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:

  1. Sign up at translateapi.ai/signup
  2. Go to Dashboard → Kunci 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!"
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
Tahan kunci API sampeyan aman! Henteu dianjurkeun pikeun nyiptakeun kode klien-side atanapi repositori publik.

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
}
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

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
}
_Ciri: Anjeun bisa narjamahkeun ka nepi ka 50 basa dina hiji pamundut.

Terjemah

Terjemahkeun sababaraha teks sakaligus nganggo pamrosésan async. Kirim batches sarta polls pikeun 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: 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"
}
Сүрөттөр Berkas gambar jeung PDF anu dipindai diolah ku pangidentipikasi aksara optik (OCR) pikeun ngabédakeun téks saméméh diterjemahkeun. Pikeun hasil anu pangalusna, gunakeun gambar anu jelas, resolusi luhur.
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"},
        ...
    ]
}

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/
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

Rangking kaca iki
Matur nuwun kanggo rating sampeyan!
/5 berdasarkan pada ratings