Phota Enhance API Documentation
Playground
Try it on WaveSpeedAI!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 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: $0.18 per image (2× base price)
- Total cost = cost per image × num_images
Best Use Cases
- Photo Restoration — Recover detail and clarity from old, faded, or damaged photographs.
- Asset Upscaling — Prepare low-resolution images for high-resolution print or display output.
- E-commerce — Sharpen and clean up product photography for marketplace and storefront use.
- Content Production — Enhance compressed or low-quality source images before publishing.
- Archival & Digitization — Improve scanned documents, film stills, and archival imagery.
Pro Tips
- Use PNG output for images where lossless quality matters, such as product shots or illustrations.
- Use WebP for web delivery — smaller file size with strong quality retention.
- For best results, provide the highest-quality source image available — enhancement works best when there is usable detail to recover.
- Use num_images to generate multiple variations and select the best result.
Notes
- image is the only required field; all other parameters are optional.
- Ensure image URLs are publicly accessible if using a link rather than a direct upload.
- Please ensure your content complies with WaveSpeed AI’s usage policies.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"num_images": 1,
"output_format": "jpeg"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/phota/enhance" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
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 request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models. |
| enable_base64_output | boolean | No | false | - | If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN. |
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 | Output values, usually URL strings; some models return text strings or structured result objects (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 |
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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |