POST videos/upscale

Upscale Videos

January 20, 2026 (May 25, 2026)

Request Headers
Request Body
Responses
Model
Examples
Try It

Upscale a previously generated video to 1080p or 4K resolution.

Currently, video upscaling requires a paid Google AI subscription or remaining credits.
Currently, 4K resolution requires a Google AI Ultra subscription. Other paid accounts can only use 1080p resolution.
1080p upscaling is free. 4K upscaling currently costs 50 credits.
Video upscaling typically completes within 30-60 seconds, with 4K taking a few minutes.
Upscaling the same video twice returns a cached result (no additional credits consumed). Use the video URL from the first upscale response.

https://api.useapi.net/v1/google-flow/videos/upscale

Request Headers

Authorization: Bearer {API token}
Content-Type: application/json
# Alternatively you can use multipart/form-data
# Content-Type: multipart/form-data

API token is required, see Setup useapi.net for details.

Request Body

{
  "mediaGenerationId": "user:12345-email:6a6f...-video:CAMaJDMx...",
  "resolution": "1080p"
}

mediaGenerationId is required. The mediaGenerationId from a previously generated video via POST /videos.
resolution is optional. Target resolution for upscaling (default: 1080p).
Supported values: 1080p, 4K.
async is optional, enables fire-and-forget mode (default: false).
When true, returns immediately with 201 Created and job metadata. Poll GET /jobs/jobId for completion status.
replyUrl is optional, webhook URL for job status callbacks.
Receives POST requests with job status updates (created, started, completed, failed). The JSON payload shape matches GET /jobs/jobId response.
replyRef is optional, custom reference string passed back in webhook callbacks.
captchaToken, captchaRetry, captchaOrder are optional, mutually exclusive captcha parameters. See Captcha Parameters for details.

Responses

200 OK

Video upscaled successfully. Both operations[] (legacy, with fifeUrl) and media[] (current, with videoUrl) are populated.

{
  "jobId": "j1737312345678v-u12345-email:jo***@gmail.com-bot:google-flow",
  "operations": [
    {
      "operation": {
        "name": "2fefd089-...redacted..._upsampled",
        "metadata": {
          "@type": "type.googleapis.com/google.internal.labs.aisandbox.v1.Media",
          "name": "2fefd089-...redacted..._upsampled",
          "video": {
            "seed": 0,
            "model": "veo_3_1_upsampler_1080p",
            "aspectRatio": "VIDEO_ASPECT_RATIO_LANDSCAPE",
            "isLooped": false,
            "upsampleResolution": "VIDEO_UPSAMPLE_RESOLUTION_1080P",
            "fifeUrl": "https://flow-content.google/video/2fefd089-..._upsampled?Expires=...",
            "servingBaseUri": "https://flow-content.google/image/2fefd089-..._upsampled?Expires=...",
            "mediaGenerationId": "user:12345-email:6a6f...-video:2fefd089-..._upsampled",
            "mediaVisibility": "PRIVATE"
          }
        }
      },
      "sceneId": "",
      "status": "MEDIA_GENERATION_STATUS_SUCCESSFUL",
      "mediaGenerationId": "user:12345-email:6a6f...-video:2fefd089-..._upsampled"
    }
  ],
  "media": [
    {
      "name": "2fefd089-...redacted..._upsampled",
      "projectId": "9f63078c-...redacted...",
      "workflowId": "66612805-...redacted...",
      "workflowStepId": "CAI",
      "mediaMetadata": {
        "createTime": "2026-05-20T23:31:41.145235Z",
        "requestData": { "videoGenerationRequestData": { "...": "..." }, "clientPlatform": "CLIENT_PLATFORM_WEB" },
        "mediaStatus": { "mediaGenerationStatus": "MEDIA_GENERATION_STATUS_SUCCESSFUL" },
        "visibility": "PRIVATE"
      },
      "video": {
        "generatedVideo": {
          "seed": 0,
          "model": "veo_3_1_upsampler_1080p",
          "baseImageMediaGenerationId": "",
          "isLooped": false,
          "aspectRatio": "VIDEO_ASPECT_RATIO_LANDSCAPE",
          "upsampleMetadata": { "videoUpsampleResolution": "VIDEO_UPSAMPLE_RESOLUTION_1080P" }
        },
        "dimensions": { "length": "0s" },
        "operation": { "name": "2fefd089-..._upsampled" }
      },
      "mediaGenerationId": "user:12345-email:6a6f...-video:2fefd089-..._upsampled",
      "videoUrl": "https://flow-content.google/video/2fefd089-..._upsampled?Expires=...",
      "thumbnailUrl": "https://flow-content.google/image/2fefd089-..._upsampled?Expires=..."
    }
  ],
  "remainingCredits": 18760,
  "captcha": {
    "service": "AntiCaptcha",
    "taskId": "abc123...",
    "durationMs": 3500,
    "attempts": [
      {
        "service": "AntiCaptcha",
        "taskId": "abc123...",
        "durationMs": 3500,
        "success": true
      }
    ]
  }
}

201 Created

Job created in async mode (async: true). Video upscaling is processing in the background.

Use GET /jobs/jobId to poll for completion status.

{
  "jobid": "j1737312345678v-u12345-email:jo***@gmail.com-bot:google-flow",
  "type": "video",
  "status": "created",
  "created": "2026-01-19T12:34:56.789Z",
  "request": {
    "async": true,
    "mediaGenerationId": "user:12345-email:6a6f...-video:CAMaJDMx...",
    "resolution": "1080p"
  },
  "response": {
    "captcha": {
      "service": "AntiCaptcha",
      "taskId": "14af1dbb-885c-4e25-8121-7a79489dfd0e",
      "durationMs": 5357
    }
  }
}

400 Bad Request

Invalid request.
```
{
  "error": "Error message"
}
```
401 Unauthorized

Invalid API token.
```
{
  "error": "Unauthorized"
}
```
403 Forbidden

Request rejected by Google — the reCAPTCHA token was outright rejected (not just scored low). After internal retries with fresh tokens, the worker returns this. The top-level error field carries a captcha_quality: prefix so tooling can detect this failure class. Increase captchaRetry (default 3) in the request body to 5 or higher, and configure additional providers via POST /accounts/captcha-providers so captchaOrder can cycle across them. If issues persist, contact your reCAPTCHA provider(s) support.

404 Not Found

Account not found or video not found.

{
  "error": "Google Flow account [email protected] not found"
}

408 Request Timeout

Video upscaling polling timeout (after 10 minutes).
```
{
  "error": "Polling timeout"
}
```

429 Too Many Requests

Google returns several RESOURCE_EXHAUSTED 429 variants. Check the reason field and respond accordingly:

Reason	Meaning	Scope	What to do	Cooldown
`PUBLIC_ERROR_` `USER_REQUESTS_THROTTLED`	Per-user concurrency limit (the token was fine)	All models on the account	Run fewer parallel requests, retry later	~30 min
`PUBLIC_ERROR_` `USER_QUOTA_REACHED`	Account’s overall Flow quota cap	All models on the account	Add accounts, or omit `email` to load-balance	~30 min
`PUBLIC_ERROR_` `PER_MODEL_DAILY_QUOTA_REACHED`	Per-model daily quota	Only that model, on that account	Switch model, or wait	Next UTC midnight
`PUBLIC_ERROR_` `UNUSUAL_ACTIVITY_TOO_MUCH_TRAFFIC`	Captcha-provider issue — low reCAPTCHA score (worker already auto-retried)	Per request	Add more captcha providers + `captchaOrder`, or raise `captchaRetry`	60s

Every 429 returns the cooldown two ways — an HTTP Retry-After: <seconds> header and a body retryAfter: <ISO timestamp> field. Honor it before retrying.

When email is omitted, the first three reasons quarantine the account and the load balancer routes around it. If every account is quarantined for the model you get 429 with error: "no_eligible_account". Routing details: GET /jobs › Load Balancing Algorithm.

Captcha-quality failures prefix the top-level error with captcha_quality: (e.g. "captcha_quality: PUBLIC_ERROR_UNUSUAL_ACTIVITY_TOO_MUCH_TRAFFIC after 3 attempts") so you can detect them without parsing the nested body.

503 Service Unavailable

503 has two distinct causes — check the response body to tell them apart.

A transient Google-side outage. Wait 5-10 seconds and retry.
```
{
  "error": {
    "code": 503,
    "message": "Service temporarily unavailable.",
    "status": "UNAVAILABLE"
  }
}
```
A captcha-provider failure — the top-level error is prefixed Captcha service failed:. The problem is your captcha provider (check its API key and balance), not Google. Don’t retry until the provider is back.
```
{
  "error": "Captcha service failed: ERROR_ZERO_BALANCE",
  "code": 503
}
```

Model

Video upscaling completed. Returns upscaled video data with signed URLs. Re-upscaling the same video returns rawBytes (base64 video data) instead of URLs.

{
  jobId: string                              // Job identifier
  operations: Array<{                        // Legacy shape, still populated for upscale (with fifeUrl)
    operation: {
      name: string
      metadata: {
        '@type': string
        name: string
        video: {
          seed: number
          model: string                      // veo_3_1_upsampler_1080p | veo_3_1_upsampler_4k
          aspectRatio: string                // VIDEO_ASPECT_RATIO_LANDSCAPE | PORTRAIT
          isLooped: boolean
          upsampleResolution?: string        // 'VIDEO_UPSAMPLE_RESOLUTION_1080P' | 'VIDEO_UPSAMPLE_RESOLUTION_4K'
          fifeUrl: string                    // Signed video URL (MP4)
          servingBaseUri: string             // Signed thumbnail URL (JPEG)
          mediaGenerationId: string          // Encoded reference ID for the upscaled video
          mediaVisibility: string
        }
      }
    }
    sceneId: string
    status: string                           // MEDIA_GENERATION_STATUS_SUCCESSFUL | FAILED
    mediaGenerationId: string
  }>
  media: Array<{                             // Current shape — same fields as POST /videos
    name: string                             // Media identifier (raw UUID)
    projectId: string
    workflowId?: string
    workflowStepId?: string                  // e.g. "CAI" for upscale
    mediaMetadata: {
      createTime?: string                    // ISO 8601 timestamp
      requestData?: object                   // Full Google Flow request payload
      mediaStatus: {
        mediaGenerationStatus: string        // MEDIA_GENERATION_STATUS_SUCCESSFUL | FAILED
        error?: { code: number; message: string }
      }
      visibility?: string
    }
    video?: {
      generatedVideo: {
        seed: number
        model: string                        // veo_3_1_upsampler_1080p | veo_3_1_upsampler_4k
        baseImageMediaGenerationId?: string  // Source video media ID
        isLooped: boolean
        aspectRatio: string                  // VIDEO_ASPECT_RATIO_LANDSCAPE | PORTRAIT
        upsampleMetadata?: { videoUpsampleResolution: string }  // VIDEO_UPSAMPLE_RESOLUTION_1080P | _4K
      }
      dimensions?: { length?: string }       // Often "0s" for upscale (not meaningful)
      operation: { name: string }
    }
    mediaGenerationId: string                // Encoded reference ID for use in subsequent API calls
    videoUrl?: string                        // Signed video download URL (MP4)
    thumbnailUrl?: string                    // Signed thumbnail download URL (JPEG)
  }>
  remainingCredits?: number
  captcha?: {                                // Captcha metadata
    service: string                          // "CapSolver" | "AntiCaptcha" | "YesCaptcha" | "CapMonster" | "SolveCaptcha" | "2Captcha" | "EzCaptcha" | "UserProvided"
    taskId?: string
    durationMs: number
    attempts: Array<{
      service: string
      taskId?: string
      durationMs: number
      success: boolean
      error?: string
    }>
  }
}

Job created and processing in background. Structure matches GET /jobs/jobId response.

{
  jobid: string                              // Job identifier
  type: 'video'                              // Job type
  status: 'created'                          // Job status
  created: string                            // ISO 8601 timestamp
  request: {
    async: true
    mediaGenerationId: string                // Original video reference
    resolution?: string                      // "1080p" | "4K"
    replyUrl?: string
    replyRef?: string
  }
  response: {
    captcha?: {                              // Present when captcha was used
      service: string                        // Provider or "UserProvided"
      taskId?: string                        // Absent for UserProvided
      durationMs: number
    }
  }
}

Error response structure.

{
  jobId?: string                             // Present for job-related errors
  error: string                              // Error summary message
  code?: number                              // HTTP status code
  response?: {                               // API response with error details
    error?: {
      code: number
      message: string
      status: string
      details?: Array<{
        '@type': string
        reason: string
      }>
    }
  }
}

Examples

# First generate a video
curl -X POST \
     -H "Authorization: Bearer YOUR_API_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{"prompt": "A serene mountain landscape at sunset"}' \
     "https://api.useapi.net/v1/google-flow/videos" > generate.json

# Extract mediaGenerationId from the response
MEDIA_ID=$(jq -r '.media[0].mediaGenerationId' generate.json)

# Upscale the video to 1080p
curl -X POST \
     -H "Authorization: Bearer YOUR_API_TOKEN" \
     -H "Content-Type: application/json" \
     -d "{\"mediaGenerationId\": \"$MEDIA_ID\", \"resolution\": \"1080p\"}" \
     "https://api.useapi.net/v1/google-flow/videos/upscale" > upscale.json

# Extract upscaled video URL and download
VIDEO_URL=$(jq -r '.media[0].videoUrl' upscale.json)
curl "$VIDEO_URL" --output upscaled_video.mp4

const token = 'YOUR_API_TOKEN';

// First generate a video
const generateResponse = await fetch('https://api.useapi.net/v1/google-flow/videos', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    prompt: 'A serene mountain landscape at sunset'
  })
});

const generated = await generateResponse.json();
// Prefer media[] over deprecated operations[]
const mediaGenerationId = generated.media[0].mediaGenerationId;

// Upscale the video
const upscaleResponse = await fetch('https://api.useapi.net/v1/google-flow/videos/upscale', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${token}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    mediaGenerationId,
    resolution: '1080p'
  })
});

const upscaled = await upscaleResponse.json();
// Prefer media[] over deprecated operations[]
const videoUrl = upscaled.media[0].videoUrl;

// Download upscaled video (Node.js)
const videoResponse = await fetch(videoUrl);
const videoBuffer = await videoResponse.arrayBuffer();
require('fs').writeFileSync('upscaled_video.mp4', Buffer.from(videoBuffer));
console.log('Upscaled video saved!');

import requests

token = 'YOUR_API_TOKEN'
headers = {
    'Authorization': f'Bearer {token}',
    'Content-Type': 'application/json'
}

# First generate a video
generate_response = requests.post(
    'https://api.useapi.net/v1/google-flow/videos',
    headers=headers,
    json={'prompt': 'A serene mountain landscape at sunset'}
)
generated = generate_response.json()
# Prefer media[] over deprecated operations[]
media_generation_id = generated['media'][0]['mediaGenerationId']

# Upscale the video
upscale_response = requests.post(
    'https://api.useapi.net/v1/google-flow/videos/upscale',
    headers=headers,
    json={
        'mediaGenerationId': media_generation_id,
        'resolution': '1080p'
    }
)
upscaled = upscale_response.json()
# Prefer media[] over deprecated operations[]
video_url = upscaled['media'][0]['videoUrl']

# Download upscaled video
video_response = requests.get(video_url)
with open('upscaled_video.mp4', 'wb') as f:
    f.write(video_response.content)
print('Upscaled video saved!')