Dokimantasyon API
Intégrer tradiksyon pwisan nan aplikasyon ou ak nou senp REST API.
Kòmanse
TranslateAPI a bay yon entèfas REST senp pou tradiksyon tèks ant plis pase 180 lang.Tout pwen fen API a bay repons 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 → Clés 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!"
Reponn
{
"translated_text": "Hola, mundo!",
"source_language": "en",
"target_language": "es",
"translations": {
"es": "Hola, mundo!"
},
"character_count": 13,
"translation_time": 0.45
}
Authentification
Authentifier demann ou an lè l sèvi avèk yon kle API. Ou ka kreye kle API soti nan tablèt.
Authentication Header (Recommended)
Authorization: Bearer ta_your_api_key_here
ApiKey Header
Authorization: ApiKey ta_your_api_key_here
Paramèt kesyon
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
Tradiksyon
Tradiksyon tèks nan yon lang objektif sèl.
POST https://api.translateapi.ai/api/v1/translate/
Kò demann lan
| Paramèt | Tipe | Required | Deskripsyon |
|---|---|---|---|
text |
string | Wi | Text to translate (max 50, 000 characters) |
target_language |
string | Wi* | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Non | Source language code. Default: "auto" (auto-detect) |
engine |
string | Non | Translation engine: "auto" (default), "huggingface", or "madlad". See Translation Models. Modèl Tradiksyon. |
* Itilize target_language (string) pou lang sèl oswa target_languages (array) pou plizyè. Gade Tradiksyon Multi- Target.
Reponn
{
"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.
Tradiksyon Multi- Target
Tradwi tèks nan plizyè lang nan yon sèl demann. Itilize menm pwen an bout tankou tradiksyon sèl.
POST https://api.translateapi.ai/api/v1/translate/
Kò demann lan
{
"text": "Hello, world!",
"target_languages": ["es", "fr", "de", "ja"],
"source_language": "en"
}
Itilize target_languages (array) an plas de target_language (string) pou plis pase yon objektif.
Reponn
{
"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
}
Tradiksyon
Tradwi plizyè tèks nan yon fwa ak pwosesis async. Soumèt yon batch ak sondaj pou rezilta yo.
POST https://api.translateapi.ai/api/v1/translate/batch/
Etape 1: Soumèt 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"
}'
Reponn (HTTP 202 aksepte)
{
"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/"
}
Etape 2: Sondaj pou rezilta yo
GET https://api.translateapi.ai/api/v1/jobs/{job_id}/
Polling Example (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)
Reponn (komple)
{
"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 | Deskripsyon |
|---|---|
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- lang batch
Tradwi plizyè tèks nan plizyè lang nan yon fwa:
{
"texts": ["Hello", "Goodbye"],
"target_languages": ["es", "fr"],
"source_language": "en"
}
Completed result_data
{
"translations": [
{"es": "Hola", "fr": "Bonjour"},
{"es": "Adiós", "fr": "Au revoir"}
],
"source_language": "en",
"target_languages": ["es", "fr"],
"character_count": 24,
"processing_time": 2.45
}
Paramèt demann
| Paramèt | Tipe | Required | Deskripsyon |
|---|---|---|---|
texts |
array | Wi | Array of strings to translate |
target_language |
string | Wi* | Kode lang target pou lang sèl |
target_languages |
array | Wi* | Array of target language codes for multiple languages |
source_language |
string | Non | Source language code. Default: "auto" |
* Fòmilè target_language or target_languages, pa tou de.
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.
Tradiksyon Dokiman
Tradwi tout dokiman pandan y ap kenbe fòmatasyon. Sopòte plizyè fòma dosye.
POST https://api.translateapi.ai/api/v1/translate/document/
Demand (multipart/form-data)
| Paramèt | Tipe | Required | Deskripsyon |
|---|---|---|---|
file |
file | Wi | Dokiman pou tradwi (maksimòm 10MB) |
target_language |
string | Wi | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Non | Source language code. Default: "auto" (auto-detect) |
Tipi Fichiè Soute
Documents
.txt- Fichiè tèks.docx- Dokiman Word.pdf- Dokiman PDF (ki gen ladan scanned)
Data & Localization
.json- Fichye JSON (tradiksyon valè string).xml- Fichye XML.srt- Fichiè sous-titres.po/.pot- Fichye tradiksyon Gettext
Images (OCR)
.jpg/.jpeg- Imèl JPEG (OCR).png- PNG imaj (OCR).tiff/.tif- imaj TIFF (OCR).bmp- BMP imaj (OCR).webp- WebP imaj (OCR)
Egzanp (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"
Reponn
{
"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}/
Tcheke estati yon tradiksyon dokiman oswa jwenn URL pou telechaje.
Valè eta
pending |
Fichiè a telechaje, ap tann pou l dwe trete |
processing |
Tradiksyon an ap fèt |
completed |
Tradiksyon fini, telechaje disponib |
failed |
Tradiksyon an te pèdi (check error_message) |
Lang ki sipòte
Obtenn lis tout lang ki sipòte yo.
GET https://api.translateapi.ai/api/v1/translate/languages/
Reponn
{
"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/
Kò demann lan
| Parameter | Tipe | Deskripsyon |
|---|---|---|
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!"
}'
Reponn
{
"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).
Modèl Tradiksyon
Nou itilize modèl tradiksyon open source ki kouri sou infrastrikti GPU nou an. Tout modèl yo gen lisans komèsyal (Apache 2.0).
| Modèl | Lang | Pi bon pou |
|---|---|---|
| Helsinki-NLP/opus-mt | 50+ pè lang | Lang komen (EN, ES, FR, DE, IT, PT, RU, ZH, JA, etc.) |
| Google MADLAD-400 | 400+ lang | Lang ra, kouvrefe konplè |
API a otomatikman chwazi pi bon modèl la pou pè lang ou. Ou ka opcionellement endike yon engine Paramèt:
| Motè | Deskripsyon |
|---|---|
"auto" |
Default. Tryes HuggingFace first, falls back to MADLAD-400 |
"huggingface" |
Force HuggingFace/MarianMT (pi vit, 50+ lang) |
"madlad" |
Force MADLAD-400 (400+ lang) |
Manipilasyon erè
API a itilize kòd estati HTTP estanda pou endike siksè oswa erè.
| Kòd | Deskripsyon |
|---|---|
| 200 | Succès |
| 202 | Accepted — Batch job queued successfully |
| 400 | Bad Request — Invalid parameters (missing text, unsupported language, etc.) |
| 401 | Pa otorize - Chèn API ki manke oswa ki pa valab |
| 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 |
Format repons erè
{
"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:
| Plan | Karaktè/Moun | Batch API | Documents | Pri | |
|---|---|---|---|---|---|
| Gratis | 250,000 | — | — | $0 | Enskri pou gratis |
| Starter | 2,500,000 | $9/mo | Abònman | ||
| Pro | 10,000,000 | $29/mo | Abònman | ||
| Biznis | 40,000,000 | $79/mo | Abònman | ||
| Eskalye | 125,000,000 | $199/mo | Abònman | ||
| Enterprise | Unlimited | $499/mo | Contact Sales |
Lè ou depase limit ou, ou pral resevwa yon 402 Payment Required pa gen okenn repons jiskaske mwa kap vini an oswa ou mete ajou.
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