xtract.bot

Smart crop (gradient)

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POST /api/image-smart-crop-traditional2 quota units per call · cache hits free

Crop an image to a target aspect ratio while keeping the region with the most edge energy in frame. Uses a Sobel-gradient saliency map plus a sliding-window energy search.

Crops the input to a target aspect ratio, choosing the crop window that contains the most visual interest. Algorithm: 1. Sobel gradient on a downsampled luminance buffer → saliency. 2. Slide every legal window of the target aspect across the image and sum the saliency inside it. 3. Pick the window with the highest sum; apply it to the original-resolution image. Cheap, deterministic, and predictable — good fit for batch thumbnail generation where you want "focus on the busy bit" but don't want an ML model in the loop. For face-priority crop use `image-face-crop`; for ML-saliency crop see the upcoming `image-smart-crop-saliency` (T2, ONNX U²-Net). `aspect` accepts either a numeric ratio (e.g. `1.0`, `1.778`) or a colon-separated pair (`16:9`, `4:5`). If both `aspect` and explicit `targetWidth`/`targetHeight` are given the explicit dimensions win.

Inputs

NameTypeDefaultDescription
image*fileInput image bytes.
aspectstring"1:1"Target aspect ratio. Either `W:H` (e.g. `16:9`) or a decimal (`1.778`).
targetWidthnumber (1…8192)Optional explicit output width. When set, the crop matches this exactly.
targetHeightnumber (1…8192)Optional explicit output height. When set, the crop matches this exactly.
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 call2 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 square 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-smart-crop-traditional \
  -H "Content-Type: application/json" \
  -H "Accept: application/octet-stream" \
  -H "X-Account-Id: $XTRACT_ACCOUNT_ID" \
  -H "X-Api-Key: $XTRACT_API_KEY" \
  -d '{
  "aspect": "1:1",
  "format": "jpeg",
  "image": "'"$IMAGE"'"
}'