@ action
The TranslateAPI provides a simple REST interface for translating text between 180+ languages. All API endpoints return JSON responses.
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 → Maɓallan 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!"
Mawallafi
{
"translated_text": "Hola, mundo!",
"source_language": "en",
"target_language": "es",
"translations": {
"es": "Hola, mundo!"
},
"character_count": 13,
"translation_time": 0.45
}
QFileDialog
Ka tabbatar da bukatunka ta amfani da maɓallin API. Za ka iya ƙirƙirar maɓallan API daga cikinka Dashboard.
QFileDialog
Authorization: Bearer ta_your_api_key_here
ApiKey Header
Authorization: ApiKey ta_your_api_key_here
@ action
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
@ action
@ action
POST https://api.translateapi.ai/api/v1/translate/
QDialogButtonBox
| Parameters | @ action | QDialogButtonBox | Bayani |
|---|---|---|---|
text |
string | A' a | @ label: textbox |
target_language |
string | Na'am | Target language code (e.g., "es", "fr", "de") |
source_language |
string | QFileDialog | Source language code. Default: "auto" (auto-detect) |
engine |
string | QFileDialog | Translation engine: "auto" (default), "huggingface", or "madlad". See Translation Models. QFontDatabase. |
@ action target_language (harshe) ga harshe guda ko target_languages (array) for multiple. See QFontDatabase.
Mawallafi
{
"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.
QFontDatabase
@ action: inmenu
POST https://api.translateapi.ai/api/v1/translate/
QDialogButtonBox
{
"text": "Hello, world!",
"target_languages": ["es", "fr", "de", "ja"],
"source_language": "en"
}
@ action target_languages (array) a matsayin target_language (harshe) ga manyan fayiloli da yawa.
Mawallafi
{
"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
}
QPrintPreviewDialog
@ action
POST https://api.translateapi.ai/api/v1/translate/batch/
@ action
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"
}'
QDialogButtonBox
{
"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/"
}
QDialogButtonBox
GET https://api.translateapi.ai/api/v1/jobs/{job_id}/
QDialogButtonBox
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)
Mawallafi
{
"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 | Bayani |
|---|---|
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). |
@ item Spelling dictionary
@ action
{
"texts": ["Hello", "Goodbye"],
"target_languages": ["es", "fr"],
"source_language": "en"
}
An kammala sakamakon_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
}
Parameters na tambaya
| Parameters | @ action | QDialogButtonBox | Bayani |
|---|---|---|---|
texts |
array | A' a | Array na jigogi da za'a fassara |
target_language |
string | Na'am | Ƙididdigar harshe na manufa ga harshe guda |
target_languages |
array | Na'am | Array of target language codes for multiple languages |
source_language |
string | QFileDialog | Source language code. Default: "auto" |
@ info: status target_language ko target_languagesÃ'a, duka biyun.
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.
@ action
@ action
POST https://api.translateapi.ai/api/v1/translate/document/
Tambaya (multipart/form-data)
| Parameters | @ action | QDialogButtonBox | Bayani |
|---|---|---|---|
file |
file | A' a | Takardar da za'a fassara (maksimal 10MB) |
target_language |
string | A' a | Target language code (e.g., "es", "fr", "de") |
source_language |
string | QFileDialog | Source language code. Default: "auto" (auto-detect) |
Nau'in Fayil da Aka Goyi Bayansu
Documents
.txt- Fayil na rubutu mai sauƙi.docx- Takardun Word.pdf- Takardun PDF (ciki har da waɗanda aka yi gwaji)
Data & Localization
.json- Files JSON (translates string values).xml- Files XML.srt- Fayilolin sunaye na ƙarshe.po/.pot- @ action
Images (OCR)
.jpg/.jpeg- Zane-Zane.png- Zane-Zane.tiff/.tif- Zane-Zane.bmp- Zane-Zane.webp- Zane-Zane WebP (OCR)
Misali (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"
Mawallafi
{
"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}/
QDialogButtonBox
Kimar Hali
pending |
An shigar da fayil, ana jiran a aiwatar da shi |
processing |
@ info: status |
completed |
@ info: status |
failed |
QDialogButtonBox |
Yaren da ake goyon baya
Ka karɓi jerin dukkan harsuna da ake goyon baya.
GET https://api.translateapi.ai/api/v1/translate/languages/
Mawallafi
{
"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/
QDialogButtonBox
| Parameter | @ action | Bayani |
|---|---|---|
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!"
}'
Mawallafi
{
"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).
QFontDatabase
Mun yi amfani da tsarin fassara mai sauki mai sauki wanda ke aiki akan ginin GPU na kanmu. Dukkanin nau'ikan suna da lasisin kasuwanci (Apache 2.0).
| @ action | @ action | QPrintPreviewDialog |
|---|---|---|
| Helsinki-NLP/opus-mt | KCharselect unicode block name | Harsuna masu yawa (EN, ES, FR, DE, IT, PT, RU, ZH, JA, da dai sauransu) |
| Google MADLAD-400 | @ item Spelling dictionary | @ item Spelling dictionary |
The API automatically chooses the best model for your language pair. You can optionally specify an engine Paramita:
| Injin | Bayani |
|---|---|
"auto" |
Default. Trys HuggingFace first, falls back to MADLAD-400 |
"huggingface" |
Ka tilasta HuggingFace/MarianMT (mafi sauri, harsuna 50+) |
"madlad" |
Force MADLAD-400 (400+ harsuna) |
QSoftKeyManager
The API uses standard HTTP status codes to indicate success or failure.
| KCharselect unicode block name | Bayani |
|---|---|
| 200 | QDialogButtonBox |
| 202 | Accepted — Batch job queued successfully |
| 400 | Bad Request — Invalid parameters (missing text, unsupported language, etc.) |
| 401 | Ba'a yarda ba - Maɓallin API da ba'a yarda da shi ko kuma da aka rasa |
| 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 | QDialogButtonBox |
QFileDialog
{
"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:
| QPrintPreviewDialog | @ action | Batch API | Documents | QShortcut | |
|---|---|---|---|---|---|
| QDialogButtonBox | 250,000 | — | — | $0 | Yi rijista |
| @ action | 2,500,000 | $9/MB | @ action | ||
| QShortcut | 10,000,000 | $29/MB | @ action | ||
| QFontDatabase | 40,000,000 | $79/MB | @ action | ||
| @ action | 125,000,000 | $199/MB | @ action | ||
| Enterprise | Unlimited | $499/MB | Contact Sales |
Kuma idan ka ƙẽtare iyãkanka, zã ka sãmi wata azãba mai raɗaɗi. 402 Payment Required mai amsa har zuwa wata mai zuwa ko ka canza.
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