Phota Enhance

Playground

Phota Enhance improves image quality and detail. Supports batch enhancement up to 4 images with JPEG, PNG, or WebP output. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Phota Enhance

Phota Enhance restores and upscales images with AI-powered detail reconstruction. Upload a photo and get a sharper, cleaner, higher-quality result — whether you’re restoring an old scan, fixing a compressed image, or preparing assets for high-resolution output. Supports batch processing and multiple output formats.

Why Choose This?

AI-powered detail reconstruction Recovers fine textures, sharp edges, and lost detail from low-quality or compressed source images.
Multiple output formats Export in JPEG, PNG, or WebP to fit any downstream workflow or delivery requirement.
Batch processing Generate multiple enhanced versions in a single run using the num_images parameter.
4K output support Upscale to 4K resolution for print, broadcast, or archival use cases.

Parameters

Parameter	Required	Description
image	Yes	Source image to enhance (URL or file upload).
num_images	No	Number of enhanced outputs to generate per run. Default: 1.
output_format	No	Output file format: jpeg (default), png, or webp.

How to Use

Upload your image — provide the photo you want to enhance via URL or drag-and-drop.
Set num_images (optional) — generate multiple enhanced variations in one run.
Choose output format — select jpeg, png, or webp based on your delivery needs.
Submit — download your enhanced image.

Pricing

Resolution	Cost per Image
Standard	$0.09
4K	$0.18

Billing Rules

Standard: $0.09 per image
4K: $0.18 per image (2× base price)
Total cost = cost per image × num_images

Best Use Cases

Photo Restoration — Recover detail and clarity from old, faded, or damaged photographs.
Asset Upscaling — Prepare low-resolution images for high-resolution print or display output.
E-commerce — Sharpen and clean up product photography for marketplace and storefront use.
Content Production — Enhance compressed or low-quality source images before publishing.
Archival & Digitization — Improve scanned documents, film stills, and archival imagery.

Pro Tips

Use PNG output for images where lossless quality matters, such as product shots or illustrations.
Use WebP for web delivery — smaller file size with strong quality retention.
For best results, provide the highest-quality source image available — enhancement works best when there is usable detail to recover.
Use num_images to generate multiple variations and select the best result.

Notes

image is the only required field; all other parameters are optional.
Ensure image URLs are publicly accessible if using a link rather than a direct upload.
Please ensure your content complies with WaveSpeed AI’s usage policies.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/phota/enhance" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "num_images": 1,
    "output_format": "jpeg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
image	string	Yes		-	Input image supports both URL and Base64 format.
num_images	integer	No	1	1 ~ 4	Number of images to generate.
output_format	string	No	jpeg	jpeg, png, webp	The format of the generated image.
enable_sync_mode	boolean	No	false	-	If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
enable_base64_output	boolean	No	false	-	If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	string	Array of URLs to the generated content (empty when status is not completed).
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

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