API dokumentacija
Integriraj moćan prevod u svoje aplikacije sa našim jednostavnim REST API.
Kako početi
TranslateAPI pruža jednostavno REST sučelje za prevođenje teksta između 180+ jezika. Sve API krajnje tačke vraćaju 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 Nadzorna ploča → API ključevi
- 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
}
Autentifikacija
Autentificirajte svoje zahtjeve koristeći API ključ. API ključeve možete kreirati sa svog računara. kontrolna ploča.
Autorizacija zaglavlja (preporučeno)
Authorization: Bearer ta_your_api_key_here
ApiKey Header
Authorization: ApiKey ta_your_api_key_here
Parametar upita
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
Prevedi tekst
Prevodi tekst na jedan ciljni jezik.
POST https://api.translateapi.ai/api/v1/translate/
Tijelo zahtjeva
| Parametar | Tip | Obvezno | Opis |
|---|---|---|---|
text |
string | Da. | Tekst za prevođenje (maks. 50.000 znakova) |
target_language |
string | 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 prevoda. |
* Upotreba target_language (string) za jedan jezik ili target_languages (array) for multiple. See Multi-Target Translation.
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.
Multi-Target Translation
Prevodi tekst na više jezika u jednom zahtjevu. Koristi istu krajnju tačku kao i jedan prijevod.
POST https://api.translateapi.ai/api/v1/translate/
Tijelo zahtjeva
{
"text": "Hello, world!",
"target_languages": ["es", "fr", "de", "ja"],
"source_language": "en"
}
Koristi target_languages (array) umjesto target_language (string) za više ciljeva.
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
}
Prevodi
Prevodite više tekstova odjednom uz asinkroniziranu obradu. Pošaljite paket i upišite rezultate.
POST https://api.translateapi.ai/api/v1/translate/batch/
Korak 1: Pošalji paket
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 Accepted)
{
"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: Anketa za rezultate
GET https://api.translateapi.ai/api/v1/jobs/{job_id}/
Primjeri poliranja (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 (dovršeno)
{
"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). |
Multi-language Batch
Prevedi više tekstova na više jezika odjednom:
{
"texts": ["Hello", "Goodbye"],
"target_languages": ["es", "fr"],
"source_language": "en"
}
Završeni rezultat_podaci
{
"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 zahtjeva
| Parametar | Tip | Obvezno | Opis |
|---|---|---|---|
texts |
array | Da. | Array of strings to translate |
target_language |
string | Da* | Ciljni kod jezika za jedan jezik |
target_languages |
array | Da* | Array of target language codes for multiple languages |
source_language |
string | Ne. | Source language code. Default: "auto" |
* Navedite bilo target_language ili target_languagesNe 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.
Prevođenje dokumenata
Prevodi cijele dokumente uz očuvanje formatiranja. Podržava više formata datoteka.
POST https://api.translateapi.ai/api/v1/translate/document/
Zahtjev (multipart/form-data)
| Parametar | Tip | Obvezno | Opis |
|---|---|---|---|
file |
file | Da. | Dokument za prevođenje (max 10MB) |
target_language |
string | Da. | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Ne. | Source language code. Default: "auto" (auto-detect) |
Podržane vrste datoteka
Documents
.txt- Obične tekstne datoteke.docx- Word dokumenti.pdf- PDF dokumenti (uključujući skenirane)
Data & Localization
.json- JSON datoteke (prevodi nizove vrijednosti).xml- XML datoteke.srt- Datoteke sa podnaslovima.po/.pot- Gettext datoteke za prevođenje
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}/
Provjeri status prijevoda dokumenta ili dohvati URL za preuzimanje.
Statusne vrijednosti
pending |
Datoteka je učitana, čeka na obradu |
processing |
Prevođenje je u toku |
completed |
Prevođenje završeno, preuzimanje dostupno |
failed |
Prijevod nije uspio (provjeri poruku o grešci) |
Podržani jezici
Dohvati listu 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/
Tijelo zahtjeva
| Parameter | Tip | 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 prevoda
Koristimo najmodernije modele prevoda otvorenog koda koji rade na našoj vlastitoj GPU infrastrukturi. Svi modeli su komercijalno licencirani (Apache 2.0).
| Model | Jezici | Najbolje za |
|---|---|---|
| Helsinki-NLP/opus-mt | 50+ language pairs | Uobičajeni 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 jezički par. Možete opcionalno navesti engine Parametar:
| Motor | Opis |
|---|---|
"auto" |
Uobičajeno, prvo proba HuggingFace, pa se vrati na MADLAD-400. |
"huggingface" |
Force HuggingFace/MarianMT (najbrži, 50+ jezika) |
"madlad" |
Force MADLAD-400 (400+ languages) |
Rukovođenje greškama
API koristi standardne HTTP status kodove za označavanje uspjeha ili neuspjeha.
| Kod | Opis |
|---|---|
| 200 | Uspjeh |
| 202 | Accepted — Batch job queued successfully |
| 400 | Bad Request — Invalid parameters (missing text, unsupported language, etc.) |
| 401 | Neovlašteno - Nevažeći ili nedostajući 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 | Service Unavailable - Translation engine temporarily down |
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 | Znakova/Mjesec | Batch API | Documents | Cijena | |
|---|---|---|---|---|---|
| Slobodan | 250,000 | — | — | $0 | Prijavite se besplatno |
| Starter | 2,500,000 | $9/mj | Pretplati se | ||
| Pro | 10,000,000 | $29/mj | Pretplati se | ||
| Posao | 40,000,000 | $79/mj | Pretplati se | ||
| Skaliraj | 125,000,000 | $199/mj | Pretplati se | ||
| Enterprise | Unlimited | $499/mj | Contact Sales |
Kad pređeš svoj limit, dobit ćeš 402 Payment Required Odgovor do sljedećeg mjeseca ili nadogradnja.
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