Photo Upload

Upload a Photo with Headers from Collection

Request Sample

const result = await mediaviz.photoUpload.uploadPhoto(
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<PHOTO>'
);
const result = await mediaviz.photoUpload.uploadPhoto(
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<PHOTO>'
);
const result = await mediaviz.photoUpload.uploadPhoto(
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<PHOTO>'
);
const { client } = useMediaViz();

const result = await client.photoUpload.uploadPhoto(
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<PHOTO>'
);
result = mediaviz.photo_upload.upload_photo(
    '<COMPANY_ID>',
    '<USER_ID>',
    '<PROJECT_TABLE_NAME>',
    '<PHOTO>'
)
$result = $mediaviz->photoUpload->uploadPhoto(
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<PHOTO>'
);
# Step 1: get_project_prelim_model_request_template
curl -X GET 'https://api.mediaviz.ai/api/v1/project_outcome/<PROJECT_TABLE_NAME>' \
  -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyX2lkIjoidXNyXzAxYWJjMTIzIiwiZXhwIjoxNzQzNjMwMzI5fQ.RwJF-KLLr8K5JgEtIeFiKWELcv-FDLNzMPHJ2St_wAo'

# Step 2: Upload a preprocessed photo with metadata in the JSON body
curl -X POST 'https://upload.mediaviz.ai/photo_upload' \
  -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyX2lkIjoidXNyXzAxYWJjMTIzIiwiZXhwIjoxNzQzNjMwMzI5fQ.RwJF-KLLr8K5JgEtIeFiKWELcv-FDLNzMPHJ2St_wAo' \
  -H 'Content-Type: application/json' \
  --data @- <<'JSON'
{
  "file_content": "<FILE_CONTENT>",
  "file_path": "<FILE_PATH>",
  "mimetype": "<MIMETYPE>",
  "company_id": "<COMPANY_ID>",
  "user_id": "<USER_ID>",
  "project_table_name": "<PROJECT_TABLE_NAME>",
  "blur": "<BLUR>",
  "colors": "<COLORS>",
  "face_recognition": "<FACE_RECOGNITION>",
  "image_classification": "<IMAGE_CLASSIFICATION>",
  "image_comparison": "<IMAGE_COMPARISON>",
  "image_describe": "<IMAGE_DESCRIBE>",
  "ocr": "<OCR>"
}
JSON

Photo Upload with Manual Headers

Request Sample

const result = await mediaviz.photoUpload.uploadPhotoToMediaviz(
  '<FILE_CONTENT>',
  '<FILE_PATH>',
  '<MIMETYPE>',
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<BLUR>',
  '<COLORS>',
  '<FACE_RECOGNITION>',
  '<IMAGE_CLASSIFICATION>',
  '<IMAGE_COMPARISON>',
  '<IMAGE_DESCRIBE>',
  '<OCR>',
  {
    clientSideId: '<CLIENT_SIDE_ID>',
    format: '<FORMAT>',
    size: '<SIZE>',
    sourceResolutionX: '<SOURCE_RESOLUTION_X>',
    sourceResolutionY: '<SOURCE_RESOLUTION_Y>',
    dateTaken: '<DATE_TAKEN>',
    latitude: '<LATITUDE>',
    longitude: '<LONGITUDE>'
  }
);
const result = await mediaviz.photoUpload.uploadPhotoToMediaviz(
  '<FILE_CONTENT>',
  '<FILE_PATH>',
  '<MIMETYPE>',
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<BLUR>',
  '<COLORS>',
  '<FACE_RECOGNITION>',
  '<IMAGE_CLASSIFICATION>',
  '<IMAGE_COMPARISON>',
  '<IMAGE_DESCRIBE>',
  '<OCR>',
  {
    clientSideId: '<CLIENT_SIDE_ID>',
    format: '<FORMAT>',
    size: '<SIZE>',
    sourceResolutionX: '<SOURCE_RESOLUTION_X>',
    sourceResolutionY: '<SOURCE_RESOLUTION_Y>',
    dateTaken: '<DATE_TAKEN>',
    latitude: '<LATITUDE>',
    longitude: '<LONGITUDE>'
  }
);
const result = await mediaviz.photoUpload.uploadPhotoToMediaviz(
  '<FILE_CONTENT>',
  '<FILE_PATH>',
  '<MIMETYPE>',
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<BLUR>',
  '<COLORS>',
  '<FACE_RECOGNITION>',
  '<IMAGE_CLASSIFICATION>',
  '<IMAGE_COMPARISON>',
  '<IMAGE_DESCRIBE>',
  '<OCR>',
  {
    clientSideId: '<CLIENT_SIDE_ID>',
    format: '<FORMAT>',
    size: '<SIZE>',
    sourceResolutionX: '<SOURCE_RESOLUTION_X>',
    sourceResolutionY: '<SOURCE_RESOLUTION_Y>',
    dateTaken: '<DATE_TAKEN>',
    latitude: '<LATITUDE>',
    longitude: '<LONGITUDE>'
  }
);
const { client } = useMediaViz();

const result = await client.photoUpload.uploadPhotoToMediaviz(
  '<FILE_CONTENT>',
  '<FILE_PATH>',
  '<MIMETYPE>',
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<BLUR>',
  '<COLORS>',
  '<FACE_RECOGNITION>',
  '<IMAGE_CLASSIFICATION>',
  '<IMAGE_COMPARISON>',
  '<IMAGE_DESCRIBE>',
  '<OCR>',
  {
    clientSideId: '<CLIENT_SIDE_ID>',
    format: '<FORMAT>',
    size: '<SIZE>',
    sourceResolutionX: '<SOURCE_RESOLUTION_X>',
    sourceResolutionY: '<SOURCE_RESOLUTION_Y>',
    dateTaken: '<DATE_TAKEN>',
    latitude: '<LATITUDE>',
    longitude: '<LONGITUDE>'
  }
);
result = mediaviz.photo_upload.upload_photo_to_mediaviz(
    '<FILE_CONTENT>',
    '<FILE_PATH>',
    '<MIMETYPE>',
    '<COMPANY_ID>',
    '<USER_ID>',
    '<PROJECT_TABLE_NAME>',
    '<BLUR>',
    '<COLORS>',
    '<FACE_RECOGNITION>',
    '<IMAGE_CLASSIFICATION>',
    '<IMAGE_COMPARISON>',
    '<IMAGE_DESCRIBE>',
    '<OCR>',
    client_side_id='<CLIENT_SIDE_ID>',
    format='<FORMAT>',
    size='<SIZE>',
    source_resolution_x='<SOURCE_RESOLUTION_X>',
    source_resolution_y='<SOURCE_RESOLUTION_Y>',
    date_taken='<DATE_TAKEN>',
    latitude='<LATITUDE>',
    longitude='<LONGITUDE>'
)
$result = $mediaviz->photoUpload->uploadPhotoToMediaviz(
  '<FILE_CONTENT>',
  '<FILE_PATH>',
  '<MIMETYPE>',
  '<COMPANY_ID>',
  '<USER_ID>',
  '<PROJECT_TABLE_NAME>',
  '<BLUR>',
  '<COLORS>',
  '<FACE_RECOGNITION>',
  '<IMAGE_CLASSIFICATION>',
  '<IMAGE_COMPARISON>',
  '<IMAGE_DESCRIBE>',
  '<OCR>',
  [
    'clientSideId' => '<CLIENT_SIDE_ID>',
    'format' => '<FORMAT>',
    'size' => '<SIZE>',
    'sourceResolutionX' => '<SOURCE_RESOLUTION_X>',
    'sourceResolutionY' => '<SOURCE_RESOLUTION_Y>',
    'dateTaken' => '<DATE_TAKEN>',
    'latitude' => '<LATITUDE>',
    'longitude' => '<LONGITUDE>'
  ]
);
curl -X POST 'https://upload.mediaviz.ai/photo_upload' \
  -H 'Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VyX2lkIjoidXNyXzAxYWJjMTIzIiwiZXhwIjoxNzQzNjMwMzI5fQ.RwJF-KLLr8K5JgEtIeFiKWELcv-FDLNzMPHJ2St_wAo' \
  -H 'Content-Type: application/json' \
  --data @- <<'JSON'
{
  "file_content": "<FILE_CONTENT>",
  "file_path": "<FILE_PATH>",
  "mimetype": "<MIMETYPE>",
  "company_id": "<COMPANY_ID>",
  "user_id": "<USER_ID>",
  "project_table_name": "<PROJECT_TABLE_NAME>",
  "blur": "true",
  "colors": "true",
  "face_recognition": "true",
  "image_classification": "true",
  "image_comparison": "true",
  "image_describe": "false",
  "ocr": "false",
  "client_side_id": "<CLIENT_SIDE_ID>",
  "format": "<FORMAT>",
  "size": "<SIZE>",
  "source_resolution_x": "<SOURCE_RESOLUTION_X>",
  "source_resolution_y": "<SOURCE_RESOLUTION_Y>",
  "date_taken": "<DATE_TAKEN>",
  "latitude": "<LATITUDE>",
  "longitude": "<LONGITUDE>"
}
JSON