Dokumentasi API
Mengintegrasikan terjemahan yang kuat ke dalam aplikasi anda dengan API REST mudah kami.
Memulakan
TranslateAPI menyediakan antaramuka REST mudah untuk menterjemah teks antara 180+ bahasa. Semua titik akhir API mengembalikan maklum balas 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 Dashboard → Kekunci 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!"
Balasan
{
"translated_text": "Hola, mundo!",
"source_language": "en",
"target_language": "es",
"translations": {
"es": "Hola, mundo!"
},
"character_count": 13,
"translation_time": 0.45
}
Pengesahan
Sahkan permintaan anda menggunakan kekunci API. Anda boleh cipta kekunci API dari papan pemuka.
Pengesahan Pengepala (Dicadangkan)
Authorization: Bearer ta_your_api_key_here
ApiKey Header
Authorization: ApiKey ta_your_api_key_here
Parameter Pertanyaan
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
Terjemah Teks
Terjemah teks ke dalam bahasa sasaran tunggal.
POST https://api.translateapi.ai/api/v1/translate/
Tubuh Permintaan
| Parameter | Jenis | Diperlukan | Huraian |
|---|---|---|---|
text |
string | Ya | Teks untuk diterjemah (maksimum 50,000 aksara) |
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 Terjemahan. |
* Guna target_language (rantai) untuk bahasa tunggal atau target_languages (array) untuk berbilang. Lihat Penterjemahan Sasaran Berbilang.
Balasan
{
"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.
Penterjemahan Sasaran Berbilang
Terjemah teks ke beberapa bahasa dalam satu permintaan. Guna titik akhir yang sama sebagai terjemahan tunggal.
POST https://api.translateapi.ai/api/v1/translate/
Tubuh Permintaan
{
"text": "Hello, world!",
"target_languages": ["es", "fr", "de", "ja"],
"source_language": "en"
}
Guna target_languages (aras) bukannya target_language (string) untuk sasaran berbilang.
Balasan
{
"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 Baru
Terjemah teks berbilang pada satu masa dengan pemprosesan asynchronous. Hantar sepucuk dan undian untuk hasil.
POST https://api.translateapi.ai/api/v1/translate/batch/
Langkah 1: Hantar 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"
}'
Balasan (HTTP 202 Terima)
{
"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: Soalan 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)
Balasan (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 | Huraian |
|---|---|
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 Berbilang-Bahasa
Terjemah teks berbilang ke berbilang bahasa pada satu masa:
{
"texts": ["Hello", "Goodbye"],
"target_languages": ["es", "fr"],
"source_language": "en"
}
Data_hasil 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 | Jenis | Diperlukan | Huraian |
|---|---|---|---|
texts |
array | Ya | Aras rentetan untuk diterjemah |
target_language |
string | Ya* | Kod bahasa sasaran untuk bahasa tunggal |
target_languages |
array | Ya* | Aras kod bahasa sasaran untuk berbilang bahasa |
source_language |
string | Tidak | Source language code. Default: "auto" |
* Berikan sama ada target_language atau target_languages, bukan kedua-duanya.
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 keseluruhan dokumen sambil memelihara formatan. Menyokong beberapa format fail.
POST https://api.translateapi.ai/api/v1/translate/document/
Permintaan (multipart/form-data)
| Parameter | Jenis | Diperlukan | Huraian |
|---|---|---|---|
file |
file | Ya | Dokumen untuk diterjemah (maksimum 10MB) |
target_language |
string | Ya | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Tidak | Source language code. Default: "auto" (auto-detect) |
Jenis fail disokong
Documents
.txt- Fail teks biasa.docx- Dokumen Word.pdf- Dokumen PDF (termasuk yang diimbas)
Data & Localization
.json- Fail JSON (menterjemah nilai rentetan).xml- Fail XML.srt- Fail subtajuk.po/.pot- Fail terjemahan Gettext
Images (OCR)
.jpg/.jpeg- Imej JPEG (OCR).png- Imej PNG.tiff/.tif- Imej TIFF (OCR).bmp- Imej BMP (OCR).webp- Imej WebP (OCR)
Contoh (cURL)
# 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"
Balasan
{
"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}/
Semak status terjemahan dokumen atau dapatkan URL muat turun.
Nilai Status
pending |
Fail dimuat naik, menunggu untuk diproses |
processing |
Penterjemahan sedang berjalan |
completed |
Terjemahan lengkap, muat turun tersedia |
failed |
Terjemahan gagal (periksa error_message) |
Bahasa yang disokong
Dapatkan senarai semua bahasa yang disokong.
GET https://api.translateapi.ai/api/v1/translate/languages/
Balasan
{
"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/
Tubuh Permintaan
| Parameter | Jenis | Huraian |
|---|---|---|
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!"
}'
Balasan
{
"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 Terjemahan
Kami menggunakan model terjemahan sumber terbuka terkini yang berjalan pada infrastruktur GPU kami sendiri. Semua model dilesenkan secara komersial (Apache 2.0).
| Model | Bahasa | Terbaik Untuk |
|---|---|---|
| Helsinki-NLP/opus-mt | 50+ pasangan bahasa | Bahasa umum (EN, ES, FR, DE, IT, PT, RU, ZH, JA, dll.) |
| Google MADLAD-400 | 400+ bahasa | Bahasa langka, liputan komprehensif |
API secara automatik memilih model terbaik untuk pasangan bahasa anda. Anda boleh tentukan secara opsyenal engine parameter:
| Enjin | Huraian |
|---|---|
"auto" |
Lalai. Cuba HuggingFace pertama, kembali ke MADLAD-400 |
"huggingface" |
Paksa HuggingFace/MarianMT (terpantas, 50+ bahasa) |
"madlad" |
Force MADLAD-400 (400+ bahasa) |
Pengendalian Ralat
API menggunakan kod status HTTP piawai untuk menunjukkan kejayaan atau kegagalan.
| Kod | Huraian |
|---|---|
| 200 | Kejayaan |
| 202 | Accepted — Batch job queued successfully |
| 400 | Bad Request — Invalid parameters (missing text, unsupported language, etc.) |
| 401 | Tidak dibenarkan - Kekunci API tidak sah 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 | Servis tidak tersedia - enjin terjemahan untuk sementara terhenti |
Format Balasan Ralat
{
"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:
| Pelan | Aksara/bulan | Batch API | Documents | Harga | |
|---|---|---|---|---|---|
| Bebas | 250,000 | — | — | $0 | Daftar Masuk |
| Pelancar | 2,500,000 | $9/ms | Langganan | ||
| Pro | 10,000,000 | $29/ms | Langganan | ||
| Perniagaan | 40,000,000 | $79/ms | Langganan | ||
| Skala | 125,000,000 | $199/ms | Langganan | ||
| Enterprise | Unlimited | $499/ms | Contact Sales |
Apabila anda melebihi had anda, anda akan menerima 402 Payment Required respon sehingga bulan depan atau anda menaik taraf.
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