Ҳужжатлаштириш
Бизнинг оддий REST API билан дастурларингизга кучли таржимани интеграция қилинг.
Ишни бошлаш
TranslateAPI матнни 180 дан ортиқ тилларга таржима қилиш учун оддий REST интерфейсини тақдим этади. Барча API охирги нуқталари JSON жавобларини қайтаради.
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 Дастгоҳ панели → API калитлари
- 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!"
Жавоб
{
"translated_text": "Hola, mundo!",
"source_language": "en",
"target_language": "es",
"translations": {
"es": "Hola, mundo!"
},
"character_count": 13,
"translation_time": 0.45
}
Аутентификация
API калитларидан фойдаланиб талабларингизни тасдиқланг. Сиз ўзингизнинг API калитларини яратишингиз мумкин бошқарув панели.
Гапбоши аутентификацияси (рекомендация қилинади)
Authorization: Bearer ta_your_api_key_here
ApiKey Header
Authorization: ApiKey ta_your_api_key_here
Сўров параметри
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
Матнни таржима қилиш
Матнни битта мақсад тилига таржима қилиш.
POST https://api.translateapi.ai/api/v1/translate/
Сўров матни
| Параметрлар | Типи | Кўрсатилган | Тасвирлаш |
|---|---|---|---|
text |
string | Ҳа | Таржима қилинадиган матн (максимум 50 000 белги) |
target_language |
string | Ҳа* | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Йўқ | Source language code. Default: "auto" (auto-detect) |
engine |
string | Йўқ | Translation engine: "auto" (default), "huggingface", or "madlad". See Translation Models. Таржима моделлари. |
* Фойдаланилган target_language (string) битта тил ёки target_languages Кўплик учун (мавжуд) кўринг Кўп мақсадли таржима.
Жавоб
{
"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.
Кўп мақсадли таржима
Матнни бир талабда бир нечта тилларга таржима қилиш. Бир марталик таржима учун бир хил якуний нуқтадан фойдаланади.
POST https://api.translateapi.ai/api/v1/translate/
Сўров матни
{
"text": "Hello, world!",
"target_languages": ["es", "fr", "de", "ja"],
"source_language": "en"
}
Ишлатиш target_languages (масштаб) ўрнига target_language (string) кўплаб мақсадлар учун.
Жавоб
{
"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
}
Таржималар тўплами
Бир вақтда бир неча матнларни асинхрон ишлаш билан таржима қилинг. Барча матнларни юборинг ва натижалар учун сўров ўтказинг.
POST https://api.translateapi.ai/api/v1/translate/batch/
1-қадам: тўпламни юбориш
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"
}'
Жавоб (HTTP 202 қабул қилинди)
{
"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/"
}
2-босқич: Натижалар учун сўров
GET https://api.translateapi.ai/api/v1/jobs/{job_id}/
Сўров намунаси (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)
Жавоб (битган)
{
"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 | Тасвирлаш |
|---|---|
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). |
Кўп тилли пакет
Бир вақтда бир неча матнларни бир неча тилларга таржима қилиш:
{
"texts": ["Hello", "Goodbye"],
"target_languages": ["es", "fr"],
"source_language": "en"
}
Тугатилган натижа_маълумотлари
{
"translations": [
{"es": "Hola", "fr": "Bonjour"},
{"es": "Adiós", "fr": "Au revoir"}
],
"source_language": "en",
"target_languages": ["es", "fr"],
"character_count": 24,
"processing_time": 2.45
}
Сўров параметрлари
| Параметрлар | Типи | Кўрсатилган | Тасвирлаш |
|---|---|---|---|
texts |
array | Ҳа | Таржима қилинадиган сатрлар мажмуаси |
target_language |
string | Ҳа* | Бир тил учун мақсад тил коди |
target_languages |
array | Ҳа* | Кўп тиллар учун мақсад тил кодлари мажмуаси |
source_language |
string | Йўқ | Source language code. Default: "auto" |
* Ёки кўрсатинг target_language ёки target_languagesИккаласи ҳам эмас.
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.
Ҳужжат таржимаси
Форматлашни сақлаган ҳолда бутун ҳужжатни таржима қилиш. Кўп файл форматларини қўллаб-қувватлайди.
POST https://api.translateapi.ai/api/v1/translate/document/
Талаб (кўп қисмли/форм-маълумотлар)
| Параметрлар | Типи | Кўрсатилган | Тасвирлаш |
|---|---|---|---|
file |
file | Ҳа | Таржима қилинадиган ҳужжат (max 10MB) |
target_language |
string | Ҳа | Target language code (e.g., "es", "fr", "de") |
source_language |
string | Йўқ | Source language code. Default: "auto" (auto-detect) |
Қопланган файл турлари
Documents
.txt- Оддий матн файллари.docx- Word ҳужжатлари.pdf- PDF ҳужжатлари (скан қилингани ҳам киради)
Data & Localization
.json- JSON файллари (строка қийматларини таржима қилади).xml- XML файллари.srt- Субтитр файллари.po/.pot- Gettext таржима файллари
Images (OCR)
.jpg/.jpeg- JPEG суратлари (OCR).png- PNG тасвирлари (OCR).tiff/.tif- TIFF расмлари (OCR).bmp- BMP расмлари (OCR).webp- WebP расмлари (OCR)
Мисол (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"
Жавоб
{
"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}/
Ҳужжат таржимасининг ҳолатини текшириш ёки юклаб олиш URL'ини олиш.
Ҳолат қийматлари
pending |
Файл юклаб олинди, ишлов беришни кутмоқда |
processing |
Таржима амалга оширилмоқда |
completed |
Таржима тугатилди, юклаб олиш мумкин |
failed |
Таржима муваффақиятсиз якунланди (check error_message) |
Ёрдамчи тиллар
Ҳамма қўлланиладиган тиллар рўйхатини олиш.
GET https://api.translateapi.ai/api/v1/translate/languages/
Жавоб
{
"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/
Сўров матни
| Parameter | Типи | Тасвирлаш |
|---|---|---|
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!"
}'
Жавоб
{
"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).
Таржима моделлари
Биз ўз GPU инфратузилмаси устида ишлайдиган энг янги очиқ манбали таржима моделларини қўллаймиз. Барча моделлар савдо лицензиясига эга (Apache 2.0).
| Модель | Тиллар | Энг яхшиси |
|---|---|---|
| Helsinki-NLP/opus-mt | 50+ тил жуфтлари | Кўп учрайдиган тиллар (EN, ES, FR, DE, IT, PT, RU, ZH, JA, ва ҳоказо) |
| Google MADLAD-400 | 400+ тиллар | Намунали тиллар, кенг қамровли қамров |
API сизнинг тил жуфтлигингиз учун энг яхши моделни автоматик равишда танлайди. engine параметр:
| Двигатель | Тасвирлаш |
|---|---|
"auto" |
Дефолт. Аввал HuggingFace'ни синаш, кейин MADLAD-400'га қайтиш |
"huggingface" |
HuggingFace/MarianMT'ни мажбурлаш (энг тезкор, 50+ тил) |
"madlad" |
Force MADLAD-400 (400+ тиллар) |
Хатоларни бошқариш
API муваффақият ёки муваффақиятсизликни кўрсатиш учун стандарт HTTP ҳолати кодларини фойдаланади.
| Код | Тасвирлаш |
|---|---|
| 200 | Ютуқ |
| 202 | Accepted — Batch job queued successfully |
| 400 | Bad Request — Invalid parameters (missing text, unsupported language, etc.) |
| 401 | Ҳуқуқсиз - API калити йўқ ёки нотўғри |
| 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 | Хизмат мавжуд эмас - таржима двигатели вақтинча тўхтатилган |
Хато жавоби формати
{
"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:
| Схема | Ҳарфлар/ой | Batch API | Documents | Нарх | |
|---|---|---|---|---|---|
| Озод | 250,000 | — | — | $0 | Бепул рўйхатдан ўтиш |
| Ишлаб чиқарувчи | 2,500,000 | $9/МБ | Аъзо бўлиш | ||
| Про | 10,000,000 | $29/МБ | Аъзо бўлиш | ||
| Иш | 40,000,000 | $79/МБ | Аъзо бўлиш | ||
| Масштаблаш | 125,000,000 | $199/МБ | Аъзо бўлиш | ||
| Enterprise | Unlimited | $499/МБ | Contact Sales |
Агар чегарангиздан ошиб кетсангиз, аламли азобга дучор бўласиз. 402 Payment Required Кейинги ойгача ёки янгилашингизгача жавоб бермайди.
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