Fonctionnalité Pro
Cette fonctionnalité est disponible uniquement pour les utilisateurs Pro. Passez à Pro pour accéder à cet outil et à bien d'autres.
Scan API
Scan API convertit des documents PDF en copies numérisées réalistes au moyen d’appels API, pour l’automatisation et l’intégration à des applications. Les fichiers PDF sont importés pour être traités à distance ; ce flux nécessite donc une connexion internet. Personnalisez la couleur, le bruit, le flou, les bordures et la rotation, puis utilisez l’API depuis tout environnement ou langage de programmation capable d’envoyer des requêtes HTTP.
API Bearer Token
Exemples de code
interface ScanConfig {
rotate?: number // degrees to rotate the document
rotate_var?: number // degrees to rotate the document randomly
colorspace?: 'gray' | 'sRGB' // the colorspace of the output image
blur?: number // the amount of blur to apply to the image
noise?: number // the amount of noise to apply to the image
border?: boolean // whether to add a border to the image
brightness?: number // the brightness of the image. 1 is no change
contrast?: number // the contrast of the image. 1 is no change
resolution?: number // the resolution of the image in DPI
output_format?: 'image/png' | 'image/jpeg' // the format of the output image
}
interface ScanOptions {
config: ScanConfig
webhookUrl?: string // webhook URL to notify when job is completed
}
interface ScanResponse {
jobID: string // UUID of the scan job
userID: string // UUID of the user who created the job
createdAt: number // timestamp of job creation
status: 'pending' | 'processing' | 'completed' | 'failed'
config: ScanConfig
inputUploadedAt?: number // timestamp when input file was uploaded
completedAt?: number // timestamp when job was completed
webhookUrl?: string // webhook URL for notifications
uploadURL?: string // S3 presigned URL for file upload
downloadURL?: string // S3 presigned URL for file download
}
async function apiScan(pdfBlob: Blob, scanOptions: ScanOptions, token: string): Promise<ScanResponse> {
const response = await fetch('https://api.lookscanned.io/v1/scan-jobs', {
method: 'POST',
headers: {
'Authorization': `Bearer ${token}`
},
body: JSON.stringify(scanOptions)
})
const result: ScanResponse = await response.json()
// PUT PDF Blob to upload URL
const uploadURL = result.uploadURL
await fetch(uploadURL, {
method: 'PUT',
headers: {
'Content-Type': 'application/pdf',
'Content-Length': pdfBlob.size.toString()
},
body: pdfBlob
})
// get scan job status
const jobStatusResponse = await fetch(`https://api.lookscanned.io/v1/scan-jobs/${result.jobID}`, {
headers: {
'Authorization': `Bearer ${token}`
}
})
return await jobStatusResponse.json()
}import requests
def api_scan(pdf_file, scan_options, token):
# Create scan job
response = requests.post(
'https://api.lookscanned.io/v1/scan-jobs',
headers={'Authorization': f'Bearer {token}'},
json=scan_options
)
result = response.json()
# Upload PDF to presigned URL
upload_url = result['uploadURL']
requests.put(
upload_url,
headers={
'Content-Type': 'application/pdf',
'Content-Length': str(len(pdf_file))
},
data=pdf_file
)
# Get scan job status
job_status = requests.get(
f'https://api.lookscanned.io/v1/scan-jobs/{result["jobID"]}',
headers={'Authorization': f'Bearer {token}'}
)
return job_status.json()
# Example usage
if __name__ == "__main__":
with open('document.pdf', 'rb') as f:
pdf_content = f.read()
options = {
'config': {
# Optional parameters:
# 'rotate': 0, # degrees to rotate the document
# 'colorspace': 'gray', # gray or sRGB
# 'resolution': 300, # DPI
# 'rotate_var': 0, # random rotation variance in degrees
# 'blur': 0, # amount of blur
# 'noise': 0, # amount of noise
# 'border': False, # whether to add border
# 'brightness': 1, # 1 is no change
# 'contrast': 1, # 1 is no change
# 'output_format': 'image/png' # image/png or image/jpeg
},
'webhookUrl': 'https://example.com/webhook'
}
result = api_scan(pdf_content, options, 'your-api-token')
print(f"Scan job created with ID: {result['jobID']}")# Set your API token and PDF file as environment variables
export LOOKSCANNED_API_TOKEN='your_api_token_here'
# Create a new scan job
curl -X POST 'https://api.lookscanned.io/v1/scan-jobs' \
-H "Authorization: Bearer ${LOOKSCANNED_API_TOKEN}" \
-H 'Content-Type: application/json' \
-d '{
"config": {
"rotate": 0,
"rotate_var": 1,
"colorspace": "gray",
"blur": 0.2,
"noise": 0.1,
"border": true,
"brightness": 1.0,
"contrast": 1.0,
"resolution": 300,
"output_format": "image/jpeg"
},
"webhookUrl": "https://your-domain.com/webhook"
}'
# Response will include uploadURL and jobID
# {
# "jobID": "550e8400-e29b-41d4-a716-446655440000",
# "userID": "446655440000-e29b-41d4-a716-550e8400",
# "createdAt": 1616161616,
# "status": "created",
# "uploadURL": "...",
# "config": { ... }
# }
# Upload PDF file to the presigned URL
curl -X PUT 'PRESIGNED_UPLOAD_URL' \
-H 'Content-Type: application/pdf' \
-H "Content-Length: PDF_FILE_SIZE" \
--data-binary "@path/to/your/file.pdf"
# Check job status
curl 'https://api.lookscanned.io/v1/scan-jobs/JOB_ID' \
-H "Authorization: Bearer ${LOOKSCANNED_API_TOKEN}"
# Response will include status and downloadURL when completed
# {
# "jobID": "550e8400-e29b-41d4-a716-446655440000",
# "status": "completed",
# "downloadURL": "...",
# ...
# }
# Download the PDF
curl -o scanned.pdf 'DOWNLOAD_URL'Essayez-le
{
"config": {
"rotate": 1,
"rotate_var": 0.5,
"colorspace": "gray",
"blur": 0,
"noise": 0,
"border": false,
"brightness": 1.3,
"contrast": 1.3,
"resolution": 150,
"output_format": "image/jpeg"
}
}