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Denoise (bilateral)

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POST /api/image-denoise-traditional3 quota units per call · cache hits free

Denoise a photo with a bilateral filter — smooths flat regions while keeping edges sharp. Tune the colour and spatial sigmas to control how aggressive the smoothing is.

Runs OpenCV's bilateral filter — a denoiser that smooths flat areas while preserving edges. The trick is that two pixels only average together if they're both *close in space* AND *similar in colour*, so a sharp boundary between regions doesn't smear. Useful for: - Cleaning up low-light camera noise without blurring detail. - Pre-processing for OCR, contour detection, edge detection. - Stylising photos (heavy denoise gives a painted-look effect). `diameter` controls the filter's neighbourhood radius (higher = slower, more aggressive). `sigmaColor` controls how different two pixels' colours can be and still be averaged. `sigmaSpace` controls the spatial falloff. For most photos the defaults are a good starting point. ML-based denoisers (DnCNN, NAFNet) produce cleaner results on heavy noise — those will be added later as a `-ml` variant.

Inputs

NameTypeDefaultDescription
image*fileInput image bytes.
diameternumber (1…25)9Neighbourhood diameter in pixels. Higher = slower + more aggressive smoothing.
sigmaColornumber (1…250)75Colour-similarity sigma. Higher = pixels with more-different colours get averaged together.
sigmaSpacenumber (1…250)75Spatial sigma. Higher = pixels further apart still influence each other.
formatenum (png | jpeg)"jpeg"Output image format.

Response

Modes: binary, stream, json. Cache: yes (24h TTL).

Large outputs stream: responses over the 4 MiB cache limit are piped through as they are produced instead of buffered. They carry x-cache-skip: size and are never cached — identical follow-up calls recompute.

Every response carries x-cache (HIT / MISS / BYPASS), x-cache-signature (stable across identical inputs), and the rate-limit headers listed below.

Quota & limits

Cost per call3 units against the 10,000-unit monthly quota. Cache hits are free — only cache misses decrement.
Burst limit200 requests per rolling minute, shared across all tools.
Max request size25 MiB (base64 inflates file payloads ~33% — the limit applies to the decoded bytes).
Max response size25 MiB
Timeout15s wall clock.
Rate-limit headersX-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Burst-Limit on every response; X-Quota-Warning once 80% of the monthly quota is spent; Retry-After on 429s.

Errors

Errors are JSON with an error string; schema failures add a details object (Zod's flattened field errors).

StatusWhenBody
400Input fails the tool's schema (wrong type, missing required field, malformed base64) or the file bytes can't be parsed as the expected format.{ "error": "invalid inputs", "details": { "fieldErrors": { … } } }
401Missing or invalid X-Api-Key / X-Account-Id headers (or no session when called from the browser).{ "error": "unauthorized" }
404Unknown tool id, or calling /api/* on the website hostname instead of api.xtract.bot.{ "error": "not found" }
413Request body over the tool's max request size, or an image header declaring more megapixels than the tool's pixel budget.{ "error": "…exceeds maxRequestBytes…" }
415Content-Type isn't application/json on the json-body transport.{ "error": "unsupported content-type; expected application/json" }
429Monthly quota or the 200/min burst limit exhausted. Check Retry-After and the X-RateLimit-* headers.{ "error": "monthly quota exceeded", "monthRemaining": 0, … }
5xxConversion engine failure. Safe to retry; if it persists, the input is hitting a bug — please report it.{ "error": "…" }

Code samples

Built from the default example.

# Download or substitute the example input:
#   curl -O https://xtract.bot/examples/image-png-to-webp/sample.png
IMAGE=$(base64 -w0 < sample.png)

curl -X POST https://api.xtract.bot/api/image-denoise-traditional \
  -H "Content-Type: application/json" \
  -H "Accept: application/octet-stream" \
  -H "X-Account-Id: $XTRACT_ACCOUNT_ID" \
  -H "X-Api-Key: $XTRACT_API_KEY" \
  -d '{
  "diameter": 9,
  "sigmaColor": 75,
  "sigmaSpace": 75,
  "format": "jpeg",
  "image": "'"$IMAGE"'"
}'