Document Translation API
Translate supported document files asynchronously using your API key.
Workflow
- Upload a document using
POST /v1/translation/document-translation/api. - Save the returned
translationId. - Poll status using
GET /v1/translation/document-translation-status/{translationId}. - When status is completed, use
data.documentUrlto download the translated file.
1) Upload Document
Endpoint
POST https://api.gpttranslator.co/v1/translation/document-translation/api
Authentication
x-api-key: YOUR_API_KEY
Content Type
Use multipart/form-data and send file field as file.
Form Fields
Required:
filefilesourceLangstringtargetLangstringmodelstring
Optional:
domainstringwritingStylestringtonestringcustomPromptstring
Language codes are listed in Supported Languages. Supported models are listed in Supported Models. Supported file types are listed in Supported Document Types.
Validation Rules
sourceLang,targetLang: Must match^[a-zA-Z]+(-[a-zA-Z]+)?$, min 2 chars, max 10 chars.model: Must be one of the values in Supported Models.file: Must be one of the extensions in Supported Document Types.
cURL Example
curl --location 'https://api.gpttranslator.co/v1/translation/document-translation/api' \
--header 'x-api-key: YOUR_API_KEY' \
--form 'file=@"/absolute/path/sample.docx"' \
--form 'sourceLang="en"' \
--form 'targetLang="fr"' \
--form 'model="gpt-4.1-mini-2025-04-14"' \
--form 'tone="professional"'
JavaScript Example
const apiKey = "YOUR_API_KEY";
const fileInput = document.querySelector("#fileInput");
const formData = new FormData();
formData.append("file", fileInput.files[0]);
formData.append("sourceLang", "en");
formData.append("targetLang", "fr");
formData.append("model", "gpt-4.1-mini-2025-04-14");
formData.append("tone", "professional");
const uploadRes = await fetch(
"https://api.gpttranslator.co/v1/translation/document-translation/api",
{
method: "POST",
headers: {
"x-api-key": apiKey,
},
body: formData,
},
);
const uploadData = await uploadRes.json();
const translationId = uploadData?.data?.translationId;
if (!translationId) {
console.error("Upload failed:", uploadData);
}
Python Example
import requests
api_key = "YOUR_API_KEY"
url = "https://api.gpttranslator.co/v1/translation/document-translation/api"
headers = {
"x-api-key": api_key
}
data = {
"sourceLang": "en",
"targetLang": "fr",
"model": "gpt-4.1-mini-2025-04-14",
"tone": "professional"
}
with open("/absolute/path/sample.docx", "rb") as f:
files = {
"file": ("sample.docx", f)
}
response = requests.post(url, headers=headers, data=data, files=files)
print(response.status_code)
print(response.json())
Success Response 201
{
"message": "Document translation added successfully",
"data": {
"translationId": "12345"
},
"error": null,
"statusCode": 201
}
Response Types
Request validation error (400) from middleware:
{
"error": "Invalid model type. Please enter a valid model type e.g. ..."
}
No file uploaded (400):
{
"error": "No file uploaded. Please upload a file for translation.",
"statusCode": 400,
"data": null,
"message": "No file uploaded. Please upload a file for translation."
}
Invalid file type (400):
{
"error": "Invalid file type. Please upload one of: docx, xlsx, pdf, pptx, srt, vtt, xml, json, yaml, yml, csv, txt, md, html, eml.",
"statusCode": 400,
"data": null,
"message": "Invalid file type. Please upload one of: docx, xlsx, pdf, pptx, srt, vtt, xml, json, yaml, yml, csv, txt, md, html, eml."
}
Invalid API key header (401):
{
"message": "Invalid api key",
"error": "Invalid api key",
"statusCode": 401,
"data": null
}
Invalid API key/user/org setup (400):
{
"message": "Invalid api key",
"error": "Invalid api key",
"statusCode": 400,
"data": null
}
{
"message": "User not found or user is not active",
"error": "User not found or user is not active",
"statusCode": 400,
"data": null
}
{
"message": "Organization Id not found for the user",
"error": "Organization Id not found for the user",
"statusCode": 400,
"data": null
}
Server error (500):
{
"error": "Internal server error",
"message": "An error occurred while processing the document translation request. Please try again later.",
"data": null,
"statusCode": 500
}
2) Check Translation Status
Endpoint
GET https://api.gpttranslator.co/v1/translation/document-translation-status/{translationId}
Authentication
x-api-key: YOUR_API_KEY
cURL Example
curl --location 'https://api.gpttranslator.co/v1/translation/document-translation-status/12345' \
--header 'x-api-key: YOUR_API_KEY'
JavaScript Example
const apiKey = "YOUR_API_KEY";
const translationId = "12345";
const statusRes = await fetch(
`https://api.gpttranslator.co/v1/translation/document-translation-status/${translationId}`,
{
headers: {
"x-api-key": apiKey,
},
},
);
const statusData = await statusRes.json();
console.log(statusData);
Python Example
import requests
api_key = "YOUR_API_KEY"
translation_id = "12345"
url = f"https://api.gpttranslator.co/v1/translation/document-translation-status/{translation_id}"
response = requests.get(url, headers={"x-api-key": api_key})
print(response.status_code)
print(response.json())
Response Format
{
"message": "Translation status fetched successfully",
"translationStatus": "completed",
"data": {
"documentUrl": "https://api.gpttranslator.co/v1/translation/download-document/65f0d3f6f0a1c91234567890"
},
"error": null,
"statusCode": 200
}
Status Values
waiting: Job is queued.active: Translation is in progress.completed: Translation finished anddata.documentUrlis available.failed: Translation failed. Checkerror.
Response Types
Queue id missing (400):
{
"error": "Queue ID is required",
"message": "Queue ID is required to fetch translation status",
"data": null,
"statusCode": 400
}
Invalid API key header (401):
{
"message": "Invalid api key",
"error": "Invalid api key",
"statusCode": 401,
"data": null
}
Invalid API key/user/org setup (400):
{
"message": "Invalid api key",
"error": "Invalid api key",
"statusCode": 400,
"data": null
}
Job not found (404):
{
"error": "Translation job not found",
"message": "The requested translation job does not exist.",
"data": null,
"statusCode": 404
}
Unauthorized (401) if user context is missing:
{
"error": "Unauthorized",
"message": "You are not authorized to access this resource.",
"data": null,
"statusCode": 401
}
Unauthorized queue access (401):
{
"error": "Unauthorized access to translation status",
"message": "You do not have permission to access the status of this translation job.",
"data": null,
"statusCode": 401
}
Business rule failure surfaced by queue result (402 example):
{
"message": "Translation status fetched successfully",
"translationStatus": "failed",
"data": null,
"error": "only subscribed users are allowed to use this model",
"statusCode": 402
}
Server error (500):
{
"error": "Internal server error",
"message": "An error occurred while fetching the translation status. Please try again later.",
"data": null,
"statusCode": 500
}
3) Download Translated Document
When status is completed, call the documentUrl from status response.
Endpoint
GET https://api.gpttranslator.co/v1/translation/download-document/{translationId}
Optional query:
fileType=translated(default)fileType=source
cURL Example
curl --location 'https://api.gpttranslator.co/v1/translation/download-document/65f0d3f6f0a1c91234567890' \
--header 'x-api-key: YOUR_API_KEY' \
--output translated-file
JavaScript Example
const apiKey = "YOUR_API_KEY";
const translationId = "65f0d3f6f0a1c91234567890";
const downloadRes = await fetch(
`https://api.gpttranslator.co/v1/translation/download-document/${translationId}`,
{
headers: {
"x-api-key": apiKey,
},
},
);
if (!downloadRes.ok) {
const err = await downloadRes.json();
console.error("Download failed:", err);
} else {
const blob = await downloadRes.blob();
const url = URL.createObjectURL(blob);
const a = document.createElement("a");
a.href = url;
a.download = "translated-document";
a.click();
URL.revokeObjectURL(url);
}
Python Example
import requests
api_key = "YOUR_API_KEY"
translation_id = "65f0d3f6f0a1c91234567890"
url = f"https://api.gpttranslator.co/v1/translation/download-document/{translation_id}"
response = requests.get(url, headers={"x-api-key": api_key}, stream=True)
if response.status_code == 200:
with open("translated-document", "wb") as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
else:
print(response.status_code)
try:
print(response.json())
except Exception:
print("Download failed")
Response Types
Success (200):
- Returns binary file content.
- Headers include:
Content-Type(based on translated file type)Content-Disposition: attachment; filename="..."
Invalid API key header (401):
{
"message": "Invalid api key",
"error": "Invalid api key",
"statusCode": 401,
"data": null
}
Invalid API key/user/org setup (400):
{
"message": "Invalid api key",
"error": "Invalid api key",
"statusCode": 400,
"data": null
}
Download errors:
{ "error": "Invalid translation ID" }
{ "error": "Translation not found or you do not have permission to access it" }
{ "error": "Translation is currently active. Please wait for completion." }
{ "error": "Translated file not available" }
Best Practice
Poll every 2 to 5 seconds for status until translationStatus becomes completed or failed.