topaz/denoise/image
Denoise Image is Topaz Labs's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runtopaz/denoise/imageInput Schema
3 parameters · 1 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | Url of the image to process · Min length: 1 |
model | string | Optional | Denoise model. Normal is general-purpose; Strong and Extreme remove progressively more noise; Denoise Max is Topaz's highest-quality generative denoiser. · Options: Normal, Strong, Extreme, Denoise Max · Default: "Normal" NormalStrongExtremeDenoise Max |
output_format | string | Optional | Output format of the processed image. · Options: jpeg, png · Default: "jpeg" jpegpng |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "Normal",
"image": "https://static.sandbase.ai/examples/topaz/denoise/image/input_image_0.jpeg",
"output_format": "jpeg",
"prompt": "a beautiful sunset over mountains"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Image
Image is tailored to the topaz/denoise/image workflow for image work in image production. Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. Denoise Image is Topaz Labs's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion. Because topaz/denoise/image is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. This is the creative remit of the exact endpoint, not a family-wide promise.
Image exposes image, output_format, model as its documented request surface. The mandatory portion is image. image controls url of the image to process; output format controls output format of the processed image; output format accepts jpeg, png; model controls denoise model. Normal is general-purpose; Strong and Extreme remove progressively more noise; Denoise Max is Topaz's highest-quality generative denoiser; model accepts Normal, Strong, Extreme, Denoise Max. For example, the route documentation includes “https://static.sandbase.ai/examples/topaz/denoise/image/input_image_0.jpeg”. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing.
Highlights
- Image noise removal. Topaz Denoise Image reduces luminance grain, chroma speckling, and compression artifacts in a supplied still image.
- Detail preservation. The enhancement focuses on separating unwanted noise from subject edges and useful texture instead of applying indiscriminate blur.
- Low-light restoration. It fits photographs and generated artwork whose shadows or flat regions contain distracting granular noise.
- Preparation for finishing. A cleaner source can be sharpened, enlarged, retouched, or exported with fewer artifacts becoming more visible.
Pricing
| Billing option | Price |
|---|---|
| Per request | $0.08 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose Image | Use it when the job specifically calls for image and the route’s documented input contract matches assets already available in your workflow. |
| Keep the request reproducible | Use the required image explicitly, then record optional choices alongside the prompt for repeatable reruns. |
| Build controlled creative variations | Change one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions. |
| Integrate asynchronous delivery | Use this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact. |
| Validate before a large batch | Run representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production. |
Prompt Guide
Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for topaz/denoise/image.
{
"image": "https://static.sandbase.ai/examples/topaz/denoise/image/input_image_0.jpeg",
"output_format": "jpeg",
"model": "Normal"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | topaz/denoise/image |
| Execution mode | async |
| Task type | image |
image | string · required |
output_format | string · optional · choices: jpeg, png |
model | string · optional · choices: Normal, Strong, Extreme, Denoise Max |

