    "texts": ["Hello", "Goodbye"],
    "target_languages": ["es", "fr"],
    "source_language": "en"
}
Hasil_data selesai
{
    "translations": [
        {"es": "Hola", "fr": "Bonjour"},
        {"es": "Adiós", "fr": "Au revoir"}
    ],
    "source_language": "en",
    "target_languages": ["es", "fr"],
    "character_count": 24,
    "processing_time": 2.45
}
Parameter Permintaan
Parameter Tipe Diperlukan Deskripsi
texts array Ya Array string untuk menerjemahkan
target_language string Ya * Target kode bahasa untuk bahasa tunggal
target_languages array Ya * Array dari kode bahasa target untuk berbagai bahasa
source_language string Tidak Source language code. Default: "auto"

* Berikan baik target_language atau target_languagesBukan keduanya.

Best Practices for Large Workloads
  • Send 1 target language per batch request. This keeps each batch fast and makes progress easy to track.
  • Keep batches at 50-100 texts. Smaller batches complete faster and give you more frequent progress updates.
  • Submit as many batch jobs as you need — our GPU cluster auto-scales to handle demand. Jobs are processed in parallel across multiple instances.
  • On timeout, re-poll the same job_id instead of submitting a new batch. The original job may still be processing on the GPU.
  • Poll every 3-5 seconds. More frequent polling does not speed up processing.

Terjemahan Dokumen

Terjemahkan seluruh dokumen saat melestarikan format. Mendukung beberapa format berkas.

POST https://api.translateapi.ai/api/v1/translate/document/
Permintaan (multipart/form-data)
Parameter Tipe Diperlukan Deskripsi
file file Ya Dokumen untuk diterjemahkan (max 10MB)
target_language string Ya Target language code (e.g., "es", "fr", "de")
source_language string Tidak Source language code. Default: "auto" (auto-detect)
Tipe Berkas Yang Didukung
Documents
  • .txt - Berkas teks biasa
  • .docx - Dokumen Word
  • .pdf - Dokumen PDF (termasuk pemindaian)
Data & Localization
  • .json - Berkas JSON (menterjemahkan nilai string)
  • .xml - Berkas XML
  • .srt - Berkas subjudul
  • .po / .pot - Berkas terjemahan Gettext
Images (OCR)
  • .jpg / .jpeg - Gambar JPEG (OCR)
  • .png - Gambar PNG (OCR)
  • .tiff / .tif - Citra TIFF (OCR)
  • .bmp - Gambar BMP (OCR)
  • .webp - Citra WebP (OCR)
Contoh (kurl)
# Translate a Word document
curl -X POST https://api.translateapi.ai/api/v1/translate/document/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@document.docx" \
  -F "target_language=es" \
  -F "source_language=en"

# Translate text from an image (OCR)
curl -X POST https://api.translateapi.ai/api/v1/translate/document/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@scanned_page.jpg" \
  -F "target_language=es" \
  -F "source_language=en"
Tanggapan
{
    "id": 123,
    "original_filename": "document.docx",
    "file_type": "docx",
    "source_language": "en",
    "target_language": "es",
    "status": "completed",
    "character_count": 5420,
    "translated_file_url": "/media/translated/document_es.docx",
    "created_at": "2024-01-15T10:30:00Z",
    "completed_at": "2024-01-15T10:30:05Z"
}
Dukungan OCR: Berkas gambar dan dipindai PDF diproses dengan pengenalan karakter optik (OCR) untuk mengekstrak teks sebelum terjemahan. Untuk hasil terbaik, gunakan gambar resolusi tinggi yang jelas.
GET https://api.translateapi.ai/api/v1/translate/document/{id}/

Periksa status dari sebuah terjemahan dokumen atau ambil kembali URL unduhan.

Nilai Status
pending Berkas diunggah, menunggu diproses
processing Penerjemahan sedang berlangsung
completed Terjemahan selesai, download tersedia
failed Terjemahan gagal (check error_message)

Bahasa yang Didukung

Dapatkan daftar semua bahasa yang didukung.

GET https://api.translateapi.ai/api/v1/translate/languages/
Tanggapan
{
    "count": 186,
    "results": [
        {"iso": "en", "name": "English", "en_label": "English"},
        {"iso": "es", "name": "Español", "en_label": "Spanish"},
        {"iso": "fr", "name": "Français", "en_label": "French"},
        ...
    ]
}

View All 186 Languages

Submit Corrections

Suggest a better translation for a given source text. Corrections enter a moderation queue; once approved by our team they surface as "Community Verified" translations for that text.

Note: this endpoint is served from the main domain https://translateapi.ai/api/v1/ (not the api. translation host), and requires an API key.
POST https://translateapi.ai/api/v1/suggestions/
Badan Permintaan
Parameter Tipe Deskripsi
source_text string The original text that was translated.
source_language string Source language code (e.g. "en").
target_language string Target language code (e.g. "es").
machine_translation string The machine translation you are correcting.
suggested_translation string Your improved translation (must differ from machine_translation).
Example Request
curl -X POST https://translateapi.ai/api/v1/suggestions/ \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
    "source_text": "Hello, world!",
    "source_language": "en",
    "target_language": "es",
    "machine_translation": "Hola, mundo!",
    "suggested_translation": "¡Hola, mundo!"
}'
Tanggapan
{
    "id": 4213,
    "status": "pending",
    "created": true,
    "message": "Correction submitted for review."
}

Re-submitting the same source/language pair updates your existing suggestion instead of creating a duplicate (returns 200 with "created": false).

Model Penerjemahan

Kami menggunakan model terjemahan open source yang canggih yang berjalan pada infrastruktur GPU kami sendiri. Semua model dilisensikan secara komersial (Apache 2.0).

Model Bahasa Terbaik Untuk
Helsinki-NLP/opus-mt 50+ pasangan bahasa Bahasa umum (EN, ES, FR, DE, IT, PT, RUS, ZH, JA, dsb.)
Google MADLAD-400 400+ bahasa Bahasa langka, cakupan komprehensif

API secara otomatis memilih model terbaik bagi pasangan bahasa Anda. Anda dapat menentukan secara opsional engine parameter:

Mesin Deskripsi
"auto" Tries HuggingFace pertama, jatuh kembali ke MADLAD-400
"huggingface" Force Huggingface/MarianMT (paling cepat, 50 bahasa+)
"madlad" Force MADLAD-400 (400+ bahasa)

Kesalahan Menangani

API menggunakan kode status HTTP standar untuk mengindikasikan sukses atau gagal.

Kode Deskripsi
200 Berhasil
202 Accepted — Batch job queued successfully
400 Bad Request — Invalid parameters (missing text, unsupported language, etc.)
401 Tak berwenang - Kunci API tak valid atau hilang
402 Payment Required — Character credits exhausted. Upgrade your plan or purchase a top-up.
403 Forbidden — API key lacks required scope or IP not in whitelist
503 Layanan mesin Terjemahan untuk sementara tidak tersedia
Format Respon Galat
{
    "error": "insufficient_credits",
    "credits_remaining": 0
}

Usage Limits

TranslateAPI has no request rate limits. All requests are queued and processed by our auto-scaling GPU cluster. Your plan determines your monthly character allowance:

Rencana Karakter/Bulan Batch API Documents Harga
Bebas 250,000 $0 Daftar Bebas
Pemulai 2,500,000 $9/mo Berlangganan
Pro 10,000,000 $29/mo Berlangganan
Bisnis 40,000,000 $79/mo Berlangganan
Skala 125,000,000 $199/mo Berlangganan
Enterprise Unlimited $499/mo Contact Sales

Ketika Anda melampaui batas Anda, Anda akan menerima 402 Payment Required respon sampai bulan depan atau Anda upgrade.

Auto-Scaling Cloud Infrastructure

TranslateAPI runs on dedicated NVIDIA A100 GPU instances with automatic horizontal scaling. When demand increases, additional GPU instances are launched within minutes to maintain fast response times. All requests are queued and processed — send hundreds of concurrent requests and they'll all be handled. Real-time translations get priority, batch jobs process in the background.

Need More Credits?

Run out of characters mid-month? Purchase a one-time credit top-up without changing your plan. View top-up packs

Laju halaman ini
Terima kasih atas ratingmu!
/5 berdasarkan peringkat