Dokumen
Nggabungake terjemahan kuat menyang aplikasi sampeyan karo REST API sederhana kita.
Getting Started
TranslateAPI nyadiakeun antarmuka REST sederhana pikeun ngawaler teks antara 180+ basa. Sadaya titik tungtung API balikkeun tanggapan 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 → Kunci 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
}
Autentikasi
Autentikasi pitakonan nganggo kunci API. Sampeyan bisa nyipta kunci API saka dashboard.
Autentikasi bagéan ndhuwur (dianjurake)
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
Түүхий текст
Terjemah teks menyang siji basa tujuan.
POST https://api.translateapi.ai/api/v1/translate/
Tubuh Panggonan
| Parameter | _Jenis | Diperlukan | Keterangan |
|---|---|---|---|
text |
string | Iya | Teks kanggo diterjemahake (nganti 50.000 aksara) |
target_language |
string | Ya* | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Ora | Source language code. Default: "auto" (auto-detect) |
engine |
string | Ora | Translation engine: "auto" (default), "huggingface", or "madlad". See Translation Models. Model terjemahan. |
* Gunakan target_language (string) kanggo basa tunggal utawa target_languages (array) kanggo multiple. Lihat Terjemahan multi-target.
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.
Terjemahan multi-target
Nerjemahkeun teks kana sababaraha basa dina panyungsi tunggal. Ngagunakeun titik akhir anu sami sareng panyungsi tunggal.
POST https://api.translateapi.ai/api/v1/translate/
Tubuh Panggonan
{
"text": "Hello, world!",
"target_languages": ["es", "fr", "de", "ja"],
"source_language": "en"
}
Pangguna target_languages (array) ngganti target_language (string) kanggo target ganda.
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
}
Terjemah
Terjemahkeun sababaraha teks sakaligus nganggo pamrosésan async. Kirim batches sarta polls pikeun hasil.
POST https://api.translateapi.ai/api/v1/translate/batch/
Langkah 1: Kirim 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"
}'
Jawaban (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 for Results
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)
Jawaban (rampung)
{
"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 | Keterangan |
|---|---|
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). |
Multi-Language Batch
Terjemahake sawetara teks menyang pirang-pirang basa sekaligus:
{
"texts": ["Hello", "Goodbye"],
"target_languages": ["es", "fr"],
"source_language": "en"
}
Hasil_data rampung
{
"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 pitakonan
| Parameter | _Jenis | Diperlukan | Keterangan |
|---|---|---|---|
texts |
array | Iya | Array strings kanggo disalin |
target_language |
string | Ya* | Kode basa target kanggo basa tunggal |
target_languages |
array | Ya* | Array saka kode basa target kanggo akeh basa |
source_language |
string | Ora | Source language code. Default: "auto" |
* Nyawiji salah siji target_language utawa target_languages, ora loro.
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
Terjemahake sakumna dokumén nalika ngalestarikeun pangolahan. Dukung format berkas ganda.
POST https://api.translateapi.ai/api/v1/translate/document/
Panggonan (multipart/form-data)
| Parameter | _Jenis | Diperlukan | Keterangan |
|---|---|---|---|
file |
file | Iya | Dokumen kanggo diterjemahake (maksimum 10MB) |
target_language |
string | Iya | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Ora | Source language code. Default: "auto" (auto-detect) |
Tipe Fail sing Didukung
Documents
.txt- Fayil teks biasa.docx- Dokumen Word.pdf- Dokumen PDF (kalebu sing dipindai)
Data & Localization
.json- Berkas JSON (ngerjemahake nilai string).xml- Fail XML.srt- Fayl subtitle.po/.pot- Fail terjemahan Gettext
Images (OCR)
.jpg/.jpeg- Gambar JPEG (OCR).png- Gambar PNG (OCR).tiff/.tif- Gambar TIFF (OCR).bmp- Gambar BMP (OCR).webp- Gambar WebP (OCR)
Conto (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}/
Ngetes status terjemahan dokumèn utawa ngundhuh URL.
Nilai Status
pending |
Berkas wis diunggah, ngenteni diproses |
processing |
Translation in progress |
completed |
Terjemahan rampung, bisa diunduh |
failed |
terjemahan gagal (cek error_message) |
Basa- basa sing didukung
Njupuk dhaptar saka kabeh basa sing didhukung.
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 Panggonan
| Parameter | _Jenis | Keterangan |
|---|---|---|
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 nganggo model terjemahan sumber terbuka anu paling canggih anu dijalankeun dina infrastruktur GPU urang sorangan. Sadaya model dilisensikan sacara komersial (Apache 2.0).
| Model | Basa | Paling apik kanggo |
|---|---|---|
| Helsinki-NLP/opus-mt | 50+ pasangan basa | Basa-basa umum (EN, ES, FR, DE, IT, PT, RU, ZH, JA, lsp.) |
| Google MADLAD-400 | 400+ basa | Basa-basa langka, panglipur komprehensif |
API otomatis milih model sing paling apik kanggo pasangan basa sampeyan. Sampeyan bisa nyetel pilihan engine پارامتر:
| Mesin | Keterangan |
|---|---|
"auto" |
Piawai. Ngupayakake HuggingFace pisanan, banjur bali menyang MADLAD-400 |
"huggingface" |
Force HuggingFace/MarianMT (paling cepet, 50+ basa) |
"madlad" |
Force MADLAD-400 (400+ basa) |
Pengendalian Kesalahan
API nggunakake kode status HTTP standar kanggo nuduhake sukses utawa gagal.
| Kode | Keterangan |
|---|---|
| 200 | Sukses |
| 202 | Accepted — Batch job queued successfully |
| 400 | Bad Request — Invalid parameters (missing text, unsupported language, etc.) |
| 401 | Tanpa ijin - Kunci API ora sah utawa ilang |
| 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 | Service Unavailable - Translation engine temporarily down |
Bentuk Balasan Kesalahan
{
"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:
| Plane | Карактар/Ай | Batch API | Documents | Harga | |
|---|---|---|---|---|---|
| Bebas | 250,000 | — | — | $0 | Gabung Free |
| Pemula | 2,500,000 | $9/ms | Langganan | ||
| Pro | 10,000,000 | $29/ms | Langganan | ||
| Bisnis | 40,000,000 | $79/ms | Langganan | ||
| Skala | 125,000,000 | $199/ms | Langganan | ||
| Enterprise | Unlimited | $499/ms | Contact Sales |
Nalika sampeyan ngluwihi watesan, sampeyan bakal nampa 402 Payment Required respon nganti wulan sabanjure utawa sampeyan 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