{ "openapi": "3.0.1", "info": { "title": "Image Watermark Remover — Batch Remove Logos & Stamps", "description": "Remove watermarks, logos and date stamps from up to 20 image URLs per run via API. Get JPG, PNG or WebP files plus before/after previews. USD 0.05 per image.", "version": "1.0", "x-build-id": "kTtXXVuCy8iWoHiZc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/muhammadafzal~ai-image-watermark-remover/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-muhammadafzal-ai-image-watermark-remover", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/muhammadafzal~ai-image-watermark-remover/runs": { "post": { "operationId": "runs-sync-muhammadafzal-ai-image-watermark-remover", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/muhammadafzal~ai-image-watermark-remover/run-sync": { "post": { "operationId": "run-sync-muhammadafzal-ai-image-watermark-remover", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "imageUrls" ], "properties": { "imageUrls": { "title": "Image URLs", "minItems": 1, "maxItems": 20, "type": "array", "description": "Public HTTPS URLs of JPG, PNG, or WebP images to clean. Provide 1–20 URLs. The prefilled sample is a beach photo with a camera date stamp in the bottom-right corner. Private IP ranges, localhost, credentials, and animated GIFs are rejected.", "items": { "type": "string" } }, "detectionMode": { "title": "Detection mode", "enum": [ "auto", "corner_bottom_right", "corner_bottom_left", "corner_top_right", "corner_top_left", "all_corners", "bottom_banner", "center", "full_image", "manual_boxes" ], "type": "string", "description": "Use a corner, bottom_banner, or center mode when you know where the watermark sits; it is faster and changes nothing else. 'auto' scans the corners, bottom strip, and center and can also alter real detail on photos without a watermark. 'manual_boxes' uses your coordinates. Example: corner_bottom_right.", "default": "auto" }, "inpaintMethod": { "title": "Inpainting algorithm", "enum": [ "hybrid", "telea", "ns" ], "type": "string", "description": "Algorithm used to reconstruct background under watermarks. 'hybrid' combines Navier-Stokes contour continuation with texture noise synthesis to avoid blurry smudges. 'telea' uses Fast Marching method for smooth gradients. 'ns' uses Navier-Stokes fluid dynamics.", "default": "hybrid" }, "maskDilation": { "title": "Mask dilation radius (px)", "minimum": 1, "maximum": 25, "type": "integer", "description": "Number of pixels to expand the watermark mask. Expanding the mask slightly ensures antialiased semi-transparent text edges and halos are completely eliminated. Enter 1–25; default is 5.", "default": 5 }, "outputFormat": { "title": "Output format", "enum": [ "jpeg", "png", "webp" ], "type": "string", "description": "Image format of the cleaned output file. JPEG is compact, PNG is lossless, and WebP offers high compression quality; default is JPEG.", "default": "jpeg" }, "quality": { "title": "Output quality", "minimum": 60, "maximum": 100, "type": "integer", "description": "Encoding compression quality from 60 to 100 for JPEG or WebP output. Default is 92; ignored for PNG.", "default": 92 }, "maxDimension": { "title": "Max image dimension (px)", "minimum": 512, "maximum": 6000, "type": "integer", "description": "Caps the longest image side in pixels before inpainting. Enter 512–6000; default is 4096. Smaller images are never upscaled.", "default": 4096 }, "createComparison": { "title": "Generate before/after comparison", "type": "boolean", "description": "Create and save a side-by-side Before/After comparison JPEG in the Key-Value Store alongside the cleaned image.", "default": true }, "includeBase64": { "title": "Include base64 in dataset", "type": "boolean", "description": "Include a data:image/... base64 string directly in each dataset record for seamless low-code integration in n8n, Make, or Zapier. Keep this or 'Save images to Key-Value Store' on; a run with both off is rejected before any image is processed.", "default": false }, "saveToKeyValueStore": { "title": "Save images to Key-Value Store", "type": "boolean", "description": "Save cleaned image files and comparison previews to the Actor Key-Value Store with public download URLs. Keep this or 'Include base64 in dataset' on; a run with both off is rejected before any image is processed.", "default": true }, "maxConcurrency": { "title": "Parallel image processing", "minimum": 1, "maximum": 4, "type": "integer", "description": "Number of images to process simultaneously. Enter 1–4; default is 2.", "default": 2 }, "manualBoxes": { "title": "Manual watermark boxes", "type": "array", "description": "Custom bounding boxes when detectionMode is set to 'manual_boxes'. Enter absolute pixel coordinates ({x, y, width, height}) or percentages ({xPercent, yPercent, widthPercent, heightPercent}).", "items": { "type": "object" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }