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:

  1. Sign up at translateapi.ai/signup
  2. Go to Dashboard → API- nøgler
  3. Click "Create API Key" and copy your key

API keys start with ta_ followed by 56 hex characters.

Basis- URL: 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
Hold dine API nøgler sikker! Må ikke udsætte dem i klient-side kode eller offentlige arkiver.

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
}
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.

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
}
Tip: Du kan oversætte til op til 50 sprog i en enkelt anmodning.

Batchoversættelse

Oversæt flere tekster på én gang med async behandling. Indsend en batch og meningsmåling for resultater.

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/
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"
}
OCR- understøttelse: Billedfiler og scannede PDF-filer behandles med optisk tegngenkendelse (OCR) for at udtrække tekst før oversættelse. For de bedste resultater, brug klare billeder med høj opløsning.
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"},
        ...
    ]
}

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/
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

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