Ein Bild vektorisieren

Vectorize an image to SVG (Art. 50(2) scope-out)

curl --request POST \
  --url https://api.samsa.ai/public/v1/images/vectorizations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "image": {
    "image_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "url": "https://cdn.example.com/photo.png",
    "base64": "<string>",
    "mime_type": "image/png"
  },
  "svg_acceptance": true,
  "webhook_url": "https://example.com/webhooks/samsa"
}
'

import requests

url = "https://api.samsa.ai/public/v1/images/vectorizations"

payload = {
    "image": {
        "image_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "url": "https://cdn.example.com/photo.png",
        "base64": "<string>",
        "mime_type": "image/png"
    },
    "svg_acceptance": True,
    "webhook_url": "https://example.com/webhooks/samsa"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    image: {
      image_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
      url: 'https://cdn.example.com/photo.png',
      base64: '<string>',
      mime_type: 'image/png'
    },
    svg_acceptance: true,
    webhook_url: 'https://example.com/webhooks/samsa'
  })
};

fetch('https://api.samsa.ai/public/v1/images/vectorizations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.samsa.ai/public/v1/images/vectorizations",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'image' => [
        'image_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
        'url' => 'https://cdn.example.com/photo.png',
        'base64' => '<string>',
        'mime_type' => 'image/png'
    ],
    'svg_acceptance' => true,
    'webhook_url' => 'https://example.com/webhooks/samsa'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.samsa.ai/public/v1/images/vectorizations"

	payload := strings.NewReader("{\n  \"image\": {\n    \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n    \"url\": \"https://cdn.example.com/photo.png\",\n    \"base64\": \"<string>\",\n    \"mime_type\": \"image/png\"\n  },\n  \"svg_acceptance\": true,\n  \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.samsa.ai/public/v1/images/vectorizations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"image\": {\n    \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n    \"url\": \"https://cdn.example.com/photo.png\",\n    \"base64\": \"<string>\",\n    \"mime_type\": \"image/png\"\n  },\n  \"svg_acceptance\": true,\n  \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.samsa.ai/public/v1/images/vectorizations")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"image\": {\n    \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n    \"url\": \"https://cdn.example.com/photo.png\",\n    \"base64\": \"<string>\",\n    \"mime_type\": \"image/png\"\n  },\n  \"svg_acceptance\": true,\n  \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}"

response = http.request(request)
puts response.read_body

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "estimated_credits": 123
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

POST

images

vectorizations

Vectorize an image to SVG (Art. 50(2) scope-out)

curl --request POST \
  --url https://api.samsa.ai/public/v1/images/vectorizations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "image": {
    "image_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "url": "https://cdn.example.com/photo.png",
    "base64": "<string>",
    "mime_type": "image/png"
  },
  "svg_acceptance": true,
  "webhook_url": "https://example.com/webhooks/samsa"
}
'

import requests

url = "https://api.samsa.ai/public/v1/images/vectorizations"

payload = {
    "image": {
        "image_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "url": "https://cdn.example.com/photo.png",
        "base64": "<string>",
        "mime_type": "image/png"
    },
    "svg_acceptance": True,
    "webhook_url": "https://example.com/webhooks/samsa"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    image: {
      image_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
      url: 'https://cdn.example.com/photo.png',
      base64: '<string>',
      mime_type: 'image/png'
    },
    svg_acceptance: true,
    webhook_url: 'https://example.com/webhooks/samsa'
  })
};

fetch('https://api.samsa.ai/public/v1/images/vectorizations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.samsa.ai/public/v1/images/vectorizations",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'image' => [
        'image_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
        'url' => 'https://cdn.example.com/photo.png',
        'base64' => '<string>',
        'mime_type' => 'image/png'
    ],
    'svg_acceptance' => true,
    'webhook_url' => 'https://example.com/webhooks/samsa'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.samsa.ai/public/v1/images/vectorizations"

	payload := strings.NewReader("{\n  \"image\": {\n    \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n    \"url\": \"https://cdn.example.com/photo.png\",\n    \"base64\": \"<string>\",\n    \"mime_type\": \"image/png\"\n  },\n  \"svg_acceptance\": true,\n  \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.samsa.ai/public/v1/images/vectorizations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"image\": {\n    \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n    \"url\": \"https://cdn.example.com/photo.png\",\n    \"base64\": \"<string>\",\n    \"mime_type\": \"image/png\"\n  },\n  \"svg_acceptance\": true,\n  \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.samsa.ai/public/v1/images/vectorizations")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"image\": {\n    \"image_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n    \"url\": \"https://cdn.example.com/photo.png\",\n    \"base64\": \"<string>\",\n    \"mime_type\": \"image/png\"\n  },\n  \"svg_acceptance\": true,\n  \"webhook_url\": \"https://example.com/webhooks/samsa\"\n}"

response = http.request(request)
puts response.read_body

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "estimated_credits": 123
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

{
  "error": {
    "type": "<string>",
    "code": "<string>",
    "message": "<string>",
    "request_id": "<string>",
    "param": "aspect_ratio"
  }
}

Vektorisiere ein Quell-image in ein SVG. Der Aufruf gibt 202 Accepted mit einer Job-id zurück; frage GET /images/vectorizations/{id} nach dem Ergebnis ab. Das image nimmt genau eines von image_id, url oder base64 + mime_type. Es gibt keinen Modell-Parameter. Erfordert den images.transform-Scope.

SVG ist ein EU-AI-Act-Art.-50(2)-Scope-out. Ein SVG kann kein C2PA-Manifest oder eingebettetes Wasserzeichen tragen, daher werden Vektorausgaben unsigniert und ohne Wasserzeichen ausgeliefert. Die Auslieferung ist an svg_acceptance gebunden — eine ausdrückliche Bestätigung dessen. Die Bestätigung ist Offenlegungs-/Prüfnachweis, kein Compliance-Verzicht.

Beispiel: eine Quelle pro Modus

svg_acceptance muss bei jeder Anfrage der literale Boolean true sein:

curl -X POST https://api.samsa.ai/public/v1/images/vectorizations \
  -H "Authorization: Bearer $SAMSA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": { "image_id": "123e4567-e89b-12d3-a456-426614174000" },
    "svg_acceptance": true
  }'

curl -X POST https://api.samsa.ai/public/v1/images/vectorizations \
  -H "Authorization: Bearer $SAMSA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": { "url": "https://cdn.example.com/logo.png" },
    "svg_acceptance": true,
    "webhook_url": "https://example.com/webhooks/samsa"
  }'

curl -X POST https://api.samsa.ai/public/v1/images/vectorizations \
  -H "Authorization: Bearer $SAMSA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": { "base64": "iVBORw0KGgoAAAANSUhEUg...", "mime_type": "image/png" },
    "svg_acceptance": true
  }'

Der normale (abgerechnete) Pfad gibt einen pending-Job zurück:

202 Accepted

{
  "id": "a8b9c0d1-2e3f-4a4b-5c6d-7e8f9a0b1c2d",
  "status": "pending",
  "estimated_credits": 5
}

Kosten = 5 Credits bei einem Miss; 0 bei einem Cache-Treffer. Wenn die Quelle eine image_id ist, die du besitzt, und bereits ein Vektorergebnis dafür existiert, gibt die Einreichung sofort 202 mit status: "completed" und estimated_credits: 0 zurück — es wird kein neuer Job eingereiht und das Concurrency-Limit deiner Organisation wird nicht belegt.

Freigabe-Gates

Die Vektorisierung hat zwei unabhängige Auslieferungs-Gates, beide bei einem Fehler ohne Abrechnung durchgesetzt:

svg_acceptance muss der literale Boolean true sein. Ein fehlender, false- oder anderer Wert wird mit 422 svg_acceptance_required abgelehnt.
Eine aktuelle, serverseitig verifizierte ToS/AUP-Zustimmung ist ebenfalls erforderlich — das Anfrage-Flag wird niemals als dieser Fakt vertraut. Eine fehlende oder veraltete Zustimmung wird mit 403 svg_phase1_scope_out_required abgelehnt; akzeptiere die aktuellen ToS/AUP und versuche es erneut.

Fehler

Status	Code	Wann
`402`	`insufficient_credits` / `insufficient_team_credits` / `insufficient_unallocated_credits`	Der Stand, den dieses Credential ausgeben kann, liegt unter den Job-Kosten. Organisationen mit mindestens einem aktiven Team erhalten statt `insufficient_credits` die team-bezogenen Codes (ausgenommen vom Team-Budgeting befreite System-Organisationen). Ein operativer Fehler in der Abbuchung selbst kann dennoch das generische `insufficient_credits` liefern, unabhängig vom Regime.
`402`	`subscription_inactive`	Die Organisation hat kein nutzbares Abonnement.
`403`	`missing_scope`	Dem Schlüssel fehlt der `images.transform`-Scope.
`403`	`svg_phase1_scope_out_required`	Die serverseitig verifizierte ToS/AUP-Scope-out-Zustimmung fehlt oder ist veraltet (keine Abrechnung).
`404`	`not_found`	Die Quell-`image_id` ist unbekannt oder gehört nicht dem Key-Ersteller — auch ein Bild, das ein anderes Mitglied deiner Organisation erstellt hat, ist ein `404`.
`422`	`validation_error`	Null oder mehrere Quellmodi angegeben.
`422`	`svg_acceptance_required`	`svg_acceptance` ist nicht der literale Boolean `true` (keine Abrechnung).
`429`	`rate_limited` / `too_many_active_jobs`	Pro-Schlüssel-Ratenfenster oder pro-Organisation-Concurrency-Limit überschritten.

Autorisierungen

Authorization

string

header

erforderlich

Organization API key as a bearer token: Authorization: Bearer samsa_sk_....

Body

application/json

POST /images/vectorizations body (SAM-821 / S8.9 — Art. 50(2) scope-out).

Vectorize ONE source image into an SVG (Recraft; 5 credits flat). The source is exactly one of image_id (an image in your organization's context), an https url, or base64+mime_type. There is NO model parameter.

SVG is a documented EU AI Act Art. 50(2) scope-out: an SVG cannot carry a C2PA manifest or an embedded watermark, so vector outputs are delivered unsigned. Delivery is therefore gated on svg_acceptance — an explicit acknowledgment that the SVG is an unsigned, unwatermarked scope-out output. This acknowledgment is disclosure / audit evidence, NOT a compliance waiver. svg_acceptance must be the literal boolean true; a missing, false, or any other value is rejected 422 svg_acceptance_required with no charge. Delivery ALSO requires a current, server-verified ToS/AUP acceptance (the request flag is never trusted as that fact); a missing / stale acceptance is 403 svg_phase1_scope_out_required with no charge.

Cost = 5 credits on a miss; 0 on a cache HIT. When the source is an image_id you own and a vector result already exists for it, the submit returns 202 with status: "completed" and estimated_credits: 0 immediately (no new job is queued and the org's concurrency cap is not consumed).

image

PublicImageEditSource · object

erforderlich

The source image: exactly one of image_id, an https url, or base64+mime_type.

Show child attributes

svg_acceptance

boolean

erforderlich

Must be the literal boolean true: an explicit acknowledgment that SVG (vector) output is an EU AI Act Art. 50(2) scope-out delivered UNSIGNED and UNWATERMARKED. This acknowledgment is disclosure / audit evidence, NOT a compliance waiver. Any other value (missing / false) is rejected 422 svg_acceptance_required with no charge.

Beispiel:

true

webhook_url

string | null

Optional https webhook notified once on terminal status (signed per the webhook signature scheme; see the webhooks docs). On a cache hit the completed event fires immediately.

Beispiel:

"https://example.com/webhooks/samsa"

Antwort

Successful Response

Shared 202 body for the transform-op submits (SAM-813 / S8 wave).

Every POST /images/<op> returns the async job handle {id, status, estimated_credits}. The initial status is pending (the job is queued), with ONE exception: background-removals and vectorizations answer an owned-image_id cache hit (a ready result already exists for that image) with status: "completed" and estimated_credits: 0 — no new job is queued, the completed webhook event is emitted immediately for a supplied webhook_url, and the result is already available from the op's GET .../{id} endpoint. The other transform ops (img2img, variations, resizes, upscales) always start pending.

string<uuid>

erforderlich

The job id — poll the op's GET .../{id} endpoint.

status

enum<string>

erforderlich

Initial status: pending (job queued — enter the polling flow), or completed with estimated_credits: 0 when background-removals / vectorizations serve an owned-image cache hit (the result is immediately available).

Verfügbare Optionen:

pending,

processing,

completed,

failed,

cancelled

Beispiel:

"pending"

estimated_credits

integer

erforderlich

Credits this job is expected to cost — 0 on a cache-hit completed response.

Beispiel:

5

Übersicht

Endpunkte

Ein Bild vektorisieren

Beispiel: eine Quelle pro Modus

Freigabe-Gates

Fehler

Autorisierungen

Body

Antwort

​Beispiel: eine Quelle pro Modus

​Freigabe-Gates

​Fehler

Autorisierungen

Body

Antwort

Beispiel: eine Quelle pro Modus

Freigabe-Gates

Fehler