{ "openapi": "3.0.1", "info": { "title": "Bulk AI Image Upscaler from CSV, Google Sheet or Dataset", "description": "Upscales every image linked in a dataset, CSV, Excel file or Google Sheet 2x, 3x or 4x with AI (Real-ESRGAN) and stores each with a public link, keeping your columns. Inputs: datasetId or fileUrl, urlField, scale. Charged per image delivered, plus per extra input megapixel. Agent-ready: x402, MCP.", "version": "0.1", "x-build-id": "9kEbhRqFHrECVqfCo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nerolabs~bulk-image-upscaler/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nerolabs-bulk-image-upscaler", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nerolabs~bulk-image-upscaler/runs": { "post": { "operationId": "runs-sync-nerolabs-bulk-image-upscaler", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nerolabs~bulk-image-upscaler/run-sync": { "post": { "operationId": "run-sync-nerolabs-bulk-image-upscaler", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "fileUrl": { "title": "File or Google Sheet URL", "type": "string", "description": "Link to a CSV, TSV, Excel (.xlsx), JSON or JSON Lines file, or a Google Sheets link (share it as 'Anyone with the link can view'; a normal edit link is converted automatically). One row per image. Use this, 'datasetId', 'imageUrls' or 'data', only one." }, "datasetId": { "title": "Dataset", "type": "string", "description": "An Apify dataset whose rows hold image links, for example the output of a scraper or of Bulk Image & File Downloader (use 'fileUrl' as the link column)." }, "imageUrls": { "title": "Image URLs", "type": "array", "description": "A plain list of direct image links, if you have no file or dataset. Each becomes one output row.", "items": { "type": "string" } }, "data": { "title": "Rows", "type": "array", "description": "Rows as JSON objects, for callers that send data directly (agents, API, n8n, Make). Each row needs a column holding an image link." }, "urlField": { "title": "Link column", "type": "string", "description": "The column holding each row's image link. Leave empty to detect it (a column named like imageUrl, image, photo or url, else the column with the most links). A cell holding several links or a list uses the first one." }, "scale": { "title": "Upscale factor", "enum": [ "4", "3", "2" ], "type": "string", "description": "How much bigger each side gets. 4x turns 500 x 500 into 2000 x 2000. The model always works at 4x; 2x and 3x are resized down from that result, so they cost the same.", "default": "4" }, "outputFormat": { "title": "Output format", "enum": [ "auto", "jpg", "png", "webp" ], "type": "string", "description": "File type of the upscaled images. Auto keeps transparency by using PNG only for images that have it.", "default": "auto" }, "quality": { "title": "JPEG / WebP quality", "minimum": 40, "maximum": 100, "type": "integer", "description": "Compression quality for JPEG and WebP output, 40 to 100.", "default": 92 }, "maxInputMegapixels": { "title": "Largest input (megapixels)", "minimum": 0.1, "maximum": 16, "type": "number", "description": "Inputs bigger than this are shrunk (keeping their shape) before upscaling, so a huge photo cannot produce a gigantic output or a large charge. 4 MP is about 2000 x 2000, which gives an 8000 x 8000 output at 4x. Rows where this happened show resizedToFitCap: true.", "default": 4 }, "skipIfLongEdgeAtLeast": { "title": "Skip images at least this big (px)", "minimum": 0, "type": "integer", "description": "Skip, and never charge for, images whose longest side is already at least this many pixels. Useful for mixed catalogues where only the small photos need upscaling. 0 upscales everything.", "default": 0 }, "fileNameField": { "title": "Name files by column", "type": "string", "description": "Optional column (for example sku or id) used to name each stored file, as upscaled-.jpg. Default is the source file's own name." }, "keepOriginalFields": { "title": "Keep my original columns", "type": "boolean", "description": "Copy each input row's columns into its output row, next to the upscaled image link.", "default": true }, "storeName": { "title": "Keep images in a named store", "type": "string", "description": "Optional named key-value store to save the images in, so they outlive the run's normal data retention. Leave empty to use the run's own storage." }, "maxImages": { "title": "Max images", "minimum": 0, "type": "integer", "description": "Stop after this many images have been upscaled (and charged). 0 means no limit.", "default": 0 }, "maxItems": { "title": "Max rows", "minimum": 1, "type": "integer", "description": "Read at most this many input rows." }, "fileFormat": { "title": "File format", "enum": [ "auto", "csv", "tsv", "xlsx", "json", "jsonl" ], "type": "string", "description": "Format of 'fileUrl'. Auto detects it from the link, the server's content type or the content.", "default": "auto" }, "sheetName": { "title": "Excel sheet name", "type": "string", "description": "For Excel files, the sheet to read. Default is the first sheet." }, "maxDownloadMb": { "title": "Largest download (MB)", "minimum": 1, "maximum": 200, "type": "integer", "description": "Image downloads larger than this are skipped (not charged).", "default": 50 }, "requestTimeoutSecs": { "title": "Download timeout (seconds)", "minimum": 5, "maximum": 600, "type": "integer", "description": "How long to wait for one image download before giving up on it (not charged).", "default": 60 } } }, "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 } } } } } } } } } }