Dọkumenti

Integrate powerful translation into your applications with our simple REST API.

Bido

TranslateAPI na-enye REST interface dị mfe maka ịsụgharị ngwe n'etiti 180+ asụsụ. All API endpoints return JSON responses.

1. Get Your API Key

Kewapụta akaụntụ ọha na eze ma mepụta kii API gị site na dashes:

  1. Akaụntụ translateapi.ai/signup
  2. Gaa na Dashboard → Kii API
  3. Pịa "Kewapụta Kii API" ma debata kii gị

Kii API na-amalite na ta_ ékpé site ná akara héks 56.

Base URL: https://api.translateapi.ai/api/v1/
2. Mee arịrịọ mbụ gị

Wepụ YOUR_API_KEY na kii site na dashesbọchị gị:

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!"
Ndesịta ozi ahụ
{
    "translated_text": "Hola, mundo!",
    "source_language": "en",
    "target_language": "es",
    "translations": {
        "es": "Hola, mundo!"
    },
    "character_count": 13,
    "translation_time": 0.45
}

Nkwenye

Wepụta nkwenye maka arịrịọ gị site n'iji kii API. I nwere ike ịmepụta kii API site na gị Dashboard.

Ndesịta ozi ndị ahụ
Authorization: Bearer ta_your_api_key_here
Ndesịta ozi ndị ahụ
Authorization: ApiKey ta_your_api_key_here
Paramita
https://api.translateapi.ai/api/v1/translate/?api_key=ta_your_api_key_here
Chekwaa kììị̀ API gị n'ụzọ kwesịrị ekwesị! Enweghị ike igosipụta ha n'ime kọ́ọ̀dị̀ n'akụkụ onye ọrụ mọọbụ ebe nchekwa ndị mmadụ.

Gbanwee ngwe

Bagharịa ngwe ahụ n'asụsụ ọfụụ.

POST https://api.translateapi.ai/api/v1/translate/
Nhazi ahụ
Paramita Ụdị Achọrọ Ndesịta nkọwa
text string Ee ngwe a ga-atụgharị (maximum 50,000 characters)
target_language string Ya* Target language code (e.g., "es", "fr", "de")
source_language string Ọ dịghị Source language code. Default: "auto" (auto-detect)
engine string Ọ dịghị Ntụgharị engine: "auto" (dìfọ́ọ̀ltụ̀), "huggingface", mọọbụ "madlad". Gụọ Ntụgharị Models. Ụdị ntụgharị.

* Jiri target_language ( string) maka asụsụ ọbụla mọọbụ target_languages (arịị) maka ọtụtụ. Gụọ Nsụgharị dị iche iche.

Ndesịta ozi ahụ
{
    "translated_text": "Hola, mundo!",
    "source_language": "en",
    "target_language": "es",
    "translations": {
        "es": "Hola, mundo!"
    },
    "character_count": 13,
    "translation_time": 0.45
}
Nchọpụta nkeonwe: Wepụ source_language ma ọ bụ hazie ya na "auto" iji chọpụta asụsụ isi n'onwe ya. A na-eziga asụsụ ahụ chọpụtara n'ime source_language Nhazi

Nsụgharị dị iche iche

Gbanwee ngwe n'asụsụ ndị dị iche iche n'ime ajụjụ ọfụụ. Na-eji ngwụcha nke ọfụụ dịka ntụgharị ọfụụ.

POST https://api.translateapi.ai/api/v1/translate/
Nhazi ahụ
{
    "text": "Hello, world!",
    "target_languages": ["es", "fr", "de", "ja"],
    "source_language": "en"
}

Jiri target_languages (arịị) ebe ọ bụ nke target_language (ọnụọgụgụ) maka ihenhọrọ ndị dị iche iche.

Ndesịta ozi ahụ
{
    "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
}
Ndụmọdụ: I nwere ike ịsụgharị ruo asụsụ 50 n'ime ajụjụ otu.

Báà

Gbanwee ngwe ndị dị iche iche n'otu oge na usoroiheomume async. Tinye batch na pọọlụ maka nsonaazụ.

Òtù: Max 100 ngwe kwa batch, max 300 ihenhọrọ zuru ezu (ngwe × asụsụ n'ihe nlereanya). Ọrụ oge eruola 45 nkeji mgbe usoroiheomume na-amalite.
Nhazi Asụsụ ndị a na-ejikarị (ES, FR, DE) na-eji móòdù nke dị n'ụdị (~0.1s/text). Asụsụ ndị na-ejighị ya na-eji móodù nke na-eji asụsụ ndị ọzọ (~1-3s/text).
POST https://api.translateapi.ai/api/v1/translate/batch/
Nzọụkwụ 1: Tinye Báà
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"
}'
Ndesịta nzaghachi (HTTP 202 Ekwenyere)
{
    "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/"
}
Nzọụkwụ 2: Kpọọ maka nsonaazụ
GET https://api.translateapi.ai/api/v1/jobs/{job_id}/
Egwuregwu Polling (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)
Ndesịta ozi ahụ
{
    "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
Ụlọọrụ Ndesịta nkọwa
status pending (n'ọ̀tụ̀tụ̀, na-atụ anya maka GPU ọrụ), processing (na-asụgharị n'ụzọ nkịtị), completed, failed
processed_texts Ọnụọgụgụ nke ntụgharị asụsụ nkeonwe mechara ruo ugbua. Nhazigharị n'oge ọfụụ dịka ngwe ọbụla a na-asụgharị.
progress_percentage Percentile nke ngwụcha (0-100). E jiri ya tụnyere processed_texts / total_texts.
queue_position Nhazi gị n'ime wọ́kspéèsì mgbe ọnọdụ ahụ bụ "na-echere" (1 = na-esonụ). Null mgbe a na-ejikwa ya mọọbụ mechara ya. Jiri nke a maka ịtụle oge ịtụle ma gosi ọnọdụ wọ́kspéèsì n'ime ndị ọrụ gị.
processing_time Oge usoroiheomume zuru ezu n'ime sekọnd (n'efu mgbe e mechara).
Multi-Language Batch

Gbanwee ngwe ndị dị iche iche na asụsụ ndị dị iche iche n'otu oge:

{
    "texts": ["Hello", "Goodbye"],
    "target_languages": ["es", "fr"],
    "source_language": "en"
}
Ndesịta ihenhọrọ_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
}
Paramita ndị ahụ
Paramita Ụdị Achọrọ Ndesịta nkọwa
texts array Ee Arịị nke ụda ndị a ga-atụgharị
target_language string Ya* Target language code for single language
target_languages array Ya* Arịị nke kóòdù njirimara asụsụ maka asụsụ ndị ọzọ
source_language string Ọ dịghị Source language code. Default: "auto"

* Wepụta ma ọ bụ target_language ma ọ bụ target_languages, abụghị ha abụọ.

Best Practices maka nnukwu Workloads
  • Ziga 1 target asụsụ kwa batch arịrịọ. Nke a na-echekwa batch ọbụla n'ụzọ nkịtị nakwa na-eme ka mmepe dị mfe ịtụle.
  • Kwụsị batchs na 50-100 ngwe. Batchs nke obere ga-agwụ n'ụzọ nkịtị ma nye gị mmelite mmepe nke na-emekarị.
  • Bipụta ọtụtụ ọrụ batch dị ka ịchọrọ - GPU klastọ́ọ̀tụ̀ụ̀ anyị na-emegharị onwe ya ka ọ na-elekọta mkpa. Ọrụ ndị ahụ na-arụ ọrụ n'otu oge n'ime ihenhọrọ ndị dị iche iche.
  • N'ụbọchị oge eruola, pụọgharịa ọrụ_id nke ọbụla n'ebe ọbụla n'ihi na ịnabata batch ọfụụ. Ọrụ mbụ ahụ nwere ike ka na-arụ ọrụ na GPU.
  • Pọòlụ̀ mgbe ọbụla 3-5 sekọnd. Pọòlụ̀ na-aga n'ihu na-emeghị ka usoroiheomume na-aga n'ihu.

Dọkumenti ọfụụ

Gbanwee dọkumenti niile mgbe ị na-echekwa nhazi. Na-akwado faịlụ ụkpụrụedemede dị iche iche.

POST https://api.translateapi.ai/api/v1/translate/document/
Ndesịta arịrịọ (multipart/form-data)
Paramita Ụdị Achọrọ Ndesịta nkọwa
file file Ee Dọkumenti nke a ga-asụgharị (max 10MB)
target_language string Ee Target language code (e.g., "es", "fr", "de")
source_language string Ọ dịghị Source language code. Default: "auto" (auto-detect)
Ụdị faịlụ ndị ahụ e nyere nkwado ha
Dọkumenti
  • .txt - Faịlụ ngwe nkeonwe
  • .docx - Dọkumenti Word
  • .pdf - Dọkumenti PDF (na-agụnye emeredịkachọrọ)
Ndesịta ozi na mpaghara ebe
  • .json - Faịlụ JSON (na-atụgharị valiu string)
  • .xml - Faịlụ XML
  • .srt - Faịlụ isiokwu ndị ahụ
  • .po / .pot - Faịlụ nsụgharị Gettext
Inyogo
  • .jpg / .jpeg - Inyogo JPEG (OCR)
  • .png - Inyogo PNG (OCR)
  • .tiff / .tif - Inyogo TIFF (OCR)
  • .bmp - Inyogo BMP (OCR)
  • .webp - Inyogo WebP (OCR)
Egwuregwu (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"
Ndesịta ozi ahụ
{
    "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"
}
Nnyemaka OCR: Faịlụ inyogo nakwa PDFs emeredịkachọrọ na-arụ ọrụ na optical character recognition (OCR) iji wepụta ngwe tupú ịsụgharị. Maka nsonaazụ kasị mma, jiri inyogo dị ọcha, nke nwere ogo dị elu.
GET https://api.translateapi.ai/api/v1/translate/document/{id}/

Chọọ ọnọdụ nke nsụgharị dọkumenti mọọbụ weghachi mbubata URL.

Valụàị̀ ndị ahụ
pending Faịlụ ahụ ebudatara, na-echere ka a hazie ya
processing Ntụgharị
completed Ntụgharị zuru ezu, mbubata dị
failed Ndehie ntụgharị (chekwaa ozi_ezighị ezi)

Asụsụ ndị e nyere nkwado

Wepụta ndesịta nke asụsụ ndị e nyere nkwado ha niile.

GET https://api.translateapi.ai/api/v1/translate/languages/
Ndesịta ozi ahụ
{
    "count": 186,
    "results": [
        {"iso": "en", "name": "English", "en_label": "English"},
        {"iso": "es", "name": "Español", "en_label": "Spanish"},
        {"iso": "fr", "name": "Français", "en_label": "French"},
        ...
    ]
}

Gosi asụsụ 186 niile

Ụdị ntụgharị

Anyị na-eji state-of-the-art open source translation models na-arụ ọrụ na anyị GPU infrastructure. All models are commercially licensed (Apache 2.0).

Móòdù Asụsụ Nke kacha mma maka
Helsinki-NLP/opus-mt 50+ asụsụ abụọ Asụsụ ndị a ma ama (EN, ES, FR, DE, IT, PT, RU, ZH, JA, wdg.)
Google MADLAD-400 400+ asụsụ Asụsụ dị iche iche, nkpuchi zuru ezu

API na-ahọrọ n'onwe ya móòdù kacha mma maka asụsụ abụọ gị. I nwere ike ịkọwapụta n'ụzọ nkịtị engine Paramita:

Ènjini Ndesịta nkọwa
"auto" Dìfọ́ọ̀ltụ̀. Na-achọ HuggingFace mbụ, na-alaghachi na MADLAD-400
"huggingface" Bubata HuggingFace/MarianMT (n'ụzọ nkịtị, 50+ asụsụ)
"madlad" Force MADLAD-400 (400+ asụsụ)

Nhazi ndehie

API ahụ na-eji ụkpụrụ nke ọnọdụ HTTP iji gosi mmeri mọọbụ mmehie.

Ọdịdị Ndesịta nkọwa
200 Ọrụ
202 Atụbatala — Báà ọrụ ahụ etinyela n'ogbe n'ụzọ ziri ezi
400 Ndesịta ozi ahụ na-adịghị mma - Paramita ndị na-adịghị mma (nkebi na-efu, asụsụ na-enweghị nkwado, wdg)
401 Enweghị ikike - kii API na-enweghị isi mọọbụ nke ewepụtụla
402 Nkwụghachi chọrọ — Akwụsịla akara kredit. Nkwalite usoroiheomume gị mọọbụ zụta n'elu.
403 Enweghị ike — kii API enweghị ihenhọrọ nke mkpa ma ọ bụ IP enweghị na ndesịta ọbara
503 Ọrụ Agaghị enwe ike - ntụgharị engine n'oge ụfọdụ akwụsịla
Nhazi nzaghachi ndehie
{
    "error": "insufficient_credits",
    "credits_remaining": 0
}

Nhazi

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:

Nhazi Ụdị/Ụbọchị Báà Dọkumenti Nri
Ọfụụ 250,000 $0 Akaụntụ
Òtù 2,500,000 $9/ọnwa Bipụta
Pro 10,000,000 $29/ọnwa Bipụta
Ụlọọrụ 40,000,000 $79/ọnwa Bipụta
Sịlọn 125,000,000 $199/ọnwa Bipụta
Enterprise Unlimited $499/ọnwa Contact Sales

Mgbe ị na-agafe ngwụcha gị, ị ga-enweta a 402 Payment Required nwughachi ruo mgbe ọnwa na-esonụ ma ọ bụ ịzụlite.

Auto-Scaling Cloud Infrastructure

TranslateAPI na-arụ ọrụ na NVIDIA A100 GPU nke ejiri n'aka na-ehazi n'aka. Mgbe mkpa na-arịwanye elu, GPU ndị ọzọ na-arụ ọrụ n'ime minit iji hụ na oge nzaghachi dị ngwa. Ajụjụ niile a na-eziga n'ọnụ ụzọ na-ehazi - zigara ọtụtụ narị ajụjụ na-ehazi n'otu oge na ha ga-ejikwa ha niile. Ntụgharị asụsụ oge-ọnụ na-enweta n'ihu, ọrụ batch na-arụ ọrụ n'okpuru.

Ịchọrọ ego ndị ọzọ?

N'imechara akara n'etiti ọnwa? Zụlite otu oge n'ime kredit na-agbakwunye na-enweghị ịgbanwe usoroiheomume gị. Gosi pake ndị ahụ

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