API dokumentacija
Integrirajte moćan prijevod u vaše aplikacije s našim jednostavnim REST API.
Započinjemo
TranslateAPI pruža jednostavno REST sučelje za prevođenje teksta između 180+ jezika. Svi API ishodi vraća JSON odgovore.
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 Deska ploče → API tipke
- 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!"
Odgovor
{
"translated_text": "Hola, mundo!",
"source_language": "en",
"target_language": "es",
"translations": {
"es": "Hola, mundo!"
},
"character_count": 13,
"translation_time": 0.45
}
Ovjera
Ovjerite svoje zahtjeve korištenjem API ključa. Možete stvoriti API tipke iz vašeg Tabela s pločama.
Ovjera zaglavlja (preporučena)
Authorization: Bearer ta_your_api_key_here
ApiKey Header
Authorization: ApiKey ta_your_api_key_here
Parametr upita
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
Prevedi tekst
Prevedite tekst na jedan ciljni jezik.
POST https://api.translateapi.ai/api/v1/translate/
Zahtjevno tijelo
| Parametri | Vrsta | Potrebno | Opis |
|---|---|---|---|
text |
string | -Da. -Da. | Tekst za prevođenje (najviše 50.000 znakova) |
target_language |
string | Da, da. | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Ne. | Source language code. Default: "auto" (auto-detect) |
engine |
string | Ne. | Translation engine: "auto" (default), "huggingface", or "madlad". See Translation Models. Modeli prijevoda. |
* Koristi target_language (string) za jedan jezik ili target_languages (Marie) za višestruke. Vidi Višestruki prijevod.
Odgovor
{
"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.
Višestruki prijevod
Prevedite tekst na više jezika u jednom zahtjevu. Koristi isti ishod kao i jedan prijevod.
POST https://api.translateapi.ai/api/v1/translate/
Zahtjevno tijelo
{
"text": "Hello, world!",
"target_languages": ["es", "fr", "de", "ja"],
"source_language": "en"
}
Koristi target_languages (marsij) umjesto target_language (string) za više meta.
Odgovor
{
"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
}
Parsirani prijevod
Prevedite više tekstova odjednom s asinc obradom. Pošaljite seriju i anketu za rezultate.
POST https://api.translateapi.ai/api/v1/translate/batch/
Korak 1: Odaberite parcelu
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"
}'
Odgovor (HTTP 202 prihvaćeno)
{
"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/"
}
Korak 2: Istraživanje rezultata
GET https://api.translateapi.ai/api/v1/jobs/{job_id}/
Primjer ispitivanja (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)
Odgovor (dovršen)
{
"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 | Opis |
|---|---|
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). |
Višejezični paket
Prevedi više tekstova na više jezika odjednom:
{
"texts": ["Hello", "Goodbye"],
"target_languages": ["es", "fr"],
"source_language": "en"
}
Dovršeni rezultati
{
"translations": [
{"es": "Hola", "fr": "Bonjour"},
{"es": "Adiós", "fr": "Au revoir"}
],
"source_language": "en",
"target_languages": ["es", "fr"],
"character_count": 24,
"processing_time": 2.45
}
Parametri zatraži
| Parametri | Vrsta | Potrebno | Opis |
|---|---|---|---|
texts |
array | -Da. -Da. | Raspored stringova za prevođenje |
target_language |
string | Da, da. | Šifra ciljnog jezika za jedan jezik |
target_languages |
array | Da, da. | Raspored ciljnih kodova jezika za više jezika |
source_language |
string | Ne. | Source language code. Default: "auto" |
* Osigurajte bilo koji target_language ili target_languages, ne oboje.
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.
_Dokumenti
Prevodi čitave dokumente pri očuvanju formatiranja. Podržava više formata datoteka.
POST https://api.translateapi.ai/api/v1/translate/document/
Zahtjev (multipartmentalni/formalni podaci)
| Parametri | Vrsta | Potrebno | Opis |
|---|---|---|---|
file |
file | -Da. -Da. | Dokument koji će se prevesti (max. 10MB) |
target_language |
string | -Da. -Da. | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Ne. | Source language code. Default: "auto" (auto-detect) |
Podržani tipovi datoteka
Documents
.txt- Obične tekstualne datoteke.docx- Riječni dokumenti.pdf- PDF dokumenti (uključujući skeniranje)
Data & Localization
.json- JSON datoteke (vrijednosti niza prevodi).xml- XML datoteke.srt- Datoteke podnaslova.po/.pot- Gettext translation datoteke
Images (OCR)
.jpg/.jpeg- JPEG slike (OCR).png- PNG slike (OCR).tiff/.tif- TIFF slike (OCR).bmp- BMP slike (OCR).webp- WebP slike (OCR)
Primjer (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"
Odgovor
{
"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}/
Provjerite stanje prijevoda dokumenta ili dohvatite URL preuzimanja.
Vrijednosti stanja
pending |
Datoteka uploadirana, čeka na obradu |
processing |
Prijevod u tijeku |
completed |
Prijevod završen, preuzimanje dostupno |
failed |
Prijevod nije uspio (provjeri pogrešku_poruka) |
Podržani jezici
Dobavi popis svih podržanih jezika.
GET https://api.translateapi.ai/api/v1/translate/languages/
Odgovor
{
"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/
Zahtjevno tijelo
| Parameter | Vrsta | Opis |
|---|---|---|
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!"
}'
Odgovor
{
"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).
Modeli prijevoda
Koristimo najmodernije modele prevođenja otvorenog izvora koji rade na vlastitoj GPU infrastrukturi. Svi modeli su komercijalno licencirani (Apache 2.0).
| Uzorak | Jezici | Najbolje za |
|---|---|---|
| Helsinki-NLP/opus-mt | 50+ Jezikovni parovi | Zajednički jezici (EN, ES, FR, DE, IT, PT, RU, ZH, JA, itd.) |
| Google MADLAD-400 | 400+ jezika | Rijetki jezici, sveobuhvatna pokrivenost |
API automatski odabire najbolji model za vaš jezični par. Možete opcionalno navesti engine parametar:
| Pogon | Opis |
|---|---|
"auto" |
Podrazumijevano. Pokušava prvo HuggingFace, pada natrag na MADLAD-400 |
"huggingface" |
Force HuggingFace/MarianMT (najbrže, 50+ jezika) |
"madlad" |
Sila MADLAD-400 (400+ jezika) |
Rukovanje greškama
API koristi standardne HTTP kodove statusa kako bi pokazao uspjeh ili neuspjeh.
| Oznaka | Opis |
|---|---|
| 200 | Uspjeh |
| 202 | Accepted — Batch job queued successfully |
| 400 | Bad Request — Invalid parameters (missing text, unsupported language, etc.) |
| 401 | Neovlašteni - neispravan ili nedostaje API ključ |
| 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 nedostupan - Prijevod motor privremeno dolje |
Format odgovora na grešku
{
"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 | Znakovi/Mjesec | Batch API | Documents | Cijena | |
|---|---|---|---|---|---|
| Slobodno | 250,000 | — | — | $0 | Slobodno se prijavite |
| Pokretanje | 2,500,000 | $9/Mo | Pretplati se | ||
| Profesionalno | 10,000,000 | $29/Mo | Pretplati se | ||
| Poslovno | 40,000,000 | $79/Mo | Pretplati se | ||
| Skaliraj | 125,000,000 | $199/Mo | Pretplati se | ||
| Enterprise | Unlimited | $499/Mo | Contact Sales |
Kada pređeš granicu, primit ćeš 402 Payment Required odgovor do sljedećeg mjeseca ili nadogradite.
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