API- dokumentation
Integrer kraftfuld oversættelse til dine applikationer med vores enkle REST API.
Kom i gang
TranslateAPI giver en simpel REST interface til oversættelse af tekst mellem 180 + sprog. Alle API endpoints returnerer JSON svar.
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 → API- nøgler
- 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!"
Respons
{
"translated_text": "Hola, mundo!",
"source_language": "en",
"target_language": "es",
"translations": {
"es": "Hola, mundo!"
},
"character_count": 13,
"translation_time": 0.45
}
Godkendelse
Autentificer dine anmodninger ved hjælp af en API- nøgle. Du kan oprette API- taster fra din instrumentbræt.
Header Authentication (Anbefalet)
Authorization: Bearer ta_your_api_key_here
ApiKey Header
Authorization: ApiKey ta_your_api_key_here
Forespørgselsparameter
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
Oversæt tekst
Oversæt tekst til et enkelt målsprog.
POST https://api.translateapi.ai/api/v1/translate/
Anmodningsorgan
| Parameter | Type | Krævet | Varebeskrivelse |
|---|---|---|---|
text |
string | Ja | Tekst der skal oversættes (maks. 50.000 tegn) |
target_language |
string | Ja* | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Nej | Source language code. Default: "auto" (auto-detect) |
engine |
string | Nej | Translation engine: "auto" (default), "huggingface", or "madlad". See Translation Models. Oversættelsesmodeller. |
* Brug target_language (streng) for et enkelt sprog eller target_languages (array) for flere. Se Multi- Target- oversættelse.
Respons
{
"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- oversættelse
Oversætte tekst til flere sprog i en enkelt anmodning. Bruger det samme endpoint som enkelt oversættelse.
POST https://api.translateapi.ai/api/v1/translate/
Anmodningsorgan
{
"text": "Hello, world!",
"target_languages": ["es", "fr", "de", "ja"],
"source_language": "en"
}
Anvendelse target_languages (array) i stedet for target_language (streng) for flere mål.
Respons
{
"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
}
Batchoversættelse
Oversæt flere tekster på én gang med async behandling. Indsend en batch og meningsmåling for resultater.
POST https://api.translateapi.ai/api/v1/translate/batch/
Trin 1: Indsend 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"
}'
Svar (HTTP 202 accepteret)
{
"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/"
}
Trin 2: Poll for resultater
GET https://api.translateapi.ai/api/v1/jobs/{job_id}/
Polering Eksempel (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)
Respons (afsluttet)
{
"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 | Varebeskrivelse |
|---|---|
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
Oversæt flere tekster til flere sprog på én gang:
{
"texts": ["Hello", "Goodbye"],
"target_languages": ["es", "fr"],
"source_language": "en"
}
Afsluttede resultat_ 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
}
Anmodningsparametre
| Parameter | Type | Krævet | Varebeskrivelse |
|---|---|---|---|
texts |
array | Ja | Array af strenge til at oversætte |
target_language |
string | Ja* | Målsprogskode for ét sprog |
target_languages |
array | Ja* | Array af målsprog koder for flere sprog |
source_language |
string | Nej | Source language code. Default: "auto" |
* Giv enten target_language eller target_languages, ikke begge dele.
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.
Dokument Oversættelse
Oversætte hele dokumenter samtidig bevare formatering. Understøtter flere filformater.
POST https://api.translateapi.ai/api/v1/translate/document/
Anmodning (flerdelt/formular-data)
| Parameter | Type | Krævet | Varebeskrivelse |
|---|---|---|---|
file |
file | Ja | Dokumentet der skal oversættes (maks. 10MB) |
target_language |
string | Ja | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Nej | Source language code. Default: "auto" (auto-detect) |
Understøttede filtyper
Documents
.txt- Almindelige tekstfiler.docx- Orddokumenter.pdf- PDF-dokumenter (herunder scannede)
Data & Localization
.json- JSON- filer (oversætter strengværdier).xml- XML- filer.srt- Undertekstfiler.po/.pot- Gettext- oversættelsesfiler
Images (OCR)
.jpg/.jpeg- JPEG- billeder (OCR).png- PNG- billeder (OCR).tiff/.tif- TIFF- billeder (OCR).bmp- BMP- billeder (OCR).webp- WebP- billeder (OCR)
Eksempel (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"
Respons
{
"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}/
Kontroller status for et dokument oversættelse eller hente download URL.
Statusværdier
pending |
Fil uploadet, venter på at blive behandlet |
processing |
Igangværende oversættelse |
completed |
Oversættelse komplet, download tilgængelig |
failed |
Oversættelse mislykkedes (tjek fejl_ message) |
Understøttede sprog
Få listen over alle understøttede sprog.
GET https://api.translateapi.ai/api/v1/translate/languages/
Respons
{
"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/
Anmodningsorgan
| Parameter | Type | Varebeskrivelse |
|---|---|---|
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!"
}'
Respons
{
"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).
Oversættelsesmodeller
Vi bruger state-of-the-art open source oversættelse modeller, der kører på vores egen GPU infrastruktur. Alle modeller er kommercielt licenseret (Apache 2.0).
| Model | Sprog | Bedst for |
|---|---|---|
| Helsinki-NLP/opus-mt | 50+ sprogpar | Fælles sprog (EN, ES, FR, DE, IT, PT, RU, ZH, JA osv.) |
| Google MADLAD-400 | 400+ sprog | Sjældne sprog, omfattende dækning |
API vælger automatisk den bedste model for dit sprogpar. Du kan eventuelt angive en engine parameter:
| Motor | Varebeskrivelse |
|---|---|
"auto" |
Standard. Forsøger HuggingFace først, falder tilbage til MADLAD- 400 |
"huggingface" |
Force HuggingFace/MarianMT (hurtigste, 50+ sprog) |
"madlad" |
Tving MADLAD-400 (400+ sprog) |
Fejlhåndtering
API'en bruger standard HTTP-statuskoder til at angive succes eller fiasko.
| Kode | Varebeskrivelse |
|---|---|
| 200 | Succes |
| 202 | Accepted — Batch job queued successfully |
| 400 | Bad Request — Invalid parameters (missing text, unsupported language, etc.) |
| 401 | Uautoriseret - Ugyldig eller manglende API- nøgle |
| 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 Ikke tilgængelig - Oversættelse motor midlertidigt ned |
Fejlresponsformat
{
"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 | Tegn/måned | Batch API | Documents | Pris | |
|---|---|---|---|---|---|
| Fri | 250,000 | — | — | $0 | Tilmeld dig gratis |
| Starter | 2,500,000 | $9/m | Abonner | ||
| Pro | 10,000,000 | $29/m | Abonner | ||
| Forretninger | 40,000,000 | $79/m | Abonner | ||
| Skalér | 125,000,000 | $199/m | Abonner | ||
| Enterprise | Unlimited | $499/m | Contact Sales |
Når du overskrider din grænse, vil du modtage en 402 Payment Required svar indtil den næste måned, eller du opgraderer.
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