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:

  1. Sign up at translateapi.ai/signup
  2. Go to Дастгоҳ панели → API калитлари
  3. Click "Create API Key" and copy your key

API keys start with ta_ followed by 56 hex characters.

Асосий 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!"
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
API калитларингизни хавфсиз сақланг! Уларни клиент кодида ёки жамоат сақловхоналарида ошкор қилманг.

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
}
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.

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
}
Тури: Сиз битта сўровда 50 га яқин тилга таржима қила оласиз.

Таржималар тўплами

Бир вақтда бир неча матнларни асинхрон ишлаш билан таржима қилинг. Барча матнларни юборинг ва натижалар учун сўров ўтказинг.

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/
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"
}
OCR қўллаб-қувватлаши: Расм файллари ва скан қилинган PDFлар таржимадан олдин матнни ажратиш учун оптик белгиларни таниб олиш (OCR) билан ишланади. Энг яхши натижалар учун аниқ, юқори аниқликдаги расмлардан фойдаланинг.
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"},
        ...
    ]
}

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/
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

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