Image DenoiserAbout Topaz Denoise & Sharpen
Remove noise or fix blur at the same resolution, up to 24 MP.
Call it with the model name topaz/denoise-sharpen/edit on POST /jobs/createTask, from $0.12.
Introduction
Topaz Denoise & Sharpen gives you two Topaz Labs model families through one endpoint. Denoise removes noise and grain while trying to keep real detail; Sharpen brings back clarity lost to focus errors, movement or a soft lens. You pick the model with preset; there is no prompt.
Request
{
"image_url": "https://example.com/night-shot.jpg",
"preset": "denoise_normal",
"output_format": "jpeg"
}Presets
| preset | Use it for |
|---|---|
denoise_normal | Everyday low-light or compression noise (default) |
denoise_strong | Very dark or high-ISO shots; keeps more detail than Extreme |
denoise_extreme | Severely degraded or heavily compressed images |
sharpen_standard | Mild softness or slight shake; the usual starting point |
sharpen_strong | Badly missed focus |
sharpen_natural | Gentle sharpening that keeps organic texture |
sharpen_portrait | Faces and skin |
sharpen_wildlife | Fur, feathers and other natural detail |
sharpen_refocus | Fine detail in a slightly defocused picture |
sharpen_motion_blur | Blur from camera or subject movement |
sharpen_lens_blur | Defocus and lens softness |
Our tests
A 2048×1152 candle-lit portrait with heavy added colour noise came back clean after about 19 seconds on denoise_normal; eyes, earrings and the bokeh lights held up, freckles faded. A 1024×1536 café portrait with fine grain, sent as WebP, lost the grain on denoise_strong in about 25 seconds while the curls and the knit pattern stayed. A deliberately blurred 1100×900 portrait regained eyes and stubble on sharpen_standard in 14 seconds. All three came back at their input size.
Limits
Denoise and Sharpen are separate requests, so chain them if a picture needs both. Sharpening reconstructs detail, so inspect faces and text at full size.
Request parameters
| Parameter | Required | Description |
|---|---|---|
image_url | Yes | The picture to start from. |
output_format | No | File type of the result. jpeg · png · Default: jpeg |
preset | No | Choose from the presets available for this model. denoise_normal · denoise_strong · denoise_extreme · sharpen_standard · sharpen_strong · sharpen_natural · sharpen_portrait · sharpen_wildlife · sharpen_refocus · sharpen_motion_blur · sharpen_lens_blur · Default: denoise_normal |
Pricing
Prices are in USD. The API uses a separate USD balance. Website credits cannot be used or transferred to it, and API funds cannot be transferred to website credits. When a task is accepted, we reserve the maximum quoted amount from your API balance. On completion, we charge for actual usage, never more than the hold, and release the remainder. If the task fails, the hold is released.
| Option | USD per image |
|---|---|
| Standard | $0.12 |
Send the same request body to POST /jobs/quote to see the estimated and maximum USD charge before running. A quote does not run the task or charge your balance.
API quick start
Call the Topaz Denoise & Sharpen API in three steps
- Create an API key. Sign in to PopNow and create a key in the API console. Keys start with sk-popnow-. API calls use your separate USD balance.
- Send the request. POST /jobs/createTask with model topaz/denoise-sharpen/edit and an input object that follows the parameter table. The response returns a task ID straight away.
- Get the result. Poll GET /jobs/recordInfo with the task ID, or pass a callBackUrl and we post the result to it. Download the output links when the task succeeds.
# 1. Create the task. Keep the Idempotency-Key if you retry after a network error.
export IDEMPOTENCY_KEY="$(uuidgen)"
curl -X POST https://api.popnow.ai/api/v1/jobs/createTask \
-H "Authorization: Bearer $POPNOW_API_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: $IDEMPOTENCY_KEY" \
-d '{
"model": "topaz/denoise-sharpen/edit",
"input": {
"image_url": "https://media.popnow.ai/influencer/examples/marco.webp",
"preset": "denoise_normal",
"output_format": "jpeg"
}
}'
# 2. Copy data.taskId from the response, then poll until state is succeeded, failed, canceled or expired.
TASK_ID="TASK_ID_FROM_RESPONSE"
curl "https://api.popnow.ai/api/v1/jobs/recordInfo?taskId=$TASK_ID" \
-H "Authorization: Bearer $POPNOW_API_KEY"Replace the prompt and any links with your own. The API tab has the response, polling and callback reference.
Topaz Denoise & Sharpen API questions
How much does the Topaz Denoise & Sharpen API cost?
Topaz Denoise & Sharpen costs $0.12 per image. The API uses a separate USD balance. Website credits cannot be used or transferred to it, and API funds cannot be transferred to website credits. When a task is accepted, we reserve the maximum quoted amount from your API balance. On completion, we charge for actual usage, never more than the hold, and release the remainder. If the task fails, the hold is released.
What is the model name for Topaz Denoise & Sharpen in the API?
Put topaz/denoise-sharpen/edit for Image Denoiser in the model field of POST /jobs/createTask.
Should I pick Normal, Strong or Extreme?
Start with Normal for everyday low-light or compression noise. Strong is for very dark, high-ISO shots and keeps more detail than Extreme. Extreme is meant for badly degraded or heavily compressed images and favours a clean result over fine texture.
Does the photo get bigger?
No. Our 2048×1152 test came back at 2048×1152 and the 1100×900 one at 1100×900. Use an upscaler afterwards if you also need more pixels.
Which sharpen preset suits a portrait?
sharpen_portrait is tuned for skin and facial structure. For a face that is only slightly soft, sharpen_standard or sharpen_natural keeps the result closer to the original; sharpen_strong is for badly missed focus.
What are the limits of the Topaz Denoise & Sharpen API?
Largest upload: 30 MB. Requests outside these limits are rejected before anything is charged.
Can I try Topaz Denoise & Sharpen without writing code?
Run Topaz Denoise & Sharpen in the Playground with your API USD balance, without an API key. Each run appears in your developer history with its matching code.