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:
- Sign up at translateapi.ai/signup
- Go to Dasbor → Tombol API
- Click "Create API Key" and copy your key
API keys start with ta_ followed by 56 hex characters.
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
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
}
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
}
Terjemahan Batch
Terjemahkan beberapa teks sekaligus dengan pemrosesan sinkronisasi. Kirim batch dan jajak pendapat untuk hasil.
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"
}
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"},
...
]
}
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.
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