xtract.bot

Image perspective

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POST /api/image-perspective3 quota units per call · cache hits free

Auto-rectify a photo of a rectangle (document, whiteboard, painting): detects the four corners and warps the image so the rectangle is straight-on.

Looks for a rectangular subject in the image (a document on a desk, a painting on a wall, a sign at an angle), detects its four corners, and warps the image so the rectangle is straight-on. Used as a building block in `image-detect-document` and `ocr-prep-id-card`. For specialised pre-OCR pipelines those higher-level tools are usually a better fit; use this one when you need raw rectified output.

Inputs

NameTypeDefaultDescription
image*fileInput image (PNG / JPEG / WebP).
points*stringJSON-encoded array of 16 numbers (4 source/dest pairs in TL,TR,BR,BL order).
formatenum (png | jpeg | webp)Output format. Defaults to the input's.

Response

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

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 size8 MiB (base64 inflates file payloads ~33% — the limit applies to the decoded bytes).
Max response size16 MiB
Timeout60s 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 tilt 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-perspective \
  -H "Content-Type: application/json" \
  -H "Accept: application/octet-stream" \
  -H "X-Account-Id: $XTRACT_ACCOUNT_ID" \
  -H "X-Api-Key: $XTRACT_API_KEY" \
  -d '{
  "points": "[0,0,20,0, 100,0,80,0, 100,100,100,100, 0,100,0,100]",
  "image": "'"$IMAGE"'"
}'